1
|
Shovlin S, Young LS, Varešlija D. Hormonal and neuronal interactions shaping the brain metastatic microenvironment. Cancer Lett 2025; 624:217739. [PMID: 40288563 DOI: 10.1016/j.canlet.2025.217739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2025] [Revised: 04/15/2025] [Accepted: 04/22/2025] [Indexed: 04/29/2025]
Abstract
Metastatic progression drives the majority of cancer-related fatalities, and involvement of the central nervous system (CNS) poses especially formidable challenges to patients and clinicians. Brain metastases (BrM), commonly originate from lung, breast and melanoma cancers, and carry disproportionately poor outcomes. Although therapeutic advances have extended survival for many extracranial tumors, BrM incidence continues to climb-underscoring critical knowledge gaps in understanding the unique biology of tumor colonization in the CNS. While definitive evidence remains limited, a growing focus on cancer neuroscience-especially regarding hormone dependent cancer cells in the brain-has begun to reveal that factors normally regulated by sex steroids and neurosteroids may similarly influence the specialized metastatic microenvironment in the CNS. Steroid hormones can permeate the blood-brain barrier (BBB) or be synthesized de novo by astrocytes and other CNS-resident cells, potentially influencing processes such as inflammation, synaptic plasticity, and immune surveillance. However, how these hormonal pathways are co-opted by disseminated cancer cells remains unclear. Here, we review the complex hormonal landscape of the adult brain and examine how neuroendocrine-immune interactions, often regulated by sex hormones, may support metastatic growth. We discuss the interplay between systemic hormones, local steroidogenesis, and tumor adaptation to identify novel therapeutic opportunities.
Collapse
Affiliation(s)
- Stephen Shovlin
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Leonie S Young
- Department of Surgery, RCSI University of Medicine and Health Sciences, Dublin, Ireland; Beaumont RCSI Cancer Centre, Beaumont Hospital, Dublin, Ireland.
| | - Damir Varešlija
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland; Beaumont RCSI Cancer Centre, Beaumont Hospital, Dublin, Ireland.
| |
Collapse
|
2
|
Kawasaki K, Salehi S, Zhan YA, Chen K, Lee JH, Salataj E, Zhong H, Manoj P, Kinyua D, Mello BP, Sridhar H, Tischfield SE, Linkov I, Ceglia N, Zatzman M, Havasov E, Shah NJ, Meng F, Loomis B, Bhanot UK, Redin E, de Stanchina E, Hamard PJ, Koche RP, McPherson A, Quintanal-Villalonga Á, Shah SP, Massagué J, Rudin CM. FOXA2 promotes metastatic competence in small cell lung cancer. Nat Commun 2025; 16:4865. [PMID: 40419484 PMCID: PMC12106783 DOI: 10.1038/s41467-025-60141-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Accepted: 05/14/2025] [Indexed: 05/28/2025] Open
Abstract
Small cell lung cancer (SCLC) is known for its high metastatic potential, with most patients demonstrating clinically evident metastases in multiple organs at diagnosis. The factors contributing to this exceptional metastatic capacity have not been defined. To bridge this gap, we compare gene expression in SCLC patient samples who never experienced metastasis or relapse throughout their clinical course, versus primary SCLC patient samples from more typical patients who had metastatic disease at diagnosis. This analysis identifies FOXA2 as a transcription factor strongly associated with SCLC metastasis. Subsequent analyses in experimental models demonstrates that FOXA2 induces a fetal neuroendocrine gene expression program and promotes multi-site metastasis. Moreover, we identify ASCL1, a transcription factor known for its initiating role in SCLC tumorigenesis, as a direct binder of the FOXA2 promoter and regulator of FOXA2 expression. Taken together, these data define the ASCL1-FOXA2 axis as a critical driver of multiorgan SCLC metastasis.
Collapse
Affiliation(s)
- Kenta Kawasaki
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sohrab Salehi
- Computational Oncology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yingqian A Zhan
- Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kevin Chen
- Antitumor Assessment Core, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jun Ho Lee
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Eralda Salataj
- Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hong Zhong
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Parvathy Manoj
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dennis Kinyua
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Barbara P Mello
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Harsha Sridhar
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sam E Tischfield
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Irina Linkov
- Pathology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nicholas Ceglia
- Computational Oncology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Matthew Zatzman
- Computational Oncology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Eliyahu Havasov
- Computational Oncology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Neil J Shah
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Fanli Meng
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Brian Loomis
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Umesh K Bhanot
- Pathology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Esther Redin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Elisa de Stanchina
- Antitumor Assessment Core, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Pierre-Jacques Hamard
- Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Richard P Koche
- Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrew McPherson
- Computational Oncology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Sohrab P Shah
- Computational Oncology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joan Massagué
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Weill Cornell Medicine Graduate School of Medical Sciences, New York, NY, USA.
| | - Charles M Rudin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Weill Cornell Medicine Graduate School of Medical Sciences, New York, NY, USA.
| |
Collapse
|
3
|
Nadeau A, Tsering T, Abdouh M, Kienzle L, Cleyle J, Taylor L, Douanne N, Dickinson K, Siegel PM, Burnier JV. Characterization of extracellular vesicle-associated DNA and proteins derived from organotropic metastatic breast cancer cells. J Exp Clin Cancer Res 2025; 44:157. [PMID: 40410902 PMCID: PMC12100931 DOI: 10.1186/s13046-025-03418-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2025] [Accepted: 05/12/2025] [Indexed: 05/25/2025] Open
Abstract
BACKGROUND While primary breast cancer (BC) is often effectively managed, metastasis remains the primary cause of BC-related fatalities. Gaps remain in our understanding of the mechanisms regulating cancer cell organotropism with predilection to specific organs. Unraveling mediators of site-specific metastasis could enhance early detection and enable more tailored interventions. Liquid biopsy represents an innovative approach in cancer involving the analysis of biological materials such as circulating tumor DNA and tumor-derived extracellular vesicles (EV) found in body fluids like blood or urine. This offers valuable insights for characterizing and monitoring tumor genomes to advance personalized medicine in metastatic cancers. METHODS We performed in-depth analyses of EV cargo associated with BC metastasis using eight murine cell line models with distinct metastatic potentials and organotropism to the lung, the bone, the liver, and the brain. We characterized the secretome of these cells to identify unique biomarkers specific to metastatic sites. RESULTS Small EVs isolated from all cell lines were quantified and validated for established EV markers. Tracking analysis and electron microscopy revealed EV secretion patterns that differed according to cell line. Cell-free (cf)DNA and EV-associated DNA (EV-DNA) were detected from all cell lines with varying concentrations. We detected a TP53 mutation in both EV-DNA and cfDNA. Mass spectrometry-based proteomics analyses identified 698 EV-associated proteins, which clustered according to metastatic site. This analysis highlighted both common EV signatures and proteins involved in cancer progression and organotropism unique to metastatic cell lines. Among these, 327 significantly differentially enriched proteins were quantified with high confidence levels across BC and metastatic BC cells. We found enrichment of specific integrin receptors in metastatic cancer EVs compared to EVs secreted from non-transformed epithelial cells and matched tumorigenic non-metastatic cells. Pathway analyses revealed that EVs derived from parental cancer cells display a cell adhesion signature and are enriched with proteins involved in cancer signaling pathways. CONCLUSION Taken together, the characterization of EV cargo in a unique model of BC organotropism demonstrated that EV-DNA and EV proteomes were informative of normal and cancer states. This work could help to identify BC biomarkers associated with site-specific metastasis and new therapeutic targets.
Collapse
Affiliation(s)
- Amélie Nadeau
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
- Department of Pathology, McGill University, Montreal, QC, Canada
| | - Thupten Tsering
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
- Department of Pathology, McGill University, Montreal, QC, Canada
| | - Mohamed Abdouh
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Laura Kienzle
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Jenna Cleyle
- Centre for Translational Biology, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Lorne Taylor
- Centre for Translational Biology, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Noélie Douanne
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
- Department of Pathology, McGill University, Montreal, QC, Canada
| | - Kyle Dickinson
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Peter M Siegel
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, QC, Canada
- Department of Medicine, McGill University, Montreal, QC, Canada
| | - Julia V Burnier
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
- Department of Pathology, McGill University, Montreal, QC, Canada.
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, QC, Canada.
- Gerald Bronfman Department of Oncology, McGill University, Montreal, QC, Canada.
| |
Collapse
|
4
|
Meng C, Lin K, Shi W, Teng H, Wan X, DeBruine A, Wang Y, Liang X, Leo J, Chen F, Gu Q, Zhang J, Van V, Maldonado KL, Gan B, Ma L, Lu Y, Zhao D. Histone methyltransferase ASH1L primes metastases and metabolic reprogramming of macrophages in the bone niche. Nat Commun 2025; 16:4681. [PMID: 40394007 PMCID: PMC12092585 DOI: 10.1038/s41467-025-59381-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 04/22/2025] [Indexed: 05/22/2025] Open
Abstract
Bone metastasis is a major cause of cancer death; however, the epigenetic determinants driving this process remain elusive. Here, we report that histone methyltransferase ASH1L is genetically amplified and is required for bone metastasis in men with prostate cancer. ASH1L rewires histone methylations and cooperates with HIF-1α to induce pro-metastatic transcriptome in invading cancer cells, resulting in monocyte differentiation into lipid-associated macrophage (LA-TAM) and enhancing their pro-tumoral phenotype in the metastatic bone niche. We identified IGF-2 as a direct target of ASH1L/HIF-1α and mediates LA-TAMs' differentiation and phenotypic changes by reprogramming oxidative phosphorylation. Pharmacologic inhibition of the ASH1L-HIF-1α-macrophages axis elicits robust anti-metastasis responses in preclinical models. Our study demonstrates epigenetic alterations in cancer cells reprogram metabolism and features of myeloid components, facilitating metastatic outgrowth. It establishes ASH1L as an epigenetic driver priming metastasis and macrophage plasticity in the bone niche, providing a bona fide therapeutic target in metastatic malignancies.
Collapse
Affiliation(s)
- Chenling Meng
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Kevin Lin
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Wei Shi
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Hongqi Teng
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Xinhai Wan
- Department of Endocrine Neoplasia & Hormonal Disorders, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Anna DeBruine
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
- The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, 77030, USA
| | - Yin Wang
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Xin Liang
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Javier Leo
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
- The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, 77030, USA
| | - Feiyu Chen
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Qianlin Gu
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Jie Zhang
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Vivien Van
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Kiersten L Maldonado
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Boyi Gan
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Li Ma
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Yue Lu
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
| | - Di Zhao
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
| |
Collapse
|
5
|
Rack S, Patel K, Heathcote E, Mistry H, Betts G, Harrington K, Metcalf R. KDM6A, ARID1A and SETD2 loss-of-function mutations as prognostic biomarkers and their association with sites of metastatic progression in locally-advanced, recurrent or metastatic adenoid cystic carcinoma. Oral Oncol 2025; 166:107229. [PMID: 40381467 DOI: 10.1016/j.oraloncology.2025.107229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 02/13/2025] [Accepted: 02/23/2025] [Indexed: 05/20/2025]
Abstract
OBJECTIVES Recurrent/metastatic (R/M) adenoid cystic carcinoma (ACC) is typically slow growing however, some patients have more rapid progression. We sought to classify mutations in chromatin regulating genes in ACC to determine the impact of chromatin regulatory disfunction on clinical outcomes. MATERIALS AND METHODS Matched clinical-genomic data from 271 pts with non-resectable or R/M ACC were included in this study. 132 pts were recruited locally. 139 ACC pts were included from cBioPortal for analysis. Mutations were classified as pathogenic using standardised bioinformatic pipelines. Analyses was performed to determine the impact of one or more mutations on overall survival from recurrence (OSr) and site of metastases. RESULTS KDM6A mutations were seen in 12 % of patients, followed by ARID1A 9 %, EP300 6 %, CREBBP 5 %, KMT2D 5 %, SETD2 2.6 %, an KMT2C 1.8 %. While 15 % of patients harboured activating NOTCH1/2 mutations, which co-occurred with mutations in KDM6A, ARID1A, and CREBBP. NOTCH activation (8.4 v 2.3 years, p= <0.005), KDM6A (6.6 v 4.6 years, p = 0.008) and SETD2 (5.9 v 3.8 years, p = 0.04) mutations were associated with worse OSr. In NOTCH wild-type patients, median OSr for KDM6A 9.2 v 4.8 years (p = 0.07) and SETD2 was 9.8 v 3.2 years (p = 0.04). KDM6A (OR 4.5, 95 % CI 1.7-13.2, p = 0.002) mutations were significantly associated with bone metastasises and ARID1A mutations were associated with bone (OR 3.5, 95 % CI 1.2-11.8, p = 0.025) and liver (OR 3.0, 95 % CI 1.0-9.1, p = 0.053) in NOTCH wild-type patients. CONCLUSIONS ARID1A, KDM6A and SETD2 loss of function mutations negatively impact clinical outcomes in R/M-ACC irrespective of NOTCH status.
Collapse
Affiliation(s)
- Sam Rack
- The Christie NHS Foundation Trust, Manchester, UK
| | - Karan Patel
- The Christie NHS Foundation Trust, Manchester, UK
| | | | | | - Guy Betts
- Manchester University NHS Foundation Trust, Manchester, UK
| | | | | |
Collapse
|
6
|
Gupta A, Gazzo A, Selenica P, Safonov A, Pareja F, da Silva EM, Brown DN, Shao H, Zhu Y, Patel J, Blanco-Heredia J, Stefanovska B, Carpenter MA, Chen Y, Vegas I, Pei X, Frosina D, Jungbluth AA, Ladanyi M, Curigliano G, Weigelt B, Riaz N, Powell SN, Razavi P, Harris RS, Reis-Filho JS, Marra A, Chandarlapaty S. APOBEC3 mutagenesis drives therapy resistance in breast cancer. Nat Genet 2025:10.1038/s41588-025-02187-1. [PMID: 40379787 DOI: 10.1038/s41588-025-02187-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 04/01/2025] [Indexed: 05/19/2025]
Abstract
Acquired genetic alterations drive resistance to endocrine and targeted therapies in metastatic breast cancer; however, the underlying processes engendering these alterations are largely uncharacterized. To identify the underlying mutational processes, we utilized a clinically annotated cohort of 3,880 patient samples with tumor-normal sequencing. Mutational signatures associated with apolipoprotein B mRNA-editing enzyme catalytic polypeptide-like 3 (APOBEC3) enzymes were prevalent and enriched in post-treatment hormone receptor-positive cancers. These signatures correlated with shorter progression-free survival on antiestrogen plus CDK4/6 inhibitor therapy in hormone receptor-positive metastatic breast cancer. Whole-genome sequencing of breast cancer models and paired primary-metastatic samples demonstrated that active APOBEC3 mutagenesis promoted therapy resistance through characteristic alterations such as RB1 loss. Evidence of APOBEC3 activity in pretreatment samples illustrated its pervasive role in breast cancer evolution. These studies reveal APOBEC3 mutagenesis to be a frequent mediator of therapy resistance in breast cancer and highlight its potential as a biomarker and target for overcoming resistance.
Collapse
Affiliation(s)
- Avantika Gupta
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrea Gazzo
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Pier Selenica
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anton Safonov
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Fresia Pareja
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Edaise M da Silva
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David N Brown
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hong Shao
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yingjie Zhu
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Juber Patel
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Juan Blanco-Heredia
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Bojana Stefanovska
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX, USA
- Howard Hughes Medical Institute, University of Texas Health San Antonio, San Antonio, TX, USA
| | - Michael A Carpenter
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX, USA
- Howard Hughes Medical Institute, University of Texas Health San Antonio, San Antonio, TX, USA
| | - Yanjun Chen
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX, USA
| | - Isabella Vegas
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Xin Pei
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Denise Frosina
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Achim A Jungbluth
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marc Ladanyi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Giuseppe Curigliano
- Department of Oncology and Haemato-Oncology, University of Milano, Milan, Italy
- Early Drug Development for Innovative Therapies, European Institute of Oncology IRCSS, Milan, Italy
| | - Britta Weigelt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nadeem Riaz
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Simon N Powell
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Pedram Razavi
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill-Cornell Medical College, New York, NY, USA
| | - Reuben S Harris
- Department of Biochemistry and Structural Biology, University of Texas Health San Antonio, San Antonio, TX, USA
- Howard Hughes Medical Institute, University of Texas Health San Antonio, San Antonio, TX, USA
| | - Jorge S Reis-Filho
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Antonio Marra
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Department of Oncology and Haemato-Oncology, University of Milano, Milan, Italy.
- Early Drug Development for Innovative Therapies, European Institute of Oncology IRCSS, Milan, Italy.
| | - Sarat Chandarlapaty
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Weill-Cornell Medical College, New York, NY, USA.
| |
Collapse
|
7
|
Much C, Rajkumar SM, Chen L, Cohen JM, Gade AR, Pitt GS, Long Y. Macromolecular interactions dictate Polycomb-mediated epigenetic repression. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.05.15.654236. [PMID: 40463101 PMCID: PMC12132310 DOI: 10.1101/2025.05.15.654236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/11/2025]
Abstract
The dynamic regulation of epigenetic states relies on complex macromolecular interactions. PRC2, the methyltransferase complex responsible for depositing H3K27me3, interacts with distinct accessory proteins to form the mutually exclusive subcomplexes PHF1-PRC2.1, MTF2-PRC2.1, PHF19-PRC2.1, and PRC2.2. The functions of these subcomplexes are unclear and thought to be highly redundant. Here we show that PRC2 subcomplexes have distinct roles in epigenetic repression of lineage-specific genes and stem cell differentiation. Using a human pluripotent stem cell model, we engineered a comprehensive set of separation-of-function mutants to dissect the roles of individual protein-protein and DNA-protein interactions. Our results show that PRC2.1 and PRC2.2 deposit H3K27me3 locus-specifically, resulting in opposing outcomes in cardiomyocyte differentiation. We find that MTF2 stimulates PRC2.1-mediated repression in stem cells and cardiac differentiation through its interaction with DNA and H3K36me3, while PHF19 antagonizes it. Furthermore, MTF2-PRC2.1 maintains normal cardiomyocyte function. Together, these results reveal the importance and specificity of individual macromolecular interactions in Polycomb-mediated epigenetic repression in human stem cells and differentiation.
Collapse
Affiliation(s)
- Christian Much
- Cardiovascular Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
- Department of Biochemistry, Weill Cornell Medicine, New York, NY 10021, USA
| | - Sandy M. Rajkumar
- Cardiovascular Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
- Department of Biochemistry, Weill Cornell Medicine, New York, NY 10021, USA
- These authors contributed equally
| | - Liming Chen
- Cardiovascular Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
- Department of Biochemistry, Weill Cornell Medicine, New York, NY 10021, USA
- These authors contributed equally
| | - John M. Cohen
- Cardiovascular Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
- Department of Biochemistry, Weill Cornell Medicine, New York, NY 10021, USA
| | - Aravind R. Gade
- Cardiovascular Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Geoffrey S. Pitt
- Cardiovascular Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Yicheng Long
- Cardiovascular Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
- Department of Biochemistry, Weill Cornell Medicine, New York, NY 10021, USA
| |
Collapse
|
8
|
Matejcic M, Teer JK, Hoehn HJ, Diaz DB, Shankar K, Gong J, Nguyen NT, Loroña NC, Coppola D, Fulmer CG, Saglam O, Jiang K, Cress WD, Muñoz-Antonia T, Flores I, Gordián ER, Oliveras Torres JA, Felder SI, Sanchez J, Fleming JB, Siegel EM, Freedman JA, Dutil J, Stern MC, Fridley BL, Figueiredo JC, Schmit SL. Colorectal Tumors in Diverse Patient Populations Feature a Spectrum of Somatic Mutational Profiles. Cancer Res 2025; 85:1928-1944. [PMID: 40126181 DOI: 10.1158/0008-5472.can-24-0747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 08/21/2024] [Accepted: 02/25/2025] [Indexed: 03/25/2025]
Abstract
Admixed populations, including the Hispanic/Latino/a community, are underrepresented in cancer genetic/genomic studies. Leveraging the Latino Colorectal Cancer Consortium (LC3) and other existing datasets, we analyzed whole-exome sequencing data on tumor/normal pairs from 718 individuals with colorectal cancer to map somatic mutational features by ethnicity and genetic similarity. Global proportions of African, Asian, European, and Native American genetic ancestries were estimated using ADMIXTURE. Associations between these proportions and somatic mutational features were examined using logistic regression. APC, TP53, and KRAS were the top three mutated genes across all participants and in the subset of Latino individuals in LC3. In analyses examining recurrently mutated genes, tumors from patients of Latino ethnicity had fewer KRAS and PIK3CA mutations compared with tumors from non-Latino patients. Genetic ancestry overall was associated with CDC27 mutation status, and African genetic ancestry was associated with SMAD2 mutation status. In exome-wide analyses, African genetic ancestry was significantly associated with higher odds of mutation in KNCN and TMEM184B. Native American genetic ancestry was associated with a lower frequency of microsatellite instability-high tumors. The SBS11 mutational signature was associated with Native American genetic ancestry as well as Latino ethnicity. In an independent replication dataset, MSK-IMPACT, estimates of association were largely consistent in direction but nonsignificant. A meta-analysis of LC3 and MSK-IMPACT showed that African genetic ancestry was significantly associated with KRAS mutation status and MSI status. This work facilitates precision medicine initiatives by providing insights into the contribution of genetic ancestry to molecular features of colorectal tumors. Significance: Analysis of tumors from various populations can broadly characterize genomic landscapes and enhance precision medicine strategies.
Collapse
Affiliation(s)
- Marco Matejcic
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Jamie K Teer
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Hannah J Hoehn
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
- Non-Therapeutic Research Office, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Diana B Diaz
- Non-Therapeutic Research Office, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Kritika Shankar
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, Ohio
| | - Jun Gong
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Nathalie T Nguyen
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Nicole C Loroña
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Domenico Coppola
- Department of Anatomic Pathology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Clifton G Fulmer
- Department of Pathology, Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic Foundation, Cleveland, Ohio
| | - Ozlen Saglam
- Department of Anatomic Pathology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Kun Jiang
- Department of Anatomic Pathology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - W Douglas Cress
- Department of Molecular Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Teresita Muñoz-Antonia
- Department of Molecular Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Idhaliz Flores
- Department of Basic Sciences, Ponce Research Institute, Ponce Health Sciences University, Ponce, Puerto Rico
| | - Edna R Gordián
- Department of Molecular Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - José A Oliveras Torres
- Department of Basic Sciences, Ponce Research Institute, Ponce Health Sciences University, Ponce, Puerto Rico
| | - Seth I Felder
- Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Julian Sanchez
- Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Jason B Fleming
- Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Erin M Siegel
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
- Non-Therapeutic Research Office, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
- Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Jennifer A Freedman
- Division of Medical Oncology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
- Duke Cancer Institute, Durham, North Carolina
| | - Julie Dutil
- Division of Clinical and Translational Cancer Research, Comprehensive Cancer Center of the University of Puerto Rico, San Juan, Puerto Rico
| | - Mariana C Stern
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California
| | - Brooke L Fridley
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Stephanie L Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, Ohio
- Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University School of Medicine, Cleveland, Ohio
| |
Collapse
|
9
|
Fabregat-Franco C, Castet F, Castillo G, Salcedo M, Sierra A, López-Valbuena D, Pando E, Tian TV, Macarulla T. Genomic profiling unlocks new treatment opportunities for ampullary carcinoma. ESMO Open 2025; 10:104480. [PMID: 40359709 DOI: 10.1016/j.esmoop.2025.104480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2024] [Revised: 01/12/2025] [Accepted: 01/23/2025] [Indexed: 05/15/2025] Open
Abstract
BACKGROUND Ampullary carcinoma (AC) is a rare disease with an abysmal prognosis and few treatment options. The molecular landscape and its therapeutic implications remain inadequately understood. This study aims to provide a clinical and genomic characterization of AC and explore opportunities for precision oncology. MATERIALS AND METHODS We carried out a retrospective analysis of clinical and genomic features in patients with AC treated in our institution. Gene mutations were categorized into molecular pathways, and potentially targetable alterations were classified according to the European Society for Medical Oncology (ESMO) Scale for Clinical Actionability of Molecular Targets (ESCAT). Key molecular findings were validated in an external cohort. RESULTS We included 78 patients with a median age of 66 years; 51.6% were women, and most were treated with surgery (81.2%). Histologically, they were classified as pancreaticobiliary (58.3%), intestinal (INT, 33.3%), and mixed (8.3%). The percentages of patients diagnosed at stages I, II, III, and IV disease were 18.8%, 23.4%, 32.8%, and 25.0%, respectively. Of note, the INT subtype was enriched in transforming growth factor-β pathway alterations (25.9% versus 6.1%, P = 0.03). Potentially actionable molecular alterations were found in 52% of the patients. Importantly, KRASWT tumors were enriched in potentially targetable alterations ESCAT I-IIIA both in our cohort (37.2% versus 9.4%, P = 0.006) and external validation cohort (23.0% versus 9.3%, P = 0.01), including 25.6% ERBB2 amplification/mutation, 14.0% homologous recombination deficiency status, and 7.4% microsatellite instability status. Six patients received matched targeted therapies after progression to chemotherapy, with a response rate of 50% and two patients surviving for >1 year. CONCLUSIONS AC patients are enriched in targetable alterations, especially KRASWT tumors, and could particularly benefit from precision oncology-based approaches.
Collapse
Affiliation(s)
- C Fabregat-Franco
- Medical Oncology Department, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain
| | - F Castet
- Upper Gastrointestinal and Endocrine Tumor Unit, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain
| | - G Castillo
- Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - M Salcedo
- Human Pathology Department, Hospital Universitari Vall d'Hebron, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - A Sierra
- Upper Gastrointestinal and Endocrine Tumor Unit, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain
| | - D López-Valbuena
- Upper Gastrointestinal and Endocrine Tumor Unit, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain
| | - E Pando
- Department of HPB and Transplant Surgery, Vall d'Hebron University Hospital, Barcelona, Spain
| | - T V Tian
- Upper Gastrointestinal and Endocrine Tumor Unit, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain
| | - T Macarulla
- Upper Gastrointestinal and Endocrine Tumor Unit, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain.
| |
Collapse
|
10
|
Krishnamoorthy GP, Glover AR, Untch BR, Sigcha-Coello N, Xu B, Vukel D, Liu Y, Tiedje V, Pineda JMB, Berman K, Tamarapu PP, Acuña-Ruiz A, Saqcena M, de Stanchina E, Boucai L, Ghossein RA, Knauf JA, Abdel-Wahab O, Bradley RK, Fagin JA. RBM10 loss promotes metastases by aberrant splicing of cytoskeletal and extracellular matrix mRNAs. J Exp Med 2025; 222:e20241029. [PMID: 39992626 PMCID: PMC11849553 DOI: 10.1084/jem.20241029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Revised: 10/11/2024] [Accepted: 01/13/2025] [Indexed: 02/26/2025] Open
Abstract
RBM10 modulates transcriptome-wide cassette exon splicing. Loss-of-function RBM10 mutations are enriched in thyroid cancers with distant metastases. Analysis of transcriptomes and genes mis-spliced by RBM10 loss showed pro-migratory and RHO/RAC signaling signatures. RBM10 loss increases cell velocity. Cytoskeletal and ECM transcripts subject to exon inclusion events included vinculin (VCL), tenascin C (TNC), and CD44. Knockdown of the VCL exon inclusion transcript in RBM10-null cells reduced cell velocity, whereas knockdown of TNC and CD44 exon inclusion isoforms reduced invasiveness. RAC1-GTP levels were increased in RBM10-null cells. Mouse HrasG12V/Rbm1OKO thyrocytes develop metastases that are reversed by RBM10 expression or by combined knockdown of VCL, CD44, and TNC inclusion isoforms. Thus, RBM10 loss generates exon inclusion in transcripts regulating ECM-cytoskeletal interactions, leading to RAC1 activation and metastatic competency. Moreover, a CRISPR-Cas9 screen for synthetic lethality with RBM10 loss identified NFκB effectors as central to viability, providing a therapeutic target for these lethal thyroid cancers.
Collapse
Affiliation(s)
- Gnana P. Krishnamoorthy
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anthony R. Glover
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Brian R. Untch
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nickole Sigcha-Coello
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Bin Xu
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dina Vukel
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yi Liu
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Vera Tiedje
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jose Mario Bello Pineda
- Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Katherine Berman
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Prasanna P. Tamarapu
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Adrian Acuña-Ruiz
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mahesh Saqcena
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Elisa de Stanchina
- Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Laura Boucai
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ronald A. Ghossein
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Omar Abdel-Wahab
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Robert K. Bradley
- Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - James A. Fagin
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| |
Collapse
|
11
|
Li Y, Song C, Wang H, Di W, Chen Y, Hu Y, Li P, Chen J, Ren Y, Gong J, Wang Q. Novel prognostic biomarkers in small cell lung cancer reveal mutational signatures, genomic mutations, and immune implications. Sci Rep 2025; 15:15592. [PMID: 40320401 PMCID: PMC12050310 DOI: 10.1038/s41598-025-00222-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2024] [Accepted: 04/25/2025] [Indexed: 05/08/2025] Open
Abstract
Small cell lung cancer (SCLC) is a highly malignant lung cancer subtype with a dismal prognosis and limited treatment options. This study aimed to identify new prognostic molecular biomarkers for SCLC and explore their immune-related implications for treatment strategies. We analyzed 200 SCLC samples via whole-exome sequencing (WES) and 313 samples by targeted sequencing. A smoking-related SBS4 mutational signature was linked to poorer prognosis and lower tumor mutational burden (TMB), while the APOBEC-mediated SBS13 signature was associated with better prognosis and higher TMB. We identified a molecular subtype with the worst outcomes and lowest TMB in both cohorts. Among 38 high-frequency mutated genes associated with SCLC prognosis, only UNC13A mutations were beneficial. Patients with UNC13A mutations had favorable immune infiltration and tumor immunogenicity. Additionally, TP53 splice site mutations were related to the worst survival outcomes. In conclusion, we discovered new molecular biomarkers for SCLC prognosis. Our findings on their immunological characteristics offer insights for developing novel SCLC treatment strategies.
Collapse
Affiliation(s)
- Yuting Li
- Department of Radiation Oncology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453100, China
| | - Chen Song
- Department of Hematology Laboratory, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453100, China
| | - Haijun Wang
- Department of Pathology, Xinxiang Key Laboratory of Precision Medicine, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453100, China
| | - Wenyu Di
- Department of Pathology, Xinxiang Key Laboratory of Precision Medicine, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453100, China
| | - Yangyang Chen
- Department of Radiology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453100, China
| | - Yuanyuan Hu
- Department of Radiation Oncology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453100, China
| | - Peiheng Li
- Department of Radiology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453100, China
| | - Jie Chen
- Department of Radiology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453100, China
| | - Yanfeng Ren
- Department of Health Statistics, Key Laboratory of Medicine and Health of Shandong Province, School of Public Health, Shandong Second Medical University, Baotong Xi Street, Weicheng District, Weifang, 261053, Shandong, China.
| | - Jing Gong
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
| | - Qinghua Wang
- Department of Radiation Oncology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453100, China.
- Department of Health Statistics, Key Laboratory of Medicine and Health of Shandong Province, School of Public Health, Shandong Second Medical University, Baotong Xi Street, Weicheng District, Weifang, 261053, Shandong, China.
| |
Collapse
|
12
|
Axelsson TA, Sydén F, Eisfeldt J, Eriksson Y, Lundberg GG, Jaremko G, Gyllensten OC, Tham E, Brehmer M. Diagnostic and prognostic genomic aberrations in upper tract urothelial carcinoma can be identified in focal barbotage samples. BJU Int 2025; 135:792-801. [PMID: 39654327 PMCID: PMC11975159 DOI: 10.1111/bju.16620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2025]
Abstract
OBJECTIVES To investigate whether genetic analysis of focal barbotage samples obtained at ureterorenoscopy (URS) is possible, and to identify genetic aberrations that might add prognostic information. METHODS This prospective study included barbotage samples from 42 patients with upper urinary tract urothelial carcinoma (UTUC) confirmed at URS. At URS, focal barbotage specimens were collected for cytology and for gene sequencing. Tumour grades were determined from cytology and/or biopsy, or from radical nephroureterectomy samples. Next-generation sequencing using a 385-gene panel was performed and single nucleotide variants (SNVs), deletions/insertions (indels) and copy number aberrations (CNAs) were identified. Manual filtering of the SNVs/indels was performed to identify possible pathogenic mutations. RESULTS Of the 42 samples, two failed quality control, therefore, 40 focal barbotage samples were sequenced. We identified known and suspected pathogenic mutations and other genomic aberrations in 36 samples. The most common variants were in TERT (78%), FGFR3 (50%), KMT2D (42%), KDM6A (42%), ARID1A (39%), TP53 (19%) and deletion of 9q (50%). Known pathogenic mutations in FGFR3 were common in grade 1 and 2 tumours, but not present in any grade 3 tumour. No patients with an FGFR3 mutation died during follow-up. TP53 variants or deletions, as well as amplifications of MDM2, were only present in high-grade (HG) tumours or low-grade (LG) tumours in patients who had metastasis/died from urinary tract carcinoma. CNAs were detected in 36/40 barbotage samples, 91% of the HG samples and 69% of the LG samples, including those from all five patients with LG tumours with metastasis or who died from urinary tract cancer. CONCLUSION Focal barbotage samples enable identification of gene mutations and other genetic aberrations that may add important prognostic information to histopathology and cytology. Refined prognostication of UTUC patients already at diagnosis can guide treatment decisions and follow-up programmes.
Collapse
Affiliation(s)
| | - Filip Sydén
- Department of UrologyStockholm South General HospitalStockholmSweden
| | - Jesper Eisfeldt
- Department of Clinical Genetics and GenomicsKarolinska University HospitalStockholmSweden
- Department of Molecular Medicine and SurgeryKarolinska InstitutetStockholmSweden
| | | | | | - Georg Jaremko
- Department of Pathology and Cancer DiagnosticsKarolinska University HospitalStockholmSweden
| | | | - Emma Tham
- Department of Clinical Genetics and GenomicsKarolinska University HospitalStockholmSweden
- Department of Molecular Medicine and SurgeryKarolinska InstitutetStockholmSweden
| | - Marianne Brehmer
- Department of UrologyStockholm South General HospitalStockholmSweden
- Department of Clinical Science and EducationKarolinska InstitutetStockholmSweden
| |
Collapse
|
13
|
Zheng MM, Zhou Q, Chen HJ, Jiang BY, Tang LB, Jie GL, Tu HY, Yin K, Sun H, Liu SY, Zhang JT, Xiao FM, Yang JJ, Zhang XC, Zhong WZ, Pan Y, Wang BC, Yan HH, Guo WB, Chen ZH, Wang Z, Xu CR, Li SY, Liu SYM, Zeng L, Cai SL, Wang GQ, Zhu DQ, Li YS, Wu YL. Cerebrospinal fluid circulating tumor DNA profiling for risk stratification and matched treatment of central nervous system metastases. Nat Med 2025; 31:1547-1556. [PMID: 40016451 DOI: 10.1038/s41591-025-03538-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 01/27/2025] [Indexed: 03/01/2025]
Abstract
Genomic profiling of central nervous system (CNS) metastases has the potential to guide treatments. In the present study, we included 584 patients with non-small-cell lung cancer and CNS metastases and performed a comprehensive analysis of cerebrospinal fluid (CSF) circulating tumor DNA (ctDNA) with clinicopathological annotation. CSF ctDNA-positive detection was independently associated with shorter survival than negative detection (hazard ratio (HR) = 1.9, 95% confidence interval (CI) = 1.56-2.39; P < 0.0001). Matched tumor-CSF analysis characterized the CSF private molecular features causing poor survival (HR = 1.64, 95% CI = 1.15-2.32, P = 0.006). A multimetric CSF ctDNA prognostic model integrating CSF ctDNA features and clinical factors was developed for risk-stratifying CNS metastases and validated in an independent cohort. Among patients with treatment histories available, those positive for a driver alteration by CSF ctDNA showed a survival benefit from CSF-matched therapy (HR = 0.78, 95% CI = 0.65-0.92, P = 0.003). Longitudinal monitoring by CSF identified CNS-specific resistant mechanisms and a second matched targeted therapy indicating improved survival (HR = 0.56, 95% CI = 0.35-0.91, P = 0.018). These findings support the clinical value of CSF ctDNA for risk-stratifying CNS metastases and guiding therapy.
Collapse
Affiliation(s)
- Mei-Mei Zheng
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hua-Jun Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ben-Yuan Jiang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Li-Bo Tang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Guang-Ling Jie
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Kai Yin
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hao Sun
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Si-Yang Liu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Jia-Tao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Fa-Man Xiao
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yi Pan
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Bin-Chao Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hong-Hong Yan
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Wei-Bang Guo
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Zhi-Hong Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Zhen Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Chong-Rui Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Su-Yun Li
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Si-Yang Maggie Liu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Department of Hematology, First Affiliated Hospital, Institute of Hematology, School of Medicine; Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University, Guangzhou, China
| | - Lu Zeng
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | | | | | - Dong-Qin Zhu
- Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Yang-Si Li
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
| |
Collapse
|
14
|
Chalepaki AM, Gkoris M, Chondrou I, Kourti M, Georgakopoulos-Soares I, Zaravinos A. A multi-omics analysis of effector and resting treg cells in pan-cancer. Comput Biol Med 2025; 189:110021. [PMID: 40088713 DOI: 10.1016/j.compbiomed.2025.110021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2024] [Revised: 02/09/2025] [Accepted: 03/11/2025] [Indexed: 03/17/2025]
Abstract
Regulatory T cells (Tregs) are critical for maintaining the stability of the immune system and facilitating tumor escape through various mechanisms. Resting T cells are involved in cell-mediated immunity and remain in a resting state until stimulated, while effector T cells promote immune responses. Here, we investigated the roles of two gene signatures, one for resting Tregs (FOXP3 and IL2RA) and another for effector Tregs (FOXP3, CTLA-4, CCR8 and TNFRSF9) in pan-cancer. Using data from The Cancer Genome Atlas (TCGA), The Cancer Proteome Atlas (TCPA) and Gene Expression Omnibus (GEO), we focused on the expression profile of the two signatures, the existence of single nucleotide variants (SNVs) and copy number variants (CNVs), methylation, infiltration of immune cells in the tumor and sensitivity to different drugs. Our analysis revealed that both signatures are differentially expressed across different cancer types, and correlate with patient survival. Furthermore, both types of Tregs influence important pathways in cancer development and progression, like apoptosis, epithelial-to-mesenchymal transition (EMT) and the DNA damage pathway. Moreover, a positive correlation was highlighted between the expression of gene markers in both resting and effector Tregs and immune cell infiltration in adrenocortical carcinoma, while mutations in both signatures correlated with enrichment of specific immune cells, mainly in skin melanoma and endometrial cancer. In addition, we reveal the existence of widespread CNVs and hypomethylation affecting both Treg signatures in most cancer types. Last, we identified a few correlations between the expression of CCR8 and TNFRSF9 and sensitivity to several drugs, including COL-3, Chlorambucil and GSK1070916, in pan-cancer. Overall, these findings highlight new evidence that both Treg signatures are crucial regulators of cancer progression, providing potential clinical outcomes for cancer therapy.
Collapse
Affiliation(s)
- Anna-Maria Chalepaki
- Department of Life Sciences, School of Sciences, European University Cyprus, Nicosia, Cyprus; Cancer Genetics, Genomics and Systems Biology Laboratory, Basic and Translational Cancer Research Center (BTCRC), Nicosia, Cyprus.
| | - Marios Gkoris
- Department of Life Sciences, School of Sciences, European University Cyprus, Nicosia, Cyprus; Cancer Genetics, Genomics and Systems Biology Laboratory, Basic and Translational Cancer Research Center (BTCRC), Nicosia, Cyprus.
| | - Irene Chondrou
- Department of Life Sciences, School of Sciences, European University Cyprus, Nicosia, Cyprus.
| | - Malamati Kourti
- Department of Life Sciences, School of Sciences, European University Cyprus, Nicosia, Cyprus.
| | - Ilias Georgakopoulos-Soares
- Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA.
| | - Apostolos Zaravinos
- Department of Life Sciences, School of Sciences, European University Cyprus, Nicosia, Cyprus; Cancer Genetics, Genomics and Systems Biology Laboratory, Basic and Translational Cancer Research Center (BTCRC), Nicosia, Cyprus.
| |
Collapse
|
15
|
Pich O, Bernard E, Zagorulya M, Rowan A, Pospori C, Slama R, Encabo HH, O’Sullivan J, Papazoglou D, Anastasiou P, Iliakis CS, Clark SA, Dijkstra KK, Barbè V, Bailey C, Stonestrom AJ, Enfield KS, Green M, Brierley CK, Magness A, Pearce DR, Hynds RE, Zaidi R, Rane JK, Álvarez-Prado ÁF, Thol K, Scott R, Bola SK, Hoxha E, Harris SK, Peggs KS, Quezada SA, Hackshaw A, Zaccaria S, Joyce JA, Malanchi I, Berger MF, Jamal-Hanjani M, Wack A, Downward J, Grey W, Lo Celso C, Gronroos E, Rudin CM, Mead AJ, Bonnet D, Papaemmanuil E, Swanton C. Tumor-Infiltrating Clonal Hematopoiesis. N Engl J Med 2025; 392:1594-1608. [PMID: 40267425 PMCID: PMC12021423 DOI: 10.1056/nejmoa2413361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/25/2025]
Abstract
BACKGROUND Clonal hematopoiesis of indeterminate potential (CHIP) is an age-related condition associated with increased mortality among patients with cancer. CHIP mutations with high variant-allele frequencies can be detected in tumors, a phenomenon we term tumor-infiltrating clonal hematopoiesis (TI-CH). The frequency of TI-CH and its effect on tumor evolution are unclear. METHODS We characterized CHIP and TI-CH in 421 patients with early-stage non-small-cell lung cancer (NSCLC) from the TRACERx study and in 49,351 patients from the MSK-IMPACT pan-cancer cohort. We studied the association of TI-CH with survival and disease recurrence and evaluated the functional effect of TET2-mutant CHIP on the biologic features of lung tumors. RESULTS Among patients with NSCLC, 42% of those with CHIP had TI-CH. TI-CH independently predicted an increased risk of death or recurrence, with an adjusted hazard ratio of 1.80 (95% confidence interval [CI], 1.23 to 2.63) as compared with the absence of CHIP and an adjusted hazard ratio of 1.62 (95% CI, 1.02 to 2.56) as compared with CHIP in the absence of TI-CH. Among patients with solid tumors, 26% of those with CHIP had TI-CH. TI-CH conferred a risk of death from any cause that was 1.17 times (95% CI, 1.06 to 1.29) as high as the risk with CHIP in the absence of TI-CH. TET2 mutations were the strongest genetic predictor of TI-CH; such mutations enhanced monocyte migration to lung tumor cells, fueled a myeloid-rich tumor microenvironment in mice, and resulted in the promotion of tumor organoid growth. CONCLUSIONS TI-CH increased the risk of disease recurrence or death among patients with NSCLC and the risk of death from any cause among patients with solid tumors. TI-CH remodeled the tumor immune microenvironment and accelerated tumor organoid growth, findings that support a role for an aging-related hematologic clonal proliferation in cancer evolution. (Funded by the Royal Society and others.).
Collapse
Affiliation(s)
- Oriol Pich
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Elsa Bernard
- Computational Clinical Oncology Laboratory, UMR 981, Gustave Roussy, Villejuif, France
| | - Maria Zagorulya
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Andrew Rowan
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Constandina Pospori
- Bone Marrow Dynamics, The Francis Crick Institute, London, UK
- Imperial College London, London, UK
| | - Ramy Slama
- Haematopoietic Stem Cell Biology Laboratory, Medical Research Council Weatherall Institute of Molecular Medicine, University of Oxford, Oxford
| | | | - Jennifer O’Sullivan
- Haematopoietic Stem Cell Biology Laboratory, Medical Research Council Weatherall Institute of Molecular Medicine, University of Oxford, Oxford
| | - Despoina Papazoglou
- Haematopoietic Stem Cell Laboratory, The Francis Crick Institute, London, UK
| | | | | | - Sally-Ann Clark
- Flow Cytometry Facility, Medical Research Council Weatherall Institute of Molecular Medicine, University of Oxford, Oxford
| | - Krijn K. Dijkstra
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Department of Molecular Oncology and Immunology, the Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Vittorio Barbè
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Chris Bailey
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Aaron J. Stonestrom
- Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, USA
| | - Katey S.S. Enfield
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Mary Green
- Experimental Histopathology, The Francis Crick Institute, London, UK
| | - Charlotte K. Brierley
- Haematopoietic Stem Cell Biology Laboratory, Medical Research Council Weatherall Institute of Molecular Medicine, University of Oxford, Oxford
- Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Alastair Magness
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - David R. Pearce
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- University College London Cancer Institute, London, UK
| | - Robert E. Hynds
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- University College London Cancer Institute, London, UK
| | - Rija Zaidi
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Jayant K. Rane
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- University College London Cancer Institute, London, UK
| | - Ángel F. Álvarez-Prado
- Department of Oncology, University of Lausanne, Lausanne 1011, Switzerland
- Ludwig Institute for Cancer Research, University of Lausanne 1011, Lausanne, Switzerland
- Agora Cancer Research Centre Lausanne, Lausanne 1011, Switzerland
- L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne 1011, Switzerland
| | - Kerstin Thol
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Rachel Scott
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK
| | - Supreet Kaur. Bola
- Cancer Immunology Unit, Immune Regulation and Tumour Immunotherapy Group, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Elena Hoxha
- Cancer Immunology Unit, Immune Regulation and Tumour Immunotherapy Group, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Steve K. Harris
- University College London Hospitals Biomedical Research Centre, London, UK
- Institute of Health Informatics, University College London, London, UK
| | - Karl S. Peggs
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Sergio A. Quezada
- Cancer Immunology Unit, Immune Regulation and Tumour Immunotherapy Group, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Allan Hackshaw
- Cancer Research UK & UCL Cancer Trials Centre, London, UK
| | - Simone Zaccaria
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Johanna A. Joyce
- Department of Oncology, University of Lausanne, Lausanne 1011, Switzerland
- Ludwig Institute for Cancer Research, University of Lausanne 1011, Lausanne, Switzerland
- Agora Cancer Research Centre Lausanne, Lausanne 1011, Switzerland
- L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne 1011, Switzerland
| | - Ilaria Malanchi
- Tumour-Host Interaction Laboratory, The Francis Crick Institute, London, UK
| | - Michael F. Berger
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Mariam Jamal-Hanjani
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK
- Department of Medical Oncology, University College London Hospitals, London, UK
| | - Andreas Wack
- Immunoregulation Laboratory, The Francis Crick Institute, London, UK
| | - Julian Downward
- Oncogene Biology Laboratory, The Francis Crick Institute, London UK
| | - William Grey
- Proteostem laboratory, Centre for Blood Research, York Biomedical Research Institute, Department of Biology, University of York, UK
| | - Cristina Lo Celso
- Bone Marrow Dynamics, The Francis Crick Institute, London, UK
- Imperial College London, London, UK
| | - Eva Gronroos
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Charles M. Rudin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Adam J. Mead
- Haematopoietic Stem Cell Biology Laboratory, Medical Research Council Weatherall Institute of Molecular Medicine, University of Oxford, Oxford
| | - Dominique Bonnet
- Haematopoietic Stem Cell Laboratory, The Francis Crick Institute, London, UK
| | - Elli Papaemmanuil
- Computational Oncology Service, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Charles Swanton
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Department of Medical Oncology, University College London Hospitals, London, UK
| |
Collapse
|
16
|
Naxerova K. Evolutionary paths towards metastasis. Nat Rev Cancer 2025:10.1038/s41568-025-00814-x. [PMID: 40263543 DOI: 10.1038/s41568-025-00814-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/18/2025] [Indexed: 04/24/2025]
Abstract
The evolution of metastasis in humans is considerably less well understood than the biology of early carcinogenesis. For over a century, clinicians and scientists have been debating whether metastatic potential is the intrinsic property of a cancer, pre-determined by the molecular characteristics of the tumour founder cell, or whether metastatic capacity evolves in a stepwise fashion as the tumour grows, akin to the multistage accumulation of oncogenic alterations that give rise to the first cancer cell. In this Perspective, I examine how genetic analyses of primary tumours and matched metastases can distinguish between these two competing metastasis evolution models, with particular emphasis on the utility of metastatic randomness - a quantitative measure that reflects whether metastases arise from a random selection of primary tumour subclones or whether they are enriched for descendants of privileged lineages that have acquired pro-metastatic traits. Probable metastasis evolution trajectories in tumours with high and low baseline metastatic capacity are discussed, along with the role of seeding rates and selection at different metastatic host sites. Finally, I argue that trailblazing insights into human metastasis biology are immediately possible if we make a concerted effort to apply existing experimental and theoretical tools to the right patient cohorts.
Collapse
Affiliation(s)
- Kamila Naxerova
- Department of Genetics, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
17
|
He WZ, Yang YZ, Yin CX, Xian XY, Gu JM, Yi JH, Xue J, Zhao Y, Wang F, Hu WM, Xia LP. Evolution of HER2-low expression from primary to paired metastatic gastric cancer lesions. NPJ Precis Oncol 2025; 9:108. [PMID: 40234621 PMCID: PMC12000306 DOI: 10.1038/s41698-025-00881-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2024] [Accepted: 03/15/2025] [Indexed: 04/17/2025] Open
Abstract
HER2-low expression has recently gained considerable attention as an actionable biomarker in gastric cancer. However, changes in HER2-low expression between primary and metastatic gastric cancers remain inadequately explored. This study included consecutive patients diagnosed with metastatic gastric cancer with both primary and metastatic tumors, between January 2014 and December 2023. HER2 status was evaluated in both primary and matched metastatic tumors. A total of 332 patients were enrolled, with HER2-negative, HER2-low, and HER2-positive statuses were observed in 226, 81, and 25 primary tumors, respectively, and in 175, 104, and 53 metastatic tumors, respectively. Among the 226 patients with HER2-negative primary tumors, 74 and 23 developed HER2-low and HER2-positive metastatic tumors, respectively. Conversion from HER2-negative primary to HER2-low metastatic gastric cancer was associated with metachronous and non-peritoneal metastasis. Overall, re-biopsy to evaluate HER2 status may be necessary, potentially broadening the patient population eligible for targeted HER2 therapy.
Collapse
Affiliation(s)
- Wen-Zhuo He
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, PR China
| | - Yuan-Zhong Yang
- Department of Pathology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, PR China
| | - Chen-Xi Yin
- Department of Intensive Care Unit, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, PR China
| | - Xin-Yi Xian
- Department of Pathology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, PR China
| | - Jia-Mei Gu
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, PR China
| | - Jia-Hong Yi
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, PR China
| | - Ju Xue
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, PR China
| | - Yue Zhao
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, PR China
| | - Fang Wang
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, PR China.
| | - Wan-Ming Hu
- Department of Pathology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, PR China.
| | - Liang-Ping Xia
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, PR China.
| |
Collapse
|
18
|
He WZ, Yang YZ, Yin CX, Xian XY, Gu JM, Yi JH, Xue J, Zhao Y, Wang F, Hu WM, Xia LP. Evolution of HER2-low expression from primary to paired metastatic gastric cancer lesions. NPJ Precis Oncol 2025; 9:108. [DOI: 40234621 10.1038/s41698-025-00881-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2024] [Accepted: 03/15/2025] [Indexed: 05/20/2025] Open
|
19
|
Golas MM, Gunawan B, Gutenberg A, Danner BC, Gerdes JS, Stadelmann C, Füzesi L, Liersch T, Sander B. Cytogenetic signatures favoring metastatic organotropism in colorectal cancer. Nat Commun 2025; 16:3261. [PMID: 40188208 PMCID: PMC11972295 DOI: 10.1038/s41467-025-58413-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 03/21/2025] [Indexed: 04/07/2025] Open
Abstract
Colorectal carcinoma (CRC) exhibits metastatic organotropism, primarily targeting liver, lung, and rarely the brain. Here, we study chromosomal imbalances (CIs) in cohorts of primary CRCs and metastases. Brain metastases show the highest burden of CIs, including aneuploidies and focal CIs, with enrichment of +12p encoding KRAS. Compared to liver and lung metastases, brain metastases present with increased co-occurrence of KRAS mutation and amplification. CRCs with concurrent KRAS mutation and amplification display significant metabolic reprogramming with upregulation of glycolysis, alongside upregulation of cell cycle pathways, including copy number gains of MDM2 and CDK4. Evolutionary modeling suggests early acquisition of many organotropic CIs enriched in both liver and brain metastases, while brain-enriched CIs preferentially emerge later. Collectively, this study supports a model where cytogenetic events in CRCs favor site-specific metastatic colonization. These site-enriched CI patterns may serve as biomarkers for metastatic potential in precision oncology.
Collapse
Affiliation(s)
- Mariola Monika Golas
- Human Genetics, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
- Comprehensive Cancer Center Augsburg, University Medical Center Augsburg, Augsburg, Germany.
| | - Bastian Gunawan
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany
- Institute of Pathology Northern Hesse, Kassel, Germany
| | - Angelika Gutenberg
- Department of Neurosurgery, Asklepios Hospital Harburg, Hamburg, Germany
| | - Bernhard C Danner
- Department of Cardiac, Thoracic and Vascular Surgery, University Medical Center Göttingen, Göttingen, Germany
| | - Jan S Gerdes
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany
- Epilepsy Center Hamburg, Evangelical Hospital Alsterdorf, Neurology and Epileptology, Hamburg, Germany
| | - Christine Stadelmann
- Department of Neuropathology, University Medical Center Göttingen, Göttingen, Germany
| | - Laszlo Füzesi
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany
| | - Torsten Liersch
- Department of General, Visceral and Pediatric Surgery, University Medical Center Göttingen, Göttingen, Germany
| | - Bjoern Sander
- Institute of Pathology, Hannover Medical School, Hannover, Germany.
| |
Collapse
|
20
|
Alam R, Reva A, Edwards DG, Lege BM, Munoz-Arcos LS, Reduzzi C, Singh S, Hao X, Wu YH, Tian Z, Natalee LM, Damle G, Demircioglu D, Wang Y, Wu L, Molteni E, Hasson D, Lim B, Gugala Z, Chipuk JE, Lang JE, Sparano JA, Cheng C, Cristofanilli M, Xiao H, Zhang XHF, Bado IL. Bone-Induced HER2 Promotes Secondary Metastasis in HR+/HER2- Breast Cancer. Cancer Discov 2025; 15:818-837. [PMID: 39835789 PMCID: PMC11964846 DOI: 10.1158/2159-8290.cd-23-0543] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/12/2024] [Accepted: 01/16/2025] [Indexed: 01/22/2025]
Abstract
SIGNIFICANCE Given the urgent need for alternative strategies to block metastasis progression, we demonstrate that blocking HER2-mediated secondary metastasis improves clinical outcome and establish HER2 as a biomarker for bone metastasis in patients with initial HR+/HER2- breast cancer, which represents ∼70% of all cases.
Collapse
Affiliation(s)
- Rahat Alam
- Icahn School of Medicine, Mount Sinai, New York, NY 10029, USA
- Tisch Cancer Institute, Mount Sinai, New York, NY 10029, USA
- Department of Oncological Sciences, Mount Sinai, New York, NY 10029, USA
| | - Anna Reva
- Icahn School of Medicine, Mount Sinai, New York, NY 10029, USA
- Tisch Cancer Institute, Mount Sinai, New York, NY 10029, USA
- Department of Oncological Sciences, Mount Sinai, New York, NY 10029, USA
| | - David G. Edwards
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Bree M. Lege
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Laura S. Munoz-Arcos
- Department of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY 10021, USA
| | - Carolina Reduzzi
- Department of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY 10021, USA
| | - Swarnima Singh
- Icahn School of Medicine, Mount Sinai, New York, NY 10029, USA
- Tisch Cancer Institute, Mount Sinai, New York, NY 10029, USA
- Department of Oncological Sciences, Mount Sinai, New York, NY 10029, USA
| | - Xiaoxin Hao
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yi-Hsuan Wu
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Zeru Tian
- Department of Chemistry, Rice University, 6100 Main Street, Houston, TX 77005 USA
| | - Laura M. Natalee
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Gargi Damle
- Icahn School of Medicine, Mount Sinai, New York, NY 10029, USA
- Tisch Cancer Institute, Mount Sinai, New York, NY 10029, USA
| | - Deniz Demircioglu
- Icahn School of Medicine, Mount Sinai, New York, NY 10029, USA
- Tisch Cancer Institute, Mount Sinai, New York, NY 10029, USA
| | - Yixian Wang
- Department of Chemistry, Rice University, 6100 Main Street, Houston, TX 77005 USA
| | - Ling Wu
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Elisabetta Molteni
- Department of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY 10021, USA
| | - Dan Hasson
- Icahn School of Medicine, Mount Sinai, New York, NY 10029, USA
- Tisch Cancer Institute, Mount Sinai, New York, NY 10029, USA
| | - Bora Lim
- Department of Breast Medical Oncology, Division of Cancer Medicine, MD Anderson, 1515 Holcombe Blvd, Houston, TX 77030, USA
| | - Zbigniew Gugala
- Department of Orthopedic Surgery and Rehabilitation, University of Texas Medical Branch, 301 University Boulevard, Galveston, TX 77555, USA
| | - Jerry E. Chipuk
- Icahn School of Medicine, Mount Sinai, New York, NY 10029, USA
- Tisch Cancer Institute, Mount Sinai, New York, NY 10029, USA
- Department of Oncological Sciences, Mount Sinai, New York, NY 10029, USA
| | - Julie E. Lang
- Department of Cancer Biology, Division of Breast Cancer, Lerner Research Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, USA
| | - Joseph A. Sparano
- Icahn School of Medicine, Mount Sinai, New York, NY 10029, USA
- Tisch Cancer Institute, Mount Sinai, New York, NY 10029, USA
- Department of Oncological Sciences, Mount Sinai, New York, NY 10029, USA
| | - Chonghui Cheng
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Massimo Cristofanilli
- Department of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY 10021, USA
| | - Han Xiao
- Department of Chemistry, Rice University, 6100 Main Street, Houston, TX 77005 USA
| | - Xiang H.-F. Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
- McNair Medical Institute, Baylor College of Medicine, Houston, TX 77030, USA
| | - Igor L. Bado
- Icahn School of Medicine, Mount Sinai, New York, NY 10029, USA
- Tisch Cancer Institute, Mount Sinai, New York, NY 10029, USA
- Department of Oncological Sciences, Mount Sinai, New York, NY 10029, USA
- Lead contact
| |
Collapse
|
21
|
Tagore S, Caprio L, Amin AD, Bestak K, Luthria K, D'Souza E, Barrera I, Melms JC, Wu S, Abuzaid S, Wang Y, Jakubikova V, Koch P, Brodtman DZ, Bawa B, Deshmukh SK, Ebel L, Ibarra-Arellano MA, Jaiswal A, Gurjao C, Biermann J, Shaikh N, Ramaradj P, Georgis Y, Lagos GG, Ehrlich MI, Ho P, Walsh ZH, Rogava M, Politis MG, Biswas D, Cottarelli A, Rizvi N, Shu CA, Herzberg B, Anandasabapathy N, Sledge G, Zorn E, Canoll P, Bruce JN, Rizvi NA, Taylor AM, Saqi A, Hibshoosh H, Schwartz GK, Henick BS, Chen F, Schapiro D, Shah P, Izar B. Single-cell and spatial genomic landscape of non-small cell lung cancer brain metastases. Nat Med 2025; 31:1351-1363. [PMID: 40016452 DOI: 10.1038/s41591-025-03530-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 01/19/2025] [Indexed: 03/01/2025]
Abstract
Brain metastases frequently develop in patients with non-small cell lung cancer (NSCLC) and are a common cause of cancer-related deaths, yet our understanding of the underlying human biology is limited. Here we performed multimodal single-nucleus RNA and T cell receptor, single-cell spatial and whole-genome sequencing of brain metastases and primary tumors of patients with treatment-naive NSCLC. Chromosomal instability (CIN) is a distinguishing genomic feature of brain metastases compared with primary tumors, which we validated through integrated analysis of molecular profiling and clinical data in 4,869 independent patients, and a new cohort of 12,275 patients with NSCLC. Unbiased analyses revealed transcriptional neural-like programs that strongly enriched in cancer cells from brain metastases, including a recurring, CINhigh cell subpopulation that preexists in primary tumors but strongly enriched in brain metastases, which was also recovered in matched single-cell spatial transcriptomics. Using multiplexed immunofluorescence in an independent cohort of treatment-naive pairs of primary tumors and brain metastases from the same patients with NSCLC, we validated genomic and tumor-microenvironmental findings and identified a cancer cell population characterized by neural features strongly enriched in brain metastases. This comprehensive analysis provides insights into human NSCLC brain metastasis biology and serves as an important resource for additional discovery.
Collapse
Affiliation(s)
- Somnath Tagore
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Department of Systems Biology, Program for Mathematical Genomics, Columbia University, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Lindsay Caprio
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Amit Dipak Amin
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Kresimir Bestak
- Institute for Computational Biomedicine, Faculty of Medicine, University Hospital Heidelberg and Heidelberg University, Heidelberg, Germany
| | - Karan Luthria
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Edridge D'Souza
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Irving Barrera
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Johannes C Melms
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Sharon Wu
- Caris Life Sciences, Phoenix, AZ, USA
| | - Sinan Abuzaid
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Yiping Wang
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Department of Systems Biology, Program for Mathematical Genomics, Columbia University, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Viktoria Jakubikova
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Peter Koch
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - D Zack Brodtman
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Banpreet Bawa
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | | | - Leon Ebel
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Miguel A Ibarra-Arellano
- Institute for Computational Biomedicine, Faculty of Medicine, University Hospital Heidelberg and Heidelberg University, Heidelberg, Germany
| | - Abhinav Jaiswal
- Department of Dermatology, Immunology and Microbial Pathogenesis Program, Weill Cornell Medicine, New York, NY, USA
| | - Carino Gurjao
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Department of Systems Biology, Program for Mathematical Genomics, Columbia University, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Jana Biermann
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Department of Systems Biology, Program for Mathematical Genomics, Columbia University, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Neha Shaikh
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Priyanka Ramaradj
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Yohanna Georgis
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Galina G Lagos
- Lifespan Cancer Institute, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Matthew I Ehrlich
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Patricia Ho
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Zachary H Walsh
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Meri Rogava
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Michelle Garlin Politis
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Devanik Biswas
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Azzurra Cottarelli
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Nikhil Rizvi
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Catherine A Shu
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Benjamin Herzberg
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Niroshana Anandasabapathy
- Department of Dermatology, Immunology and Microbial Pathogenesis Program, Weill Cornell Medicine, New York, NY, USA
| | | | - Emmanuel Zorn
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Peter Canoll
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Jeffrey N Bruce
- Department of Neurological Surgery, New York Presbyterian/Columbia University Irving Medical Center, New York, NY, USA
| | - Naiyer A Rizvi
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Synthekine Inc., Menlo Park, CA, USA
| | - Alison M Taylor
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Anjali Saqi
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Hanina Hibshoosh
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Gary K Schwartz
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Brian S Henick
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Fei Chen
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Denis Schapiro
- Institute for Computational Biomedicine, Faculty of Medicine, University Hospital Heidelberg and Heidelberg University, Heidelberg, Germany
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
- Translational Spatial Profiling Center (TPSC), Heidelberg, Germany
| | - Parin Shah
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Benjamin Izar
- Division of Hematology/Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA.
- Department of Systems Biology, Program for Mathematical Genomics, Columbia University, New York, NY, USA.
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA.
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA.
| |
Collapse
|
22
|
Zhang JT, Liu SY, Gao X, Liu SYM, Yan B, Huang C, Jiao Z, Yan HH, Pan Y, Dong S, Gao W, Gong Y, Tu HY, Xia XF, Zhou Q, Zhong WZ, Yang XN, Yi X, Wu YL. Follow-up Analysis Enhances Understanding of Molecular Residual Disease in Localized Non-Small Cell Lung Cancer. Clin Cancer Res 2025; 31:1305-1314. [PMID: 39853318 PMCID: PMC11959268 DOI: 10.1158/1078-0432.ccr-24-2909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2024] [Revised: 10/12/2024] [Accepted: 01/21/2025] [Indexed: 01/26/2025]
Abstract
PURPOSE The prognostic value of molecular residual disease (MRD) in non-small cell lung cancer (NSCLC) is well established, with treatment-guiding results anticipated. Here, we present updated analyses from our previously published cohort study of 261 patients with NSCLC undergoing complete resection. EXPERIMENTAL DESIGN A total of 261 patients with stage I to III lung cancer who underwent radical surgery were enrolled. Enrolled patients underwent follow-up blood draws according to the predefined time points after surgery. As of December 31, 2023, with a median follow-up of 43.4 months, 948 postoperative blood samples were collected. RESULTS Landmark and longitudinal MRD exhibited positive predictive values of 91.3% and 92.8%, respectively, with a median lead time of 5.2 months. Negative predictive values were 76.5% and 93.2%, respectively. Patients with landmark undetectable MRD could not benefit from adjuvant therapy through the updated follow-up (P = 0.529). Among the 13 patients with recurrent NSCLC and longitudinal undetectable MRD, seven (53.8%) had brain-only metastases, and four (30.8%) had no updated blood samples for over 6 months prior to recurrence. Besides, for those with longitudinal detectable MRD, higher maximum variant allele frequency (>0.55%) and ctDNA level (>13 hGE/mL) were associated with a high risk of short-term recurrence. Additionally, updated follow-up data further support that the peak time for detectable MRD was 18 months after landmark detection. CONCLUSIONS These findings suggest the significant potential of MRD in guiding personalized treatment for NSCLC. Postoperative longitudinal undetectable MRD can indicate a cured population.
Collapse
MESH Headings
- Humans
- Carcinoma, Non-Small-Cell Lung/pathology
- Carcinoma, Non-Small-Cell Lung/genetics
- Carcinoma, Non-Small-Cell Lung/blood
- Carcinoma, Non-Small-Cell Lung/therapy
- Carcinoma, Non-Small-Cell Lung/surgery
- Carcinoma, Non-Small-Cell Lung/mortality
- Neoplasm, Residual/pathology
- Neoplasm, Residual/diagnosis
- Neoplasm, Residual/genetics
- Female
- Male
- Lung Neoplasms/pathology
- Lung Neoplasms/genetics
- Lung Neoplasms/blood
- Lung Neoplasms/therapy
- Lung Neoplasms/surgery
- Middle Aged
- Follow-Up Studies
- Aged
- Prognosis
- Biomarkers, Tumor/genetics
- Biomarkers, Tumor/blood
- Adult
- Neoplasm Staging
- Neoplasm Recurrence, Local/pathology
- Neoplasm Recurrence, Local/genetics
- Aged, 80 and over
- Circulating Tumor DNA/blood
Collapse
Affiliation(s)
- Jia-Tao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Si-Yang Liu
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xuan Gao
- Geneplus-Beijing Institute, Beijing, China
| | - Si-Yang Maggie Liu
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Chinese Thoracic Oncology Group (CTONG), Guangzhou, China
| | - Bingfa Yan
- Geneplus-Beijing Institute, Beijing, China
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Chen Huang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | | | - Hong-Hong Yan
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yi Pan
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Song Dong
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Wei Gao
- Geneplus-Beijing Institute, Beijing, China
| | - Yuhua Gong
- Geneplus-Beijing Institute, Beijing, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | | | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xue-Ning Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xin Yi
- Geneplus-Beijing Institute, Beijing, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| |
Collapse
|
23
|
Laplante P, Rosa R, Nebot-Bral L, Goulas J, Pouvelle C, Nikolaev S, Silvin A, Kannouche PL. Effect of MisMatch repair deficiency on metastasis occurrence in a syngeneic mouse model. Neoplasia 2025; 62:101145. [PMID: 39985912 PMCID: PMC11905862 DOI: 10.1016/j.neo.2025.101145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2024] [Revised: 02/08/2025] [Accepted: 02/18/2025] [Indexed: 02/24/2025]
Abstract
Mismatch repair deficiency leads to high mutation rates and microsatellite instability (MSI-H), associated with immune infiltration and responsiveness to immunotherapies. In early stages, MSI-H tumors generally have a better prognosis and lower metastatic potential than microsatellite-stable (MSS) tumors, especially in colorectal cancer. However, in advanced stages, MSI-H tumors lose this survival advantage for reasons that remain unclear. We developed a syngeneic mouse model of MSI cancer by knocking out the MMR gene Msh2 in the metastatic 4T1 breast cancer cell line. This model mirrored genomic features of MSI-H cancers and showed reduction in metastatic incidence compared to their MSS counterparts. In MSI-H tumors, we observed an enrichment of immune gene-signatures that negatively correlated with metastasis incidence. A hybrid epithelial-mesenchymal signature, related to aggressiveness was detected only in metastatic MSI-H tumors. Interestingly, we identified immature myeloid cells at primary and metastatic sites in MSI-H tumor-bearing mice, suggesting that MMR deficiency elicits specific immune responses beyond T-cell activation.
Collapse
Affiliation(s)
- Pierre Laplante
- Paris-Saclay Université, CNRS-UMR9019, Equipe labellisée Ligue Contre le Cancer, Gustave Roussy, Villejuif, France
| | - Reginaldo Rosa
- Paris-Saclay Université, CNRS-UMR9019, Equipe labellisée Ligue Contre le Cancer, Gustave Roussy, Villejuif, France
| | - Laetitia Nebot-Bral
- Paris-Saclay Université, CNRS-UMR9019, Equipe labellisée Ligue Contre le Cancer, Gustave Roussy, Villejuif, France
| | - Jordane Goulas
- Paris-Saclay Université, CNRS-UMR9019, Equipe labellisée Ligue Contre le Cancer, Gustave Roussy, Villejuif, France
| | - Caroline Pouvelle
- Paris-Saclay Université, CNRS-UMR9019, Equipe labellisée Ligue Contre le Cancer, Gustave Roussy, Villejuif, France
| | - Sergey Nikolaev
- Paris-Saclay Université, Inserm-U981, Gustave Roussy, Villejuif, France
| | - Aymeric Silvin
- Paris-Saclay Université, Inserm-U1015, Gustave Roussy, Villejuif, France
| | - Patricia L Kannouche
- Paris-Saclay Université, CNRS-UMR9019, Equipe labellisée Ligue Contre le Cancer, Gustave Roussy, Villejuif, France.
| |
Collapse
|
24
|
Paragji A, Shastri V, Nasri E, Ligon JA, Elliott LA, Castillo‐Caro P, Lamba JK, Sayour EJ, Seligson ND. Revisiting CDKN2A dysregulation in Ewing sarcoma. Mol Oncol 2025; 19:994-1001. [PMID: 40080912 PMCID: PMC11977643 DOI: 10.1002/1878-0261.70008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2024] [Revised: 01/31/2025] [Accepted: 02/17/2025] [Indexed: 03/15/2025] Open
Abstract
Ewing sarcoma (EwS) is a rare and aggressive malignancy, which frequently affects children. One of the few recurrent genomic variants in EwS is genomic copy number deletion of CDKN2A; however, the clinical consequences of dysregulation of CDKN2A in EwS are unclear. In this study, we revisit CDKN2A to investigate its role as a potential prognostic biomarker in EwS using data from EwS pre-clinical models as well as clinical samples from patients with EwS. We demonstrate the potential essentiality of CDKN2A dysregulation and sustained downstream CDK4/CCND1 activity. Finally, we present evidence that high expression of CDKN2A is a negative prognostic biomarker at diagnosis in EwS in three independent datasets. Our data may suggest that the role of CDKN2A may change across the clinical context of EwS, however, further study is necessary to validate the function of CDKN2A expression in EwS.
Collapse
Affiliation(s)
- Anjali Paragji
- Department of Pharmacotherapy and Translational Research, College of PharmacyThe University of FloridaJacksonvilleFLUSA
| | - Vivek Shastri
- Department of Pharmacotherapy and Translational Research, College of PharmacyThe University of FloridaJacksonvilleFLUSA
| | - Elham Nasri
- Department of Pathology, College of MedicineThe University of FloridaGainesvilleFLUSA
| | - John A. Ligon
- Department of Pediatrics, College of MedicineThe University of FloridaGainesvilleFLUSA
| | - Leighton A. Elliott
- Department of Pediatrics, College of MedicineThe University of FloridaGainesvilleFLUSA
| | - Paul Castillo‐Caro
- Department of Pediatrics, College of MedicineThe University of FloridaGainesvilleFLUSA
| | - Jatinder K. Lamba
- Department of Pharmacotherapy and Translational Research, College of PharmacyThe University of FloridaJacksonvilleFLUSA
| | - Elias J. Sayour
- Department of Neurosurgery, College of MedicineThe University of FloridaGainesvilleFLUSA
| | - Nathan D. Seligson
- Department of Pharmacotherapy and Translational Research, College of PharmacyThe University of FloridaJacksonvilleFLUSA
- Department of Pharmacogenomics and Translational ResearchNemours Children's HealthJacksonvilleFLUSA
| |
Collapse
|
25
|
Chang MJ, Stamos DB, Urtis C, Bowers NL, Schmalz LM, Deyo LJ, Porebski MF, Jabir AR, Bunch PM, Lycan TW, Buchanan Doerfler L, Patwa HS, Waltonen JD, Sullivan CA, Browne JD, Zhang W, Porosnicu M. Mutational Profile of Blood and Tumor Tissue and Biomarkers of Response to PD-1 Inhibitors in Patients with Cutaneous Squamous Cell Carcinoma. Cancers (Basel) 2025; 17:1172. [PMID: 40227722 PMCID: PMC11987913 DOI: 10.3390/cancers17071172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2025] [Revised: 03/14/2025] [Accepted: 03/25/2025] [Indexed: 04/15/2025] Open
Abstract
BACKGROUND/OBJECTIVES Cutaneous squamous cell carcinoma (cSCC) harbors one of the most mutated genomes. There are limited data on the genomic profile and its predictive potential for response to immunotherapy with PD-1 inhibitors in cSCC. METHODS This study retrospectively reviewed cSCC patients treated with PD-1 inhibitor monotherapy at a single institution. Clinical characteristics, treatment outcomes, PD-L1 expression, tumor mutation burden (TMB), and genomic profile in tumor and blood were analyzed. Logistic regression and a support vector classifier were used to validate identified biomarkers of significance. RESULTS Twenty-five patients were evaluable for response and had genomics tested in tumor and/or blood. Of the total, 80% of patients achieved an objective response: 40% complete response (CR), 32% partial response (PR) for more than 6 months, and 8% stable disease (SD) for more than 1 year; 20% of patients progressed on treatment. With a median follow-up of 21 months, progression-free survival (PFS) was 28 months in responders vs. 3 months in non-responders (p = 0.00001). Median PD-L1 was 25% in responders vs. 10% in non-responders (p = 0.39). There was no difference in median TMB between responders and non-responders. Eight gene mutations were significantly more frequent in non-responders than in responders: CDK12 (p = 0.005), CTCF (p = 0.033), CTNNB1 (p = 0.033), IGF1R (p = 0.038), IKBKE (p = 0.016), MLH1 (0.033), QKI (p = 0.016), and TIPARP (p = 0.033). A support vector model of these genes classified responders and non-responders with an accuracy of 0.88 in the training data and 1.0 in the testing data. CONCLUSIONS PD-1 inhibitor monotherapy produces an impressive response. Eight gene mutations were significantly more frequent in non-responders. PD-L1 and TMB were inconclusive in predicting treatment response to anti-PD-L1.
Collapse
Affiliation(s)
- Mark J. Chang
- Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA; (M.J.C.); (D.B.S.); (L.J.D.); (M.F.P.); (A.R.J.); (T.W.L.J.)
| | - Daniel B. Stamos
- Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA; (M.J.C.); (D.B.S.); (L.J.D.); (M.F.P.); (A.R.J.); (T.W.L.J.)
| | - Cetin Urtis
- Center for Cancer Genomics and Precision Oncology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA; (C.U.); (L.M.S.); (W.Z.)
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC 27157, USA (H.S.P.); (J.D.W.); (C.A.S.); (J.D.B.)
| | | | - Lauren M. Schmalz
- Center for Cancer Genomics and Precision Oncology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA; (C.U.); (L.M.S.); (W.Z.)
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC 27157, USA (H.S.P.); (J.D.W.); (C.A.S.); (J.D.B.)
| | - Logan J. Deyo
- Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA; (M.J.C.); (D.B.S.); (L.J.D.); (M.F.P.); (A.R.J.); (T.W.L.J.)
| | - Martin F. Porebski
- Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA; (M.J.C.); (D.B.S.); (L.J.D.); (M.F.P.); (A.R.J.); (T.W.L.J.)
| | - Abdur Rahman Jabir
- Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA; (M.J.C.); (D.B.S.); (L.J.D.); (M.F.P.); (A.R.J.); (T.W.L.J.)
| | - Paul M. Bunch
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC 27157, USA (H.S.P.); (J.D.W.); (C.A.S.); (J.D.B.)
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Thomas W. Lycan
- Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA; (M.J.C.); (D.B.S.); (L.J.D.); (M.F.P.); (A.R.J.); (T.W.L.J.)
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC 27157, USA (H.S.P.); (J.D.W.); (C.A.S.); (J.D.B.)
| | - Laura Buchanan Doerfler
- Department of Dermatology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA;
| | - Hafiz S. Patwa
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC 27157, USA (H.S.P.); (J.D.W.); (C.A.S.); (J.D.B.)
- Department of Otolaryngology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Joshua D. Waltonen
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC 27157, USA (H.S.P.); (J.D.W.); (C.A.S.); (J.D.B.)
- Department of Otolaryngology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Christopher A. Sullivan
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC 27157, USA (H.S.P.); (J.D.W.); (C.A.S.); (J.D.B.)
- Department of Otolaryngology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - J. Dale Browne
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC 27157, USA (H.S.P.); (J.D.W.); (C.A.S.); (J.D.B.)
- Department of Otolaryngology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Wei Zhang
- Center for Cancer Genomics and Precision Oncology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA; (C.U.); (L.M.S.); (W.Z.)
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC 27157, USA (H.S.P.); (J.D.W.); (C.A.S.); (J.D.B.)
| | - Mercedes Porosnicu
- Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA; (M.J.C.); (D.B.S.); (L.J.D.); (M.F.P.); (A.R.J.); (T.W.L.J.)
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC 27157, USA (H.S.P.); (J.D.W.); (C.A.S.); (J.D.B.)
| |
Collapse
|
26
|
Braden DC, Adbel-Salam MAL, Asan A, Skoko J, Lu H, Conrads TP, Freeman BA, Schopfer FJ, Saini I, Kuper J, Kisker C, Uboveja A, Tangudu NK, Aird KM, Davis AJ, Neumann CA. Chemoproteomic analysis reveals RECQL4 as a mediator of nitroalkene-dependent double-strand break repair inhibition in cancer. RESEARCH SQUARE 2025:rs.3.rs-6141403. [PMID: 40196015 PMCID: PMC11975020 DOI: 10.21203/rs.3.rs-6141403/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2025]
Abstract
Nitroalkenes are endogenous products generated by the metabolism of unsaturated fatty acids. They are generated under oxidative stress conditions, mediating important anti-inflammatory signaling activities through covalent modification of protein cysteine thiols. Despite being cytoprotective in benign tissue, nitroalkenes display single-agent anti-proliferative activity in breast cancer cells and sensitize them to multiple DNA-damaging agents. Initial mechanistic evidence suggested that nitroalkene anti-cancer activities are partially mediated by inhibition of homologous recombination (HR) through the recombinase RAD51 at Cys319. However, nitroalkenes are multi-target agents, and thus, it is likely that other important DNA repair targets beyond RAD51 are modified by nitroalkenes, contributing to their anti-cancer effects. We, therefore, conducted a global proteomics analysis to address this question. This analysis led to the identification of the recQ helicase RECQL4 with a nitro-alkylation at Cys1052. This modification was further confirmed by click chemistry-based chemoproteomics and determined to be DNA damage-dependent. Functional analyses demonstrated that nitroalkene modification inhibits RECQL4 ATP-dependent helicase activity and disrupts DSB end resection and downstream homology-dependent repair. Furthermore, experiments with C1052S mutant RECQL4 revealed that RECQL4 is a major mediator of nitroalkene effects on end resection, DSB formation, and repair. The evidence presented here denotes RECQL4 as an important nitroalkene target conferring DSB repair inhibition and supports further evaluation of nitroalkenes as therapeutic agents in RECQL4-amplified cancers.
Collapse
Affiliation(s)
- Dennis C Braden
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, 15261, USA; Women's Cancer Research Center, University of Pittsburgh Cancer Institute, Pittsburgh, PA, 15213, USA; UPMC Hillman Cancer Center, Pittsburgh, PA, 15213, USA
| | - Mostafa A L Adbel-Salam
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, 15261, USA; Women's Cancer Research Center, University of Pittsburgh Cancer Institute, Pittsburgh, PA, 15213, USA; UPMC Hillman Cancer Center, Pittsburgh, PA, 15213, USA
| | - Alparslan Asan
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, 15261, USA; Women's Cancer Research Center, University of Pittsburgh Cancer Institute, Pittsburgh, PA, 15213, USA; UPMC Hillman Cancer Center, Pittsburgh, PA, 15213, USA
| | - John Skoko
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, 15261, USA; Women's Cancer Research Center, University of Pittsburgh Cancer Institute, Pittsburgh, PA, 15213, USA; UPMC Hillman Cancer Center, Pittsburgh, PA, 15213, USA
| | - Huiming Lu
- Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX75390, USA
| | - Thomas P Conrads
- Gynecologic Cancer Center of Excellence, Department of Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Walter Reed National Military Medical Center, Bethesda, MD 20889, USA; Women's Health Integrated Research Center, Women's Service Line, Inova Health System, Annandale, VA 22003, United States; Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences, Walter Reed National Military Medical Center, Bethesda, MD 20889, USA
| | - Bruce A Freeman
- Department of Pharmacology and Chemical Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Pittsburgh Heart, Lung, Blood, and Vascular Medicine Institute (VMI), University of Pittsburgh, Pittsburgh, PA, USA; Pittsburgh Liver Research Center (PLRC), University of Pittsburgh, Pittsburgh, PA, USA; Center for Metabolism and Mitochondrial Medicine (C3M) University of Pittsburgh, Pittsburgh, PA, USA
| | - Francisco J Schopfer
- Department of Pharmacology and Chemical Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Pittsburgh Heart, Lung, Blood, and Vascular Medicine Institute (VMI), University of Pittsburgh, Pittsburgh, PA, USA; Pittsburgh Liver Research Center (PLRC), University of Pittsburgh, Pittsburgh, PA, USA; Center for Metabolism and Mitochondrial Medicine (C3M) University of Pittsburgh, Pittsburgh, PA, USA
| | - Ishu Saini
- Rudolf-Virchow-Zentrum-Center for Integrative and Translational Bioimaging Institute for Structural Biology, University of Würzburg, Würzburg, Germany
| | - Jochen Kuper
- Rudolf-Virchow-Zentrum-Center for Integrative and Translational Bioimaging Institute for Structural Biology, University of Würzburg, Würzburg, Germany
| | - Caroline Kisker
- Rudolf-Virchow-Zentrum-Center for Integrative and Translational Bioimaging Institute for Structural Biology, University of Würzburg, Würzburg, Germany
| | - Apoorva Uboveja
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, 15261, USA; Women's Cancer Research Center, University of Pittsburgh Cancer Institute, Pittsburgh, PA, 15213, USA; UPMC Hillman Cancer Center, Pittsburgh, PA, 15213, USA
| | - Naveen K Tangudu
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, 15261, USA; Women's Cancer Research Center, University of Pittsburgh Cancer Institute, Pittsburgh, PA, 15213, USA; UPMC Hillman Cancer Center, Pittsburgh, PA, 15213, USA
| | - Katherine M Aird
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, 15261, USA; Women's Cancer Research Center, University of Pittsburgh Cancer Institute, Pittsburgh, PA, 15213, USA; UPMC Hillman Cancer Center, Pittsburgh, PA, 15213, USA
| | - Anthony J Davis
- Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX75390, USA
| | - Carola A Neumann
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, 15261, USA; Women's Cancer Research Center, University of Pittsburgh Cancer Institute, Pittsburgh, PA, 15213, USA; UPMC Hillman Cancer Center, Pittsburgh, PA, 15213, USA
| |
Collapse
|
27
|
Vogler M, Braun Y, Smith VM, Westhoff MA, Pereira RS, Pieper NM, Anders M, Callens M, Vervliet T, Abbas M, Macip S, Schmid R, Bultynck G, Dyer MJ. The BCL2 family: from apoptosis mechanisms to new advances in targeted therapy. Signal Transduct Target Ther 2025; 10:91. [PMID: 40113751 PMCID: PMC11926181 DOI: 10.1038/s41392-025-02176-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2024] [Revised: 12/21/2024] [Accepted: 02/10/2025] [Indexed: 03/22/2025] Open
Abstract
The B cell lymphoma 2 (BCL2) protein family critically controls apoptosis by regulating the release of cytochrome c from mitochondria. In this cutting-edge review, we summarize the basic biology regulating the BCL2 family including canonical and non-canonical functions, and highlight milestones from basic research to clinical applications in cancer and other pathophysiological conditions. We review laboratory and clinical development of BH3-mimetics as well as more recent approaches including proteolysis targeting chimeras (PROTACs), antibody-drug conjugates (ADCs) and tools targeting the BH4 domain of BCL2. The first BCL2-selective BH3-mimetic, venetoclax, showed remarkable efficacy with manageable toxicities and has transformed the treatment of several hematologic malignancies. Following its success, several chemically similar BCL2 inhibitors such as sonrotoclax and lisaftoclax are currently under clinical evaluation, alone and in combination. Genetic analysis highlights the importance of BCL-XL and MCL1 across different cancer types and the possible utility of BH3-mimetics targeting these proteins. However, the development of BH3-mimetics targeting BCL-XL or MCL1 has been more challenging, with on-target toxicities including thrombocytopenia for BCL-XL and cardiac toxicities for MCL1 inhibitors precluding clinical development. Tumor-specific BCL-XL or MCL1 inhibition may be achieved by novel targeting approaches using PROTACs or selective drug delivery strategies and would be transformational in many subtypes of malignancy. Taken together, we envision that the targeting of BCL2 proteins, while already a success story of translational research, may in the foreseeable future have broader clinical applicability and improve the treatment of multiple diseases.
Collapse
Affiliation(s)
- Meike Vogler
- Goethe University Frankfurt, Institute for Experimental Pediatric Hematology and Oncology, Frankfurt am Main, Germany.
- German Cancer Consortium (DKTK) partner site Frankfurt/Mainz, a partnership between DKFZ and University Hospital Frankfurt, Frankfurt am Main, Germany.
- University Cancer Center Frankfurt (UCT), University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany.
| | - Yannick Braun
- Goethe University Frankfurt, Institute for Experimental Pediatric Hematology and Oncology, Frankfurt am Main, Germany
- Department of Pediatric Surgery, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Victoria M Smith
- The Ernest and Helen Scott Haematological Research Institute, Leicester Cancer Research Centre, University of Leicester, Leicester, UK
| | - Mike-Andrew Westhoff
- Department of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany
| | - Raquel S Pereira
- Goethe University Frankfurt, Institute for Experimental Pediatric Hematology and Oncology, Frankfurt am Main, Germany
| | - Nadja M Pieper
- Goethe University Frankfurt, Institute for Experimental Pediatric Hematology and Oncology, Frankfurt am Main, Germany
| | - Marius Anders
- Goethe University Frankfurt, Institute for Experimental Pediatric Hematology and Oncology, Frankfurt am Main, Germany
| | - Manon Callens
- KU Leuven, Lab. Molecular & Cellular Signaling, Dep. Cellular & Molecular Medicine, and Leuven Kankerinstituut (LKI), Leuven, Belgium
| | - Tim Vervliet
- KU Leuven, Lab. Molecular & Cellular Signaling, Dep. Cellular & Molecular Medicine, and Leuven Kankerinstituut (LKI), Leuven, Belgium
| | - Maha Abbas
- Mechanisms of Cancer and Ageing Laboratory, Department of Molecular and Cell Biology, University of Leicester, Leicester, UK
| | - Salvador Macip
- The Ernest and Helen Scott Haematological Research Institute, Leicester Cancer Research Centre, University of Leicester, Leicester, UK
- Mechanisms of Cancer and Ageing Laboratory, Department of Molecular and Cell Biology, University of Leicester, Leicester, UK
- Josep Carreras Leukaemia Research Institute, Badalona, Spain
- FoodLab, Faculty of Health Sciences, Universitat Oberta de Catalunya, Barcelona, Spain
| | - Ralf Schmid
- Department of Molecular and Cell Biology, University of Leicester, Leicester, UK
- Institute for Structural and Chemical Biology, University of Leicester, Leicester, UK
| | - Geert Bultynck
- KU Leuven, Lab. Molecular & Cellular Signaling, Dep. Cellular & Molecular Medicine, and Leuven Kankerinstituut (LKI), Leuven, Belgium
| | - Martin Js Dyer
- The Ernest and Helen Scott Haematological Research Institute, Leicester Cancer Research Centre, University of Leicester, Leicester, UK
| |
Collapse
|
28
|
Vis DJ, Palit SAL, Corradi M, Cuppen E, Mehra N, Lolkema MP, Wessels LFA, van der Heijden MS, Zwart W, Bergman AM. Whole genome sequencing of 378 prostate cancer metastases reveals tissue selectivity for mismatch deficiency with potential therapeutic implications. Genome Med 2025; 17:24. [PMID: 40114169 PMCID: PMC11927350 DOI: 10.1186/s13073-025-01445-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 02/17/2025] [Indexed: 03/22/2025] Open
Abstract
BACKGROUND Survival of patients with metastatic castration-resistant prostate cancer (mCRPC) depends on the site of metastatic dissemination. METHODS Patients with mCRPC were prospectively included in the CPCT-02 metastatic site biopsy study. We evaluated whole genome sequencing (WGS) of 378 mCRPC metastases to understand the genetic traits that affect metastatic site distribution. RESULTS Our findings revealed that RB1, PIK3CA, JAK1, RNF43, and TP53 mutations are the most frequent genetic determinants associated with site selectivity for metastatic outgrowth. Furthermore, we explored mutations in the non-coding genome and found that androgen receptor (AR) chromatin binding sites implicated in metastatic prostate cancer differ in mutation frequencies between metastatic sites, converging on pathways that impact DNA repair. Notably, liver and visceral metastases have a higher tumor mutational load (TML) than bone and lymph node metastases, independent of genetic traits associated with neuroendocrine differentiation. We found that TML is strongly associated with DNA mismatch repair (MMR)-deficiency features in these organs. CONCLUSIONS Our results revealed gene mutations that are significantly associated with metastatic site selectivity and that frequencies of non-coding mutations at AR chromatin binding sites differ between metastatic sites. Immunotherapeutics are thus far unsuccessful in unselected mCRPC patients. We found a higher TML in liver and visceral metastases compared to bone and lymph node metastases. As immunotherapeutics response is associated with mutational burden, these findings may assist in selecting mCRPC patients for immunotherapy treatment based on organs affected by metastatic disease. TRIAL REGISTRATION NUMBER NCT01855477.
Collapse
Affiliation(s)
- Daniel J Vis
- Division of Molecular Carcinogenesis, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Division of Computational Cancer Biology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Sander A L Palit
- Division of Molecular Carcinogenesis, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Marie Corradi
- Division of Molecular Carcinogenesis, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Edwin Cuppen
- Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
- Hartwig Medical Foundation, Amsterdam, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Niven Mehra
- Department of Medical Oncology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Martijn P Lolkema
- Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Lodewyk F A Wessels
- Division of Computational Cancer Biology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Michiel S van der Heijden
- Division of Molecular Carcinogenesis, Netherlands Cancer Institute, Amsterdam, The Netherlands.
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Wilbert Zwart
- Oncode Institute, Utrecht, The Netherlands.
- Division of Oncogenomics, Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Andries M Bergman
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
- Division of Oncogenomics, Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands.
| |
Collapse
|
29
|
Luo X, Zhang X, Su D, Li H, Zou M, Xiong Y, Yang L. Deep Clustering-Based Metabolic Stratification of Non-Small Cell Lung Cancer Patients Through Integration of Somatic Mutation Profile and Network Propagation Algorithm. Interdiscip Sci 2025:10.1007/s12539-025-00699-2. [PMID: 40100545 DOI: 10.1007/s12539-025-00699-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Revised: 02/21/2025] [Accepted: 02/22/2025] [Indexed: 03/20/2025]
Abstract
As a common malignancy of the lower respiratory tract, non-small cell lung cancer (NSCLC) represents a major oncological challenge globally, characterized by high incidence and mortality rates. Recent research highlights the critical involvement of somatic mutations in the onset and development of NSCLC. Stratification of NSCLC patients based on somatic mutation data could facilitate the identification of patients likely to respond to personalized therapeutic strategies. However, stratification of NSCLC patients using somatic mutation data is challenging due to the sparseness of this data. In this study, based on sparse somatic mutation data from 4581 NSCLC patients from the Memorial Sloan Kettering Cancer Center (MSKCC) database, we systematically evaluate the metabolic pathway activity in NSCLC patients through the application of network propagation algorithm and computational biology algorithms. Based on these metabolic pathways associated with prognosis, as recognized through univariate Cox regression analysis, NSCLC patients are stratified using the deep clustering algorithm to explore the optimal classification strategy, thereby establishing biologically meaningful metabolic subtypes of NSCLC patients. The precise NSCLC metabolic subtypes obtained from the network propagation algorithm and deep clustering algorithm are systematically evaluated and validated for survival benefits of immunotherapy. Our research marks progress towards developing a universal approach for classifying NSCLC patients based solely on somatic mutation profiles, employing deep clustering algorithm. The implementation of our research will help to deepen the analysis of NSCLC patients' metabolic subtypes from the perspective of tumor microenvironment, providing a strong basis for the formulation of more precise personalized treatment plans.
Collapse
Affiliation(s)
- Xu Luo
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Xinpeng Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Dongqing Su
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Honghao Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Min Zou
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Yuqiang Xiong
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Lei Yang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
| |
Collapse
|
30
|
Devenport JM, Tran T, Harris BR, Fingerman D, DeWeerd RA, Elkhidir LH, LaVigne D, Fuh K, Sun L, Bednarski JJ, Drapkin R, Mullen MM, Green AM. APOBEC3A drives ovarian cancer metastasis by altering epithelial-mesenchymal transition. JCI Insight 2025; 10:e186409. [PMID: 40059825 PMCID: PMC11949045 DOI: 10.1172/jci.insight.186409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Accepted: 01/22/2025] [Indexed: 03/19/2025] Open
Abstract
High-grade serous ovarian cancer (HGSOC) is the most prevalent and aggressive histological subtype of ovarian cancer and often presents with metastatic disease. The drivers of metastasis in HGSOC remain enigmatic. APOBEC3A (A3A), an enzyme that generates mutations across various cancers, has been proposed as a mediator of tumor heterogeneity and disease progression. However, the role of A3A in HGSOC has not been explored. We observed an association between high levels of APOBEC3-mediated mutagenesis and poor overall survival in primary HGSOC. We experimentally addressed this correlation by modeling A3A expression in HGSOC, and this resulted in increased metastatic behavior of HGSOC cells in culture and distant metastatic spread in vivo, which was dependent on catalytic activity of A3A. A3A activity in both primary and cultured HGSOC cells yielded consistent alterations in expression of epithelial-mesenchymal transition (EMT) genes resulting in hybrid EMT and mesenchymal signatures, providing a mechanism for their increased metastatic potential. Inhibition of key EMT factors TWIST1 and IL-6 resulted in mitigation of A3A-dependent metastatic phenotypes. Our findings define the prevalence of A3A mutagenesis in HGSOC and implicate A3A as a driver of HGSOC metastasis via EMT, underscoring its clinical relevance as a potential prognostic biomarker. Our study lays the groundwork for the development of targeted therapies aimed at mitigating the deleterious effect of A3A-driven EMT in HGSOC.
Collapse
Affiliation(s)
| | | | | | - Dylan Fingerman
- Department of Pediatrics
- Cancer Biology Graduate Program, and
| | | | | | - Danielle LaVigne
- Department of Pediatrics
- Molecular Genetics and Genomics Graduate Program, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Katherine Fuh
- Department of Obstetrics, Gynecology, and Reproductive Sciences, UCSF, San Francisco, California, USA
| | - Lulu Sun
- Division of Anatomic and Molecular Pathology, Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
| | | | - Ronny Drapkin
- Penn Ovarian Cancer Research Center, Department of Obstetrics and Gynecology, and
- Basser Center for BRCA, Abramson Cancer Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Mary M. Mullen
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Siteman Cancer Center, and
| | - Abby M. Green
- Department of Pediatrics
- Center for Genome Integrity, Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, USA
| |
Collapse
|
31
|
Nguyen LTT, Thompson EK, Bhimani N, Duong MC, Nguyen HG, Bullock M, Gild ML, Glover A. Prognostic Significance of Key Molecular Markers in Thyroid Cancer: A Systematic Literature Review and Meta-Analysis. Cancers (Basel) 2025; 17:939. [PMID: 40149275 PMCID: PMC11940365 DOI: 10.3390/cancers17060939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2025] [Revised: 02/28/2025] [Accepted: 03/06/2025] [Indexed: 03/29/2025] Open
Abstract
Background: Thyroid cancer (TC) involves diverse genetic alterations, with their prognostic significance often debated. Objectives: This study evaluates the impact of BRAF, TERT promoter, TP53, and PI3K pathway mutations detected via Next-Generation Sequencing (NGS) on overall survival (OS) and disease-free survival (DFS) in follicular-derived TC patients. Methods: A comprehensive search was conducted in MEDLINE, Scopus, and EMBASE databases from 2013 to 2023 for studies using NGS on TC patients. Hazard ratios (HR) and 95% confidence intervals (CI) for OS and DFS were extracted from original studies or estimated from Kaplan-Meier curves (KMC). A random-effects model, weighted by inverse variance, was used to calculate pooled HRs. Publication bias was assessed using Egger's regression test and visual funnel plot analysis. Results: Of the 3921 initial studies, nine studies involving 1075 patients were included in the meta-analysis. BRAF mutations showed no significant effect on OS (HR = 1.11, 95% CI: 0.66-1.88) or DFS (HR = 1.23, 95% CI: 0.66-2.29). In contrast, TERT promoter mutations were strongly associated with worse OS (HR = 1.90, 95% CI: 1.17-3.09) and DFS (HR = 2.76, 95% CI: 1.86-4.10). TP53 and PI3K pathway mutations were linked to shorter OS (HR = 2.87, 95% CI: 1.44-5.86 and HR = 2.17, 95% CI: 1.05-4.15, respectively), though their impact on DFS remains unclear due to limited data. Conclusions: These findings highlight TERT promoter mutations as strong prognostic markers for both OS and DFS, while TP53 and PI3K mutations indicate higher mortality risk.
Collapse
Affiliation(s)
- Linh T. T. Nguyen
- Kolling Institute, Northern Sydney Local Health District and Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2050, Australia; (L.T.T.N.); (M.B.); (M.L.G.)
- Department of Endocrinology, The 108 Military Central Hospital, Hanoi 100000, Vietnam
| | - Emma K. Thompson
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, St. Vincent’s Clinical School, Faculty of Medicine, University of New South Wales, Darlinghurst, NSW 2010, Australia; (E.K.T.); (N.B.)
| | - Nazim Bhimani
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, St. Vincent’s Clinical School, Faculty of Medicine, University of New South Wales, Darlinghurst, NSW 2010, Australia; (E.K.T.); (N.B.)
- Specialty of Surgery, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2050, Australia
| | - Minh C. Duong
- School of Population Health, University of New South Wales, Sydney, NSW 2033, Australia;
| | - Huy G. Nguyen
- School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia;
| | - Martyn Bullock
- Kolling Institute, Northern Sydney Local Health District and Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2050, Australia; (L.T.T.N.); (M.B.); (M.L.G.)
| | - Matti L. Gild
- Kolling Institute, Northern Sydney Local Health District and Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2050, Australia; (L.T.T.N.); (M.B.); (M.L.G.)
- Department of Endocrinology, Royal North Shore Hospital, Northern Sydney Local Health District, Sydney, NSW 2065, Australia
| | - Anthony Glover
- Kolling Institute, Northern Sydney Local Health District and Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2050, Australia; (L.T.T.N.); (M.B.); (M.L.G.)
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, St. Vincent’s Clinical School, Faculty of Medicine, University of New South Wales, Darlinghurst, NSW 2010, Australia; (E.K.T.); (N.B.)
- Specialty of Surgery, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2050, Australia
| |
Collapse
|
32
|
Xu X, Gan J, Gao Z, Li R, Huang D, Lin L, Luo Y, Yang Q, Xu J, Li Y, Fang Q, Peng T, Wang Y, Xu Z, Huang A, Hong H, Lei F, Huang W, Leng J, Li T, Bo X, Chen H, Li C, Gu J. 3D genome landscape of primary and metastatic colorectal carcinoma reveals the regulatory mechanism of tumorigenic and metastatic gene expression. Commun Biol 2025; 8:365. [PMID: 40038385 PMCID: PMC11880527 DOI: 10.1038/s42003-025-07647-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Accepted: 01/31/2025] [Indexed: 03/06/2025] Open
Abstract
Colorectal carcinoma (CRC) is a deadly cancer with an aggressive nature, and how CRC tumor cells manage to translocate and proliferate in a new tissue environment remains not fully understood. Recently, higher-order chromatin structures and spatial genome organization are increasingly implicated in diseases including cancer, but in-depth studies of three-dimensional genome (3D genome) of metastatic cancer are currently lacking, preventing the understanding of the roles of genome organization during metastasis. Here we perform multi-omics profiling of matched normal colon, primary tumor, lymph node metastasis, liver metastasis and normal liver tissue from CRC patients using Hi-C, ATAC-seq and RNA-seq technologies. We find that widespread alteration of 3D chromatin structure is accompanied by dysregulation of genes including SPP1 during the tumorigenesis or metastasis of CRC. Remarkably, the hierarchy of topological associating domain (TAD) changes dynamically, which challenges the traditional view that the TAD structure between tumor and normal tissue is conservative. In addition, we define compartment stability score to measure large-scale alteration in metastatic tumors. To integrate multi-omics data and recognize candidate genes driving cancer metastasis, a pipeline is developed based on Hi-C, RNA-seq and ATAC-seq data. And three candidate genes ARL4C, FLNA, and RGCC are validated to be associated with CRC cell migration and invasion using in vitro knockout experiments. Overall, these data resources and results offer new insights into the involvement of 3D genome in cancer metastasis.
Collapse
Affiliation(s)
- Xiang Xu
- Department of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing, China
- Academy of Military Medical Sciences, Beijing, China
| | - Jingbo Gan
- Center for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China
| | - Zhaoya Gao
- Department of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing, China
- Center for Precision Diagnosis and Treatment of Colorectal Carcinoma and Inflammatory Diseases, Peking University Health Science Center, Beijing, China
| | - Ruifeng Li
- Center for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China
| | - Dandan Huang
- Center for Precision Diagnosis and Treatment of Colorectal Carcinoma and Inflammatory Diseases, Peking University Health Science Center, Beijing, China
- Department of Oncology, Peking University Shougang Hospital, Beijing, China
| | - Lin Lin
- Academy of Military Medical Sciences, Beijing, China
| | - Yawen Luo
- Academy of Military Medical Sciences, Beijing, China
| | - Qian Yang
- Academy of Military Medical Sciences, Beijing, China
| | - Jingxuan Xu
- Department of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing, China
| | - Yaru Li
- Academy of Military Medical Sciences, Beijing, China
| | - Qing Fang
- Center for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China
| | - Ting Peng
- Center for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China
| | - Yaqi Wang
- Center for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China
| | - Zihan Xu
- Center for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China
| | - An Huang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery, Peking University Cancer Hospital & Institute, Beijing, China
| | - Haopeng Hong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery, Peking University Cancer Hospital & Institute, Beijing, China
| | - Fuming Lei
- Department of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing, China
- Center for Precision Diagnosis and Treatment of Colorectal Carcinoma and Inflammatory Diseases, Peking University Health Science Center, Beijing, China
| | - Wensheng Huang
- Department of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing, China
- Center for Precision Diagnosis and Treatment of Colorectal Carcinoma and Inflammatory Diseases, Peking University Health Science Center, Beijing, China
| | - Jianjun Leng
- Center for Precision Diagnosis and Treatment of Colorectal Carcinoma and Inflammatory Diseases, Peking University Health Science Center, Beijing, China
- Department of Hepatopancreatobiliary Surgery, Peking University Shougang Hospital, Beijing, China
| | - Tingting Li
- Center for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China
- State Key Laboratory of Proteomics, Institute of Basic Medical Sciences, National Center of Biomedical Analysis, Beijing, China
| | - Xiaochen Bo
- Academy of Military Medical Sciences, Beijing, China
| | - Hebing Chen
- Academy of Military Medical Sciences, Beijing, China.
| | - Cheng Li
- Center for Bioinformatics, School of Life Sciences, Center for Statistical Science, Peking University, Beijing, China.
| | - Jin Gu
- Department of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing, China.
- Center for Precision Diagnosis and Treatment of Colorectal Carcinoma and Inflammatory Diseases, Peking University Health Science Center, Beijing, China.
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery, Peking University Cancer Hospital & Institute, Beijing, China.
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
- Peking University International Cancer Institute, Beijing, China.
| |
Collapse
|
33
|
Fernandez-Cuesta L, Alcala N, Mathian E, Derks J, Thirlwell C, Dayton T, Marinoni I, Perren A, Walter T, Foll M. Basic science and translational implications of current knowledge on neuroendocrine tumors. J Clin Invest 2025; 135:e186702. [PMID: 40026252 PMCID: PMC11870734 DOI: 10.1172/jci186702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2025] Open
Abstract
Neuroendocrine tumors (NETs) are a diverse group of malignancies that can occur in various organs, with a notable prevalence in the lungs and gastrointestinal tract, which are the focus of this Review. Although NETs are rare in individual organs, their incidence has increased over recent decades, highlighting the urgent need for current classification systems to evolve by incorporating recent advances in the understanding of NET biology. Several omics studies have revealed molecular subtypes, which, when integrated into existing classification frameworks, may provide more clinically relevant insights for patients with NETs. This Review examines recent progress in elucidating the biology of NETs, with a particular emphasis on the tumor microenvironment and cells of origin. The existence of different cells of origin, which may contribute to distinct molecular groups, along with profiles of immune infiltration - despite being generally low - could explain the emergence of more aggressive cases and the potential for metastatic progression. Given the molecular heterogeneity of NETs and the diversity of their microenvironments and different cells of origin, there is an urgent need to develop morphomolecular classification systems. Such systems would make it possible to better characterize tumor progression, identify new therapeutic targets, and, ultimately, guide the development of personalized therapies.
Collapse
Affiliation(s)
- Lynnette Fernandez-Cuesta
- Computational Cancer Genomics Team, Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Nicolas Alcala
- Computational Cancer Genomics Team, Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Emilie Mathian
- Computational Cancer Genomics Team, Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Jules Derks
- Department of Pulmonary Medicine, Erasmus MC Cancer institute, University Medical Center, Rotterdam, Netherlands
- GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, Netherlands
| | | | - Talya Dayton
- European Molecular Biology Laboratory Barcelona, Tissue Biology and Disease Modeling, Barcelona, Spain
| | - Ilaria Marinoni
- Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland
| | - Aurel Perren
- Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland
| | - Thomas Walter
- Service d’Oncologie Médicale, Groupement Hospitalier Centre, Institut de Cancérologie des Hospices Civils de Lyon, Lyon, France
| | - Matthieu Foll
- Computational Cancer Genomics Team, Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| |
Collapse
|
34
|
Luo M, Yang J, Schäffer AA, Chen C, Liu Y, Chen Y, Lin C, Diao L, Zang Y, Lou Y, Salman H, Mills GB, Ruppin E, Han L. Ancestral Differences in Anticancer Treatment Efficacy and Their Underlying Genomic and Molecular Alterations. Cancer Discov 2025; 15:511-529. [PMID: 39601595 PMCID: PMC11875934 DOI: 10.1158/2159-8290.cd-24-0827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Revised: 09/12/2024] [Accepted: 11/25/2024] [Indexed: 11/29/2024]
Abstract
SIGNIFICANCE Our study charts a global landscape of ancestry-associated differences in therapeutic efficacy, highlighting the importance of considering ancestry in anticancer therapies.
Collapse
Affiliation(s)
- Mei Luo
- Brown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
- Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Jingwen Yang
- Brown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
- Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Alejandro A. Schäffer
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, 20892, USA
| | - Chengxuan Chen
- Brown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
- Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Yuan Liu
- Brown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
- Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Yamei Chen
- Brown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
- Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Chunru Lin
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Lixia Diao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yong Zang
- Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Yanyan Lou
- Division of Hematology and Oncology, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Huda Salman
- Brown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
- Division of Hematology-Oncology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Gordon B. Mills
- Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97239, USA
| | - Eytan Ruppin
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, 20892, USA
| | - Leng Han
- Brown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
- Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| |
Collapse
|
35
|
Trelford CB, Shepherd TG. Insights into targeting LKB1 in tumorigenesis. Genes Dis 2025; 12:101402. [PMID: 39735555 PMCID: PMC11681833 DOI: 10.1016/j.gendis.2024.101402] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 06/03/2024] [Accepted: 06/22/2024] [Indexed: 12/31/2024] Open
Abstract
Genetic alterations to serine-threonine kinase 11 (STK11) have been implicated in Peutz-Jeghers syndrome and tumorigenesis. Further exploration of the context-specific roles of liver kinase B1 (LKB1; encoded by STK11) observed that it regulates AMP-activated protein kinase (AMPK) and AMPK-related kinases. Given that both migration and proliferation are enhanced with the loss of LKB1 activity combined with the prevalence of STK11 genetic alterations in cancer biopsies, LKB1 was marked as a tumor suppressor. However, the role of LKB1 in tumorigenesis is paradoxical as LKB1 activates autophagy and reactive oxygen species scavenging while dampening anoikis, which contribute to cancer cell survival. Due to the pro-tumorigenic properties of LKB1, targeting LKB1 pathways is now relevant for cancer treatment. With the recent successes of targeting LKB1 signaling in research and clinical settings, and enhanced cytotoxicity of chemical compounds in LKB1-deficient tumors, there is now a need for LKB1 inhibitors. However, validating LKB1 inhibitors is challenging as LKB1 adaptor proteins, nucleocytoplasmic shuttling, and splice variants all manipulate LKB1 activity. Furthermore, STE-20-related kinase adaptor protein (STRAD) and mouse protein 25 dictate LKB1 cellular localization and kinase activity. For these reasons, prior to assessing the efficacy and potency of pharmacological candidates, the functional status of LKB1 needs to be defined. Therefore, to improve the understanding of LKB1 in physiology and oncology, this review highlights the role of LKB1 in tumorigenesis and addresses the therapeutic relevancy of LKB1 inhibitors.
Collapse
Affiliation(s)
- Charles B. Trelford
- The Mary & John Knight Translational Ovarian Cancer Research Unit, London Regional Cancer Program, London, ON N6A 4L6, Canada
- Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 3K7, Canada
| | - Trevor G. Shepherd
- The Mary & John Knight Translational Ovarian Cancer Research Unit, London Regional Cancer Program, London, ON N6A 4L6, Canada
- Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 3K7, Canada
- Department of Oncology, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 3K7, Canada
- Department of Obstetrics and Gynaecology, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 3K7, Canada
| |
Collapse
|
36
|
Suzuki H, Akamatsu S, Shiota M, Kakiuchi H, Kimura T. Triplet therapy for metastatic castration-sensitive prostate cancer: Rationale and clinical evidence. Int J Urol 2025; 32:239-250. [PMID: 39651632 PMCID: PMC11923528 DOI: 10.1111/iju.15647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2024] [Accepted: 11/21/2024] [Indexed: 12/11/2024]
Abstract
Prostate cancer (PC) growth is hormone-dependent and it frequently develops distant metastases as disease progresses. Patients with metastatic castration-sensitive prostate cancer (mCSPC) initially respond to androgen deprivation therapy (ADT) but eventually become refractory and develop metastatic castration-resistant prostate cancer (mCRPC). Castration-resistance is associated with high lethality and metastases confer poor prognosis, therefore unmet needs in treatment for mCSPC remain high. So far, improvements in survival in mCSPC have been achieved by doublet combination therapy such as docetaxel or an androgen-receptor signaling inhibitor (ARSI) in addition to ADT. Further, recent phase 3 trials have shown that triplet therapy-a combination of ARSI, docetaxel, and ADT improves prognosis compared with docetaxel plus ADT in mCSPC. PC tumors manifest intra- and inter-tumoral heterogeneity at both the genetic and phenotypic level. As heterogeneity increases during sequential treatment and disease progression, it is reasonable to initiate combination therapy using drugs with different mechanisms of action early in the course of disease, such as mCSPC. Previous research about tumor heterogeneity and drug resistant mechanism support this rationale, as well as preclinical studies and real-world data provide the scientific evidence of benefit by combining ARSI and docetaxel. Here, we review the rationale and clinical evidence for triplet therapy in patients with mCSPC.
Collapse
Affiliation(s)
- Hiroyoshi Suzuki
- Department of UrologyToho University Sakura Medical CenterChibaJapan
| | | | | | - Haruka Kakiuchi
- Oncology Medical Affairs, Medical Affairs and PharmacovigilanceBayer Yakuhin Ltd.OsakaJapan
| | - Takahiro Kimura
- Department of UrologyThe Jikei University School of MedicineTokyoJapan
| |
Collapse
|
37
|
Tang L, Peng S, Zhuang X, He Y, Song Y, Nie H, Zheng C, Pan Z, Lam AK, He M, Shi X, Li B, Xu WW. Tumor Metastasis: Mechanistic Insights and Therapeutic Intervention. MEDCOMM – ONCOLOGY 2025; 4. [DOI: 10.1002/mog2.70012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2024] [Accepted: 01/10/2025] [Indexed: 03/04/2025]
Abstract
ABSTRACTMetastasis remains a leading cause of cancer‐related deaths, defined by a complex, multi‐step process in which tumor cells spread and form secondary growths in distant tissues. Despite substantial progress in understanding metastasis, the molecular mechanisms driving this process and the development of effective therapies remain incompletely understood. Elucidating the molecular pathways governing metastasis is essential for the discovery of innovative therapeutic targets. The rapid advancements in sequencing technologies and the expansion of biological databases have significantly deepened our understanding of the molecular drivers of metastasis and associated drug resistance. This review focuses on the molecular drivers of metastasis, particularly the roles of genetic mutations, epigenetic changes, and post‐translational modifications in metastasis progression. We also examine how the tumor microenvironment influences metastatic behavior and explore emerging therapeutic strategies, including targeted therapies and immunotherapies. Finally, we discuss future research directions, stressing the importance of novel treatment approaches and personalized strategies to overcome metastasis and improve patient outcomes. By integrating contemporary insights into the molecular basis of metastasis and therapeutic innovation, this review provides a comprehensive framework to guide future research and clinical advancements in metastatic cancer.
Collapse
Affiliation(s)
- Lin Tang
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, The Affiliated Traditional Chinese Medicine Hospital Guangzhou Medical University Guangzhou China
| | - Shao‐Cong Peng
- State Key Laboratory of Respiratory Disease, Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes The Fifth Affiliated Hospital of Guangzhou Medical University Guangzhou China
| | - Xiao‐Wan Zhuang
- State Key Laboratory of Respiratory Disease, Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes The Fifth Affiliated Hospital of Guangzhou Medical University Guangzhou China
| | - Yan He
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, The Affiliated Traditional Chinese Medicine Hospital Guangzhou Medical University Guangzhou China
| | - Yu‐Xiang Song
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, The Affiliated Traditional Chinese Medicine Hospital Guangzhou Medical University Guangzhou China
| | - Hao Nie
- Department of Radiation Oncology, The Fifth Affiliated Hospital Guangzhou Medical University Guangzhou China
| | - Can‐Can Zheng
- State Key Laboratory of Respiratory Disease, Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes The Fifth Affiliated Hospital of Guangzhou Medical University Guangzhou China
| | - Zhen‐Yu Pan
- Department of Radiation Oncology, The Affiliated Huizhou Hospital Guangzhou Medical University Huizhou China
| | - Alfred King‐Yin Lam
- Cancer Molecular Pathology and Griffith Medical School Griffith University Gold Coast Queensland Australia
| | - Ming‐Liang He
- Department of Biomedical Sciences City University of Hong Kong Hong Kong China
| | - Xing‐Yuan Shi
- Department of Radiation Oncology, The Fifth Affiliated Hospital Guangzhou Medical University Guangzhou China
| | - Bin Li
- State Key Laboratory of Respiratory Disease, Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes The Fifth Affiliated Hospital of Guangzhou Medical University Guangzhou China
| | - Wen Wen Xu
- State Key Laboratory of Respiratory Disease, Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, The Affiliated Traditional Chinese Medicine Hospital Guangzhou Medical University Guangzhou China
| |
Collapse
|
38
|
Shiota M, Matsubara N, Kato T, Eto M, Osawa T, Abe T, Shinohara N, Nishimoto K, Yasumizu Y, Tanaka N, Oya M, Fujisawa T, Horasawa S, Nakamura Y, Yoshino T, Nonomura N. Genomic characterization of metastatic patterns in prostate cancer using circulating tumor DNA data from the SCRUM-Japan MONSTAR SCREEN project. THE JOURNAL OF LIQUID BIOPSY 2025; 7:100282. [PMID: 40027233 PMCID: PMC11863810 DOI: 10.1016/j.jlb.2024.100282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/07/2024] [Revised: 12/10/2024] [Accepted: 12/11/2024] [Indexed: 03/05/2025]
Abstract
Purpose Genomic characterization of the predisposition of tumors to metastasize to specific sites has been performed in a few studies using mainly tissue-derived genomes. This nationwide prospective observational study investigated the association between genomic characteristics using circulating tumor DNA (ctDNA), and the synchronous and metachronous metastasis of tumors to specific target organs in advanced prostate cancer. Methods Patients with advanced prostate cancer undergoing systemic treatment were included. ctDNA was analyzed using the FoundationOne®Liquid CDx assay at enrollment. Associations between genomic characteristics and metastatic status were examined. Results Alterations in the genes MYC, APC, and BRCA2 and the DNA repair, MYC, and WNT pathways were associated with lung and liver metastasis. PTEN gene alterations and PI3K pathway alteration were associated with synchronous lung metastasis. RB1 gene alteration and RAS/RAF/MAPK pathway alteration were associated with synchronous liver metastasis. RB1 and BRCA2 gene alterations predicted metachronous lung metastasis, while TP53 and MYC gene alterations predicted metachronous liver metastasis. Conclusions This study identifies genomic alterations in ctDNA associated with synchronous and metachronous metastases. These findings may be clinically helpful for treating, managing, and monitoring cancer.
Collapse
Affiliation(s)
- Masaki Shiota
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Nobuaki Matsubara
- Department of Medical Oncology, National Cancer Center Hospital East, Japan
| | - Taigo Kato
- Department of Urology, Osaka University Graduate School of Medicine, Japan
| | - Masatoshi Eto
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Takahiro Osawa
- Department of Urology, Graduate School of Medicine Hokkaido University, Japan
| | - Takashige Abe
- Department of Urology, Graduate School of Medicine Hokkaido University, Japan
| | - Nobuo Shinohara
- Department of Urology, Graduate School of Medicine Hokkaido University, Japan
| | - Koshiro Nishimoto
- Department of Uro-Oncology, Saitama Medical University International Medical Center, Japan
| | - Yota Yasumizu
- Department of Urology, Keio University School of Medicine, Japan
| | - Nobuyuki Tanaka
- Department of Urology, Keio University School of Medicine, Japan
| | - Mototsugu Oya
- Department of Urology, Keio University School of Medicine, Japan
| | - Takao Fujisawa
- Department of Head and Neck Medical Oncology, National Cancer Center Hospital East, Japan
| | - Satoshi Horasawa
- Translational Research Support Office, National Cancer Center Hospital East, Japan
| | - Yoshiaki Nakamura
- Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Japan
| | - Takayuki Yoshino
- Department of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Japan
| | - Norio Nonomura
- Department of Urology, Osaka University Graduate School of Medicine, Japan
| |
Collapse
|
39
|
Xu W, Xu J, Liu J, Wang N, Zhou L, Guo J. Liver Metastasis in Cancer: Molecular Mechanisms and Management. MedComm (Beijing) 2025; 6:e70119. [PMID: 40027151 PMCID: PMC11868442 DOI: 10.1002/mco2.70119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2024] [Revised: 01/15/2025] [Accepted: 01/20/2025] [Indexed: 03/05/2025] Open
Abstract
Liver metastasis is a leading cause of mortality from malignant tumors and significantly impairs the efficacy of therapeutic interventions. In recent years, both preclinical and clinical research have made significant progress in understanding the molecular mechanisms and therapeutic strategies of liver metastasis. Metastatic tumor cells from different primary sites undergo highly similar biological processes, ultimately achieving ectopic colonization and growth in the liver. In this review, we begin by introducing the inherent metastatic-friendly features of the liver. We then explore the panorama of liver metastasis and conclude the three continuous, yet distinct phases based on the liver's response to metastasis. This includes metastatic sensing stage, metastatic stress stage, and metastasis support stage. We discuss the intricate interactions between metastatic tumor cells and various resident and recruited cells. In addition, we emphasize the critical role of spatial remodeling of immune cells in liver metastasis. Finally, we review the recent advancements and the challenges faced in the clinical management of liver metastasis. Future precise antimetastatic treatments should fully consider individual heterogeneity and implement different targeted interventions based on stages of liver metastasis.
Collapse
Affiliation(s)
- Wenchao Xu
- Department of General SurgeryPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Key Laboratory of Research in Pancreatic TumorChinese Academy of Medical SciencesBeijingChina
- National Infrastructures for Translational MedicinePeking Union Medical College HospitalBeijingChina
- State Key Laboratory of ComplexSevere, and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Jia Xu
- State Key Laboratory of Fine ChemicalsDepartment of Pharmaceutical SciencesSchool of Chemical EngineeringDalian University of TechnologyDalianChina
| | - Jianzhou Liu
- Department of General SurgeryPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Key Laboratory of Research in Pancreatic TumorChinese Academy of Medical SciencesBeijingChina
- National Infrastructures for Translational MedicinePeking Union Medical College HospitalBeijingChina
- State Key Laboratory of ComplexSevere, and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Nanzhou Wang
- Department of Colorectal SurgeryState Key Laboratory of Oncology in South ChinaSun Yat‐sen University Cancer CenterGuangdong Provincial Clinical Research Center for CancerGuangzhouChina
| | - Li Zhou
- Department of General SurgeryPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Key Laboratory of Research in Pancreatic TumorChinese Academy of Medical SciencesBeijingChina
- National Infrastructures for Translational MedicinePeking Union Medical College HospitalBeijingChina
- State Key Laboratory of ComplexSevere, and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Junchao Guo
- Department of General SurgeryPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Key Laboratory of Research in Pancreatic TumorChinese Academy of Medical SciencesBeijingChina
- National Infrastructures for Translational MedicinePeking Union Medical College HospitalBeijingChina
- State Key Laboratory of ComplexSevere, and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| |
Collapse
|
40
|
Savy T, Flanders L, Karpanasamy T, Sun M, Gerlinger M. Cancer evolution: from Darwin to the Extended Evolutionary Synthesis. Trends Cancer 2025; 11:204-215. [PMID: 39880745 DOI: 10.1016/j.trecan.2025.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2024] [Revised: 12/24/2024] [Accepted: 01/03/2025] [Indexed: 01/31/2025]
Abstract
The fundamental evolutionary nature of cancer has been recognized for decades. Increasingly powerful genetic and single cell sequencing technologies, as well as preclinical models, continue to unravel the evolution of premalignant cells, and progression to metastatic stages and to drug-resistant end-stage disease. Here, we summarize recent advances and distil evolutionary principles and their relevance for the clinic. We reveal how cancer cell and microenvironmental plasticity are intertwined with Darwinian evolution and demonstrate the need for a conceptual framework that integrates these processes. This warrants the adoption of the recently developed Extended Evolutionary Synthesis (EES).
Collapse
Affiliation(s)
- Thomas Savy
- Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Lucy Flanders
- Barts Cancer Institute, Queen Mary University of London, London, UK; St Bartholomew's Hospital, London, London, UK
| | | | - Min Sun
- St Bartholomew's Hospital, London, London, UK
| | - Marco Gerlinger
- Barts Cancer Institute, Queen Mary University of London, London, UK; St Bartholomew's Hospital, London, London, UK.
| |
Collapse
|
41
|
Dunbar KJ, Efe G, Cunningham K, Esquea E, Navaridas R, Rustgi AK. Regulation of metastatic organotropism. Trends Cancer 2025; 11:216-231. [PMID: 39732596 PMCID: PMC11903188 DOI: 10.1016/j.trecan.2024.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2024] [Revised: 11/26/2024] [Accepted: 11/29/2024] [Indexed: 12/30/2024]
Abstract
Metastasis is responsible for most cancer-related deaths. Different cancers have their own preferential sites of metastases, a phenomenon termed metastatic organotropism. The mechanisms underlying organotropism are multifactorial and include the generation of a pre-metastatic niche (PMN), metastatic homing, colonization, dormancy, and metastatic outgrowth. Historically, studies of metastatic organotropism have been limited by a lack of models allowing direct comparison of cells exhibiting different patterns of tropism. However, new innovative models and large-scale sequencing efforts have propelled organotropism research. Herein, we summarize the recent discoveries in metastatic organotropism regulation, focusing on lung, liver, brain, and bone tropism. We discuss how emerging technologies are continuing to improve our ability to model and, hopefully, predict and treat organotropism.
Collapse
Affiliation(s)
- Karen J Dunbar
- Herbert Irving Comprehensive Cancer Center, New York, NY, 10032, USA.
| | - Gizem Efe
- Herbert Irving Comprehensive Cancer Center, New York, NY, 10032, USA; Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, 10032, USA
| | - Katherine Cunningham
- Herbert Irving Comprehensive Cancer Center, New York, NY, 10032, USA; Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, 10032, USA
| | - Emily Esquea
- Herbert Irving Comprehensive Cancer Center, New York, NY, 10032, USA; Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, 10032, USA
| | - Raul Navaridas
- Herbert Irving Comprehensive Cancer Center, New York, NY, 10032, USA; Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, 10032, USA
| | - Anil K Rustgi
- Herbert Irving Comprehensive Cancer Center, New York, NY, 10032, USA; Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, 10032, USA; Division of Digestive and Liver Diseases, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10032, USA.
| |
Collapse
|
42
|
Powell AM, Watson L, Luzietti L, Prekovic S, Young LS, Varešlija D. The epigenetic landscape of brain metastasis. Oncogene 2025:10.1038/s41388-025-03315-1. [PMID: 40016470 DOI: 10.1038/s41388-025-03315-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2024] [Revised: 01/16/2025] [Accepted: 02/17/2025] [Indexed: 03/01/2025]
Abstract
Brain metastasis represents a significant challenge in oncology, driven by complex molecular and epigenetic mechanisms that distinguish it from primary tumors. While recent research has focused on identifying genomic mutation drivers with potential clinical utility, these strategies have not pinpointed specific genetic mutations responsible for site-specific metastasis to the brain. It is now clear that successful brain colonization by metastatic cancer cells requires intricate interactions with the brain tumor ecosystem and the acquisition of specialized molecular traits that facilitate their adaptation to this highly selective environment. This is best exemplified by widespread transcriptional adaptation during brain metastasis, resulting in aberrant gene programs that promote extravasation, seeding, and colonization of the brain. Increasing evidence suggests that epigenetic mechanisms play a significant role in shaping these pro-brain metastasis traits. This review explores dysregulated chromatin patterns driven by chromatin remodeling, histone modifications, DNA/RNA methylation, and other epigenetic regulators that underpin brain metastatic seeding, initiation, and outgrowth. We provide novel insights into how these epigenetic modifications arise within both the brain metastatic tumor and the surrounding brain metastatic tumor ecosystem. Finally, we discuss how the inherent plasticity and reversibility of the epigenomic landscape in brain metastases may offer new therapeutic opportunities.
Collapse
Affiliation(s)
- Aoibhín M Powell
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Louise Watson
- Department of Surgery, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Lara Luzietti
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Stefan Prekovic
- Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Leonie S Young
- Department of Surgery, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
- Beaumont RCSI Cancer Centre, Beaumont Hospital, Dublin, Ireland.
| | - Damir Varešlija
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
- Beaumont RCSI Cancer Centre, Beaumont Hospital, Dublin, Ireland.
| |
Collapse
|
43
|
Yin D, Lu X, Liang X, Lu Y, Xiong L, Wu P, Wang T, Chen J. STK11 genetic alterations in metastatic EGFR mutant lung cancer. Sci Rep 2025; 15:5729. [PMID: 39962098 PMCID: PMC11832735 DOI: 10.1038/s41598-024-74779-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2024] [Accepted: 09/30/2024] [Indexed: 02/20/2025] Open
Abstract
This study was conducted to investigate the relationship between STK11 genetic alterations and the outcomes of patients with metastatic EGFR mutant lung cancer. Clinical characteristics and genomic data were downloaded from the cBioPortal database. The information of the case with STK11 mutation was collected from Jiangyin People's Hospital. Univariate and multivariate analyses were performed to distinguish the prognostic differences. Outcomes were analyzed before and after propensity score matching (PSM). A patient with STK11 mutation was insensitive to osimertinib and had an extremely poor prognosis. Further analysis showed that STK11 mutations had a strong mutual exclusion with EGFR mutations. A total of 960 patients with metastatic EGFR mutant lung adenocarcinoma were enrolled in the prognostic analysis. STK11 alternation was a significant predictor of worse outcomes in univariate or multivariate analyses. After PSM, patients with STK11 alternations still exhibited poor prognoses. Cell culture experiments also showed that the loss of STK11 could contribute to the resistance of osimertinib. Functionally, STK11 mutation was positively associated with metabolic signaling pathways and immune infiltrates negatively. Through drug screening, trametinib was identified to sensitize osimertinib in the STK11-deficient cell. This study found that STK11 genetic alterations portend a worse prognosis for patients with metastatic EGFR mutant lung cancer and led to osimertinib resistance potentially. MEK inhibitors could sensitize osimertinib in the STK11-deficient cell.
Collapse
Affiliation(s)
- Dandan Yin
- The Second Hospital of Nanjing, Clinical Teaching Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China
- Clinical Research Center, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, 210003, Jiangsu, People's Republic of China
| | - Xiyi Lu
- Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China
| | - Xiao Liang
- Department of Oncology, The Affiliated Jiangyin Hospital of Nantong University, Wuxi, Jiangsu, People's Republic of China
| | - Yiting Lu
- Department of Radiology, The Affiliated Jiangyin Hospital of Nantong University, Wuxi, Jiangsu, People's Republic of China
| | - Lei Xiong
- Department of Cardiothoracic Surgery, Jinling Hospital, Jinling Clinical Medical School, Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China.
| | - Pingping Wu
- Department of Oncology, Jiangsu Cancer Hospital, The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Institue of Cancer Research, Nanjing, Jiangsu, People's Republic of China.
| | - Tingting Wang
- The State Key Laboratory of Pharmaceutical Biotechnology, Division of Immunology, Medical School, Nanjing University, Nanjing, People's Republic of China.
- Medical School, Nanjing University, Nanjing, People's Republic of China.
| | - Jinfei Chen
- Medical School, Nanjing University, Nanjing, People's Republic of China.
- Department of Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
| |
Collapse
|
44
|
Fischer GM, Lamba N, Vogelzang J, Aizer A, Ligon KL. Genomic Profiling Reveals SMARCA4 Mutations Are Associated with Shorter Overall and Intracranial Progression-Free Survival in Patients with Melanoma Brain Metastases. Clin Cancer Res 2025; 31:719-732. [PMID: 39786469 DOI: 10.1158/1078-0432.ccr-24-0301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 07/12/2024] [Accepted: 12/20/2024] [Indexed: 01/12/2025]
Abstract
PURPOSE Melanoma brain metastases (MBM) are a common and lethal complication of metastatic melanoma. Despite improvements in treatments, subsets of patients with MBM experience rapid clinical decline, and currently, few prognostic biomarkers have been identified. An improved understanding of the molecular features specifically associated with MBM overall survival (OS) and intracranial progression-free survival (PFS) could facilitate the development of more effective clinical management strategies. EXPERIMENTAL DESIGN We established an initial cohort of 102 MBMs, 970 unmatched melanoma extracranial metastases (ECM), and 569 unmatched melanoma primaries with available targeted exome sequencing data covering 182 genes and a validation cohort of 50 MBMs with SMARCA4 genomically profiled. Kaplan-Meier analysis, log-rank test, and Cox proportional hazards model were used to evaluate associations between pathogenic genomic alterations and OS and intracranial PFS. We evaluated 14 MBMs and 19 ECMs with paired RNA sequencing and whole-exome sequencing data to identify genotype-transcriptome correlations. RESULTS Of 43 genes significantly mutated among MBMs, only pathogenic mutations in SMARCA4 significantly associated with shorter OS and intracranial PFS on univariable and multivariable analyses in patients with MBM but not from first ECM or primary tumor diagnosis. SMARCA4 mutations significantly associated with enrichment of oxidative phosphorylation and depletion of immune signaling gene sets. CONCLUSIONS Pathogenic SMARCA4 mutations independently predict an association with shorter OS and intracranial PFS in patients with MBM and associate with expression of pathways known to mediate melanoma virulence. These findings add to our understanding of MBM pathogenesis and suggest their potential use as prognostic biomarkers in patients with MBM and possible therapeutic opportunities.
Collapse
Affiliation(s)
- Grant M Fischer
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Nayan Lamba
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jayne Vogelzang
- Department of Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Ayal Aizer
- Department of Radiation Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Keith L Ligon
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts
| |
Collapse
|
45
|
Mullen KM, Hong J, Attiyeh MA, Hayashi A, Sakamoto H, Kohutek ZA, McIntyre CA, Zhang H, Makohon-Moore AP, Zucker A, Wood LD, Myers MA, Arnold BJ, Zaccaria S, Chou JF, Capanu M, Socci ND, Raphael BJ, Iacobuzio-Donahue CA. The Evolutionary Forest of Pancreatic Cancer. Cancer Discov 2025; 15:329-345. [PMID: 39378050 PMCID: PMC11803399 DOI: 10.1158/2159-8290.cd-23-1541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 08/06/2024] [Accepted: 10/04/2024] [Indexed: 02/08/2025]
Abstract
SIGNIFICANCE Although the pancreatic cancer genome has been described, it has not been explored with respect to stages of diagnosis or treatment bottlenecks. We now describe and quantify the genomic features of PDAC in the context of evolutionary metrics and in doing so have identified a novel prognostic biomarker.
Collapse
Affiliation(s)
- Katelyn M. Mullen
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jungeui Hong
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marc A. Attiyeh
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Akimasa Hayashi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Hitomi Sakamoto
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Zachary A. Kohutek
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Caitlin A. McIntyre
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Haochen Zhang
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Amanda Zucker
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Laura D. Wood
- Division of Gastrointestinal Pathology, Department of Pathology, Johns Hopkins Hospital, Baltimore, Maryland
| | - Matthew A. Myers
- Department of Computer Science, Princeton University, Princeton, New Jersey
| | - Brian J. Arnold
- Department of Computer Science, Princeton University, Princeton, New Jersey
| | - Simone Zaccaria
- Department of Computer Science, Princeton University, Princeton, New Jersey
| | - Joanne F. Chou
- Biostatistics and Epidemiology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marinela Capanu
- Biostatistics and Epidemiology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Nicholas D. Socci
- Bioinformatics Core, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Christine A. Iacobuzio-Donahue
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
- The David M. Rubenstein Center for Pancreatic Cancer Research, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| |
Collapse
|
46
|
Kravchuk D, Lebedeva A, Kuznetsova O, Kavun A, Taraskina A, Belova E, Grigoreva T, Veselovsky E, Mileyko V, Nikulin V, Nekrasova L, Tryakin A, Fedyanin M, Ivanov M. Dynamics of blood microsatellite instability (bMSI) burden predicts outcome of a patient treated with immune checkpoint inhibitors: a case report of hyperprogressive disease. Front Immunol 2025; 16:1492296. [PMID: 39975556 PMCID: PMC11836019 DOI: 10.3389/fimmu.2025.1492296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Accepted: 01/16/2025] [Indexed: 02/21/2025] Open
Abstract
Microsatellite instability (MSI) is a widely studied molecular signature, which is associated with long-term benefit in patients treated with immune checkpoint inhibitor therapy. This approach has been proven to be effective in the treatment of patients with MSI-positive colorectal cancer (CRC). Analysis of serial liquid biopsy samples allows to detect changes in the tumor in response to therapy. Typically, somatic mutations are used for tracing the dynamics of the tumor, and the assessment of DNA signatures such as MSI is not currently used for these purposes. Here, we describe a case of a MSI-positive CRC, who received nivolumab monotherapy. Sequential sampling of the patient's plasma demonstrated an increase in MSI burden (bMSI), which was found to correlate with the increase of driver mutation burden one month after starting nivolumab, and hyperprogressive disease. Thus, analysis of bMSI in liquid biopsy via NGS may be a promising method for timely assessment of the treatment effectiveness received by patients with MSI-positive CRC.
Collapse
Affiliation(s)
- Daria Kravchuk
- Moscow Multidisciplinary Clinical Center “Kommunarka” of the Department of Health of the City of Moscow, State Budgetary Institution of Healthcare, Moscow, Russia
| | - Alexandra Lebedeva
- R&D Department, OncoAtlas LLC, Moscow, Russia
- Institute for Personalized Oncology, Sechenov First Moscow State Medical University, Moscow, Russia
| | - Olesya Kuznetsova
- R&D Department, OncoAtlas LLC, Moscow, Russia
- N.N. Blokhin Russian Cancer Research Center, Moscow, Russia
| | | | | | - Ekaterina Belova
- R&D Department, OncoAtlas LLC, Moscow, Russia
- Institute for Personalized Oncology, Sechenov First Moscow State Medical University, Moscow, Russia
- Faculty of Physics, Lomonosov Moscow State University, Moscow, Russia
| | - Tatiana Grigoreva
- R&D Department, OncoAtlas LLC, Moscow, Russia
- Institute for Personalized Oncology, Sechenov First Moscow State Medical University, Moscow, Russia
| | | | - Vladislav Mileyko
- R&D Department, OncoAtlas LLC, Moscow, Russia
- Institute for Personalized Oncology, Sechenov First Moscow State Medical University, Moscow, Russia
| | | | - Lidia Nekrasova
- P. Hertsen Moscow Oncology Research Institute (MORI), Moscow, Russia
| | - Alexey Tryakin
- N.N. Blokhin Russian Cancer Research Center, Moscow, Russia
| | - Mikhail Fedyanin
- Moscow Multidisciplinary Clinical Center “Kommunarka” of the Department of Health of the City of Moscow, State Budgetary Institution of Healthcare, Moscow, Russia
- N.N. Blokhin Russian Cancer Research Center, Moscow, Russia
- Federal State Budgetary Institution “National Medical and Surgical Center named after N.I. Pirogov” of the Ministry of Health of the Russian Federation, Moscow, Russia
| | - Maxim Ivanov
- R&D Department, OncoAtlas LLC, Moscow, Russia
- Institute for Personalized Oncology, Sechenov First Moscow State Medical University, Moscow, Russia
| |
Collapse
|
47
|
Lin A, Xue F, Pan C, Li L. Integrative prognostic modeling of ovarian cancer: incorporating genetic, clinical, and immunological markers. Discov Oncol 2025; 16:115. [PMID: 39900707 PMCID: PMC11790546 DOI: 10.1007/s12672-025-01819-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2024] [Accepted: 01/15/2025] [Indexed: 02/05/2025] Open
Abstract
Ovarian cancer has a high mortality rate, primarily due to late diagnosis and complex pathogenesis. This study develops an integrative prognostic model combining genetic, clinical, and immunological data to predict outcomes in ovarian cancer patients. Utilizing data from The Cancer Genome Atlas (TCGA), we identified significant prognostic genes through differential expression and survival analysis, integrating these with clinical features and immune landscape assessments including immune cell infiltration and checkpoint expression. The risk score effectively predicted patient survival, distinguishing between high and low-risk groups with significant outcome differences. High-risk patients demonstrated poor prognosis, greater immune checkpoint expression, and higher tumor mutational burdens (TMB), suggesting potential responsiveness to immunotherapy. The model's predictive capacity was validated across multiple cohorts, showing consistent performance in survival prediction and treatment response. Calibration curves and decision curve analysis confirmed the model's clinical utility. This study highlights the potential of an integrated approach to enhance personalized treatment strategies in ovarian cancer, aiming to improve patient management and outcomes.
Collapse
Affiliation(s)
- Aidi Lin
- Wenzhou Central Hospital, Wenzhou, China
| | - Feifei Xue
- Wenzhou Central Hospital, Wenzhou, China
| | | | - Lijiao Li
- Wenzhou Central Hospital, Wenzhou, China.
| |
Collapse
|
48
|
Hebert JD, Tang YJ, Szamecz M, Andrejka L, Lopez SS, Petrov DA, Boross G, Winslow MM. Combinatorial In Vivo Genome Editing Identifies Widespread Epistasis and an Accessible Fitness Landscape During Lung Tumorigenesis. Mol Biol Evol 2025; 42:msaf023. [PMID: 39907430 PMCID: PMC11824425 DOI: 10.1093/molbev/msaf023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 11/15/2024] [Accepted: 01/15/2025] [Indexed: 02/06/2025] Open
Abstract
Lung adenocarcinoma, the most common subtype of lung cancer, is genomically complex, with tumors containing tens to hundreds of non-synonymous mutations. However, little is understood about how genes interact with each other to enable the evolution of cancer in vivo, largely due to a lack of methods for investigating genetic interactions in a high-throughput and quantitative manner. Here, we employed a novel platform to generate tumors with inactivation of pairs of ten diverse tumor suppressor genes within an autochthonous mouse model of oncogenic KRAS-driven lung cancer. By quantifying the fitness of tumors with every single and double mutant genotype, we show that most tumor suppressor genetic interactions exhibited negative epistasis, with diminishing returns on tumor fitness. In contrast, Apc inactivation showed positive epistasis with the inactivation of several other genes, including synergistic effects on tumor fitness in combination with Lkb1 or Nf1 inactivation. Sign epistasis was extremely rare, suggesting a surprisingly accessible fitness landscape during lung tumorigenesis. These findings expand our understanding of the interactions that drive tumorigenesis in vivo.
Collapse
Affiliation(s)
- Jess D Hebert
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Yuning J Tang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Márton Szamecz
- Faculty of Informatics, Eötvös Loránd University, Budapest, Hungary
- National Laboratory for Health Security, Centre for Eco-Epidemiology, Budapest, Hungary
- Institute of Evolution, HUN-REN Centre for Ecological Research, Budapest, Hungary
| | - Laura Andrejka
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Steven S Lopez
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Dmitri A Petrov
- Department of Biology, Stanford University, Stanford, CA, USA
- Cancer Biology Program, Stanford University School of Medicine, Stanford, CA, USA
| | - Gábor Boross
- National Laboratory for Health Security, Centre for Eco-Epidemiology, Budapest, Hungary
- Institute of Evolution, HUN-REN Centre for Ecological Research, Budapest, Hungary
| | - Monte M Winslow
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Cancer Biology Program, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| |
Collapse
|
49
|
Koyyalagunta D, Ganesh K, Morris Q. Inferring cancer type-specific patterns of metastatic spread using Metient. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2024.07.09.602790. [PMID: 39282311 PMCID: PMC11398359 DOI: 10.1101/2024.07.09.602790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 09/22/2024]
Abstract
Cancers differ in how they establish metastases. These differences can be studied by reconstructing the metastatic spread of a cancer from sequencing data of multiple tumors. Current methods to do so are limited by computational scalability and rely on technical assumptions that do not reflect current clinical knowledge. Metient overcomes these limitations using gradient-based, multi-objective optimization to generate multiple hypotheses of metastatic spread and rescores these hypotheses using independent data on genetic distance and organotropism. Unlike current methods, Metient can be used with both clinical sequencing data and barcode-based lineage tracing in preclinical models, enhancing its translatability across systems. In a reanalysis of metastasis in 169 patients and 490 tumors, Metient automatically identifies cancer type-specific trends of metastatic dissemination in melanoma, high-risk neuroblastoma, and non-small cell lung cancer. Its reconstructions often align with expert analyses but frequently reveal more plausible migration histories, including those with more metastasis-to-metastasis seeding and higher polyclonal seeding, offering new avenues for targeting metastatic cells. Metient's findings challenge existing assumptions about metastatic spread, enhance our understanding of cancer type-specific metastasis, and offer insights that inform future clinical treatment strategies of metastasis.
Collapse
Affiliation(s)
- Divya Koyyalagunta
- Tri-Institutional Graduate Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY 10065, USA
- Computational and Systems Biology Program, Sloan Kettering Institute, New York, NY 10065, USA
| | - Karuna Ganesh
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Quaid Morris
- Tri-Institutional Graduate Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY 10065, USA
- Computational and Systems Biology Program, Sloan Kettering Institute, New York, NY 10065, USA
| |
Collapse
|
50
|
Kaneda H, Daga H, Okada A, Nakatani Y, Tani Y, Oka T, Sawa K, Sakai K, Nishio K, Kawaguchi T. Efficacy of ramucirumab combined with erlotinib or osimertinib in untreated EGFR-mutated NSCLC patients with asymptomatic brain metastases: insights from molecular biomarkers in the RELAY-brain trial. Invest New Drugs 2025; 43:147-156. [PMID: 39847172 DOI: 10.1007/s10637-025-01505-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2024] [Accepted: 01/07/2025] [Indexed: 01/24/2025]
Abstract
BACKGROUND The RELAY-Brain trial examined the clinical utility and survival impacts of ramucirumab (RAM) combined with epidermal growth factor receptor (EGFR)-TKI in patients with EGFR-mutated non-small-cell lung cancer (NSCLC) with brain metastases. Although RAM combined with erlotinib (ERL) is known to have clinical benefits, the benefits in patients with baseline brain metastases remain unclear. This report examined the long-term follow-up data (Japan Registry of Clinical Trials: jRCTs2051190027) of the same patients, analyzing relevant biomarkers from tumor and plasma samples. PATIENTS AND METHODS The six patients enrolled in the RELAY-Brain trial received RAM plus ERL or osimertinib (OSM). Our long-term follow-up observational study assessed patient survival, treatment status, and genetic biomarkers. Tumor and plasma samples were analyzed at baseline, during treatment, and at disease progression using next-generation sequencing and droplet digital PCR, to identify gene alterations and EGFR-TKI-resistant mutations. RESULTS After median follow-up of 44.2 months, the first site of disease progression in three of the patients was the brain metastases. In the RAM + ERL group, two patients with the T790M mutation subsequently received OSM. Progression-free survival (PFS) and overall survival ranged from 10.46 to 42.07 months and from 30.14 to 52.25 months, respectively. Gene alterations included TP53 mutations in three patients and ERBB2 and PIK3CA mutations in two. TP53 mutations were associated with shorter PFS. CONCLUSION RAM with ERL or OSM achieved significant clinical benefits for patients with EGFR-mutated NSCLC with asymptomatic brain metastases. These positive outcomes and the identification of related biomarkers support the therapeutic potential of these combinations.
Collapse
Affiliation(s)
- Hiroyasu Kaneda
- Department of Clinical Oncology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
| | - Haruko Daga
- Department of Medical Oncology, Osaka City General Hospital, Osaka, Japan
| | - Asuka Okada
- Department of Medical Oncology, Osaka City General Hospital, Osaka, Japan
| | - Yuki Nakatani
- Department of Medical Oncology, Osaka City General Hospital, Osaka, Japan
| | - Yoko Tani
- Department of Clinical Oncology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
| | - Takako Oka
- Department of Clinical Oncology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
| | - Kenji Sawa
- Department of Clinical Oncology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
| | - Kazuko Sakai
- Department of Genome Biology, Faculty of Medicine, Kindai University, Osaka, Japan
| | - Kazuto Nishio
- Department of Genome Biology, Faculty of Medicine, Kindai University, Osaka, Japan
| | - Tomoya Kawaguchi
- Department of Clinical Oncology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
| |
Collapse
|