Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide, with rising incidence and mortality. Early-stage HCC is often asymptomatic, and the lack of reliable early diagnostic markers leads to late-stage diagnosis with limited treatment options. Current treatment relies on tumour staging and patient status, but accurate staging requires invasive procedures that fail to capture tumour heterogeneity and progression. There is an urgent need for less invasive diagnostic strategies, such as liquid biopsy technologies, which allow for repeated sampling and real-time analysis of tumour dynamics. Liquid biopsies, including circulating tumour cells (CTCs) and circulating tumour DNA (ctDNA), offer the potential to monitor recurrence, metastasis, and treatment responses, potentially transforming HCC clinical management by enabling earlier intervention and personalised treatment strategies.

Recent studies emphasise the potential of ctDNA as a non-invasive biomarker by targeting DNA methylation for early HCC detection, enabling timely intervention and personalised treatment to improve patient outcomes. Comparative analyses have shown that ctDNA mutation testing outperforms alpha-fetoprotein (AFP), with a sensitivity of 85% and a specificity of 92%, compared to 60% sensitivity and 80% specificity for AFP. Additionally, profiling the ctDNA mutation landscape of 100 HCC patients has identified recurrent mutations in genes such as TP53, CTNNB1, and AXIN1. ctDNA appears to be a promising non-invasive biomarker in the clinical management of HCC patients, with the sensitivity and specificity improving by 41.67% and 15% respectively. The ctDNA mutations, particularly those targeting DNA methylation, highlight great potential for precision medicine, critical for early diagnosis and prognosis of HCC.

Horizontal transfer of nuclear DNA between cells of host and cancer is a potential source of adaptive variation in cancer cells. An understanding of the frequency and significance of this process in naturally occurring tumors is, however, lacking. We screened for this phenomenon in the transmissible cancers of dogs and Tasmanian devils and found an instance in the canine transmissible venereal tumor (CTVT). This involved introduction of a 15-megabase dicentric genetic element, composed of 11 fragments of six chromosomes, to a CTVT sublineage occurring in Asia around 2,000 y ago. The element forms the short arm of a small submetacentric chromosome and derives from a dog with ancestry associated with the ancient Middle East. The introduced DNA fragment is transcriptionally active and has adopted the expression profile of CTVT. Its features suggest that it may derive from an engulfed apoptotic body. Our findings indicate that nuclear horizontal gene transfer, although likely a rare event in tumor evolution, provides a viable mechanism for the acquisition of genetic material in naturally occurring cancer genomes.

The present study aimed to clarify the clinical significance of the cell-free DNA (cfDNA) methylation profile of patients with non-small cell lung cancer (NSCLC) showing the epidermal growth factor receptor (EGFR) gene mutation.

In 103 patients, genome-wide DNA methylation analysis using Infinium Methylation EPIC array was performed using samples of pre-tyrosine kinase inhibitor afatinib-treatment plasma cfDNA (n = 101) and post-afatinib cfDNA (n = 84).

Principal component analysis indicated that the cfDNA methylation profile was altered after afatinib treatment. Hierarchical clustering using the pre-afatinib cfDNA methylation profile revealed that cases with a fatal outcome were accumulated in specific clusters. Moreover, Kaplan-Meier analysis showed that the pre-afatinib cfDNA methylation profile was significantly associated with both progression-free survival (PFS) and overall survival (OS), whereas the post-afatinib profile was not. The genes for which pre-afatinib cfDNA methylation levels were associated with PFS were accumulated in the cadherin, Wnt, and EGFR signaling pathways. Activation of EGFR-related signaling due to DNA methylation alterations might overturn the effect of afatinib. Pre-afatinib levels of CEP170 and CHCHD6 cfDNA methylation were associated with both PFS and OS. Both pre- and post-afatinib cfDNA methylation levels of SLC9A3R2 and INTS1 were associated with bone metastasis. Using the cfDNA methylation levels at two CpG sites, cg12721600 and cg05905155, patients showing an overall response were predicted with a sensitivity of 96% or more.

The non-invasively measurable cfDNA methylation profile may reflect the corresponding profile in cancer cells, and that pre-treatment measurement may provide clinically useful information on EGFR mutation-positive NSCLC.

Cell-free DNA (cfDNA) holds significant promise for diagnostic and therapeutic advancements in medicine. This review delineates the utility of cfDNA in diagnostics and its therapeutic potential through clearance mechanisms for an array of diseases. Damage-associated molecular patterns (DAMPs) are endogenous molecules released by host cells during stress, or injury. As a trigger for inflammatory responses via damage-associated molecular patterns (DAMPs), cfDNA's removal via nanotechnological approaches can attenuate inflammation and promote tissue repair. While the application of cfDNA clearance is particularly auspicious in cancer, sepsis, and inflammatory conditions, it is confronted with challenges including toxicity, specificity, and the rigors of clinical trial validation. Collectively, this review delineates novel therapeutic targets to inform the development of innovative treatment strategies.

Idiopathic pulmonary fibrosis (IPF) is a lung disease with an unknown etiology and a short survival rate. There is no accurate method of early diagnosis, and it involves computed tomography (CT) or lung biopsy. Since diagnostic methods are not accurate due to their similarity to other lung pathologies, discovering new biomarkers is a key issue for diagnosticians. Currently, the use of ccf-DNA (circulating cell-free deoxyribonucleic acid) is an important focus due to its association with IPF-induced alterations in metabolic pathways, such as amino acid metabolism, energy metabolism, and lipid metabolism pathways. Other biomarkers associated with metabolic changes have been found, and they are related to changes in type II/type I alveolar epithelial cells (AECs I/II), changes in extracellular matrix (ECM), and inflammatory processes. Currently, IPF pathogenetic treatment remains unknown, and the mortality rates are increasing, and the patients are diagnosed at a late stage. Signaling pathways and metabolic dysfunction have a significant role in the disease occurrence, particularly the transforming growth factor-β (TGF-β) signaling pathway, which plays an essential role. TGF-β, Wnt, Hedgehog (Hh), and integrin signaling are the main drivers of fibrosis. These pathways activate the transformation of fibroblasts into myofibroblasts, extracellular matrix (ECM) deposition, and tissue remodeling fibrosis. Therapy targeting diverse signaling pathways to slow disease progression is crucial in the treatment of IPF. Two antifibrotic medications, including pirfenidone and nintedanib, are Food and Drug Administration (FDA)-approved for treatment. ccf-DNA could become a new biomarker for IPF diagnosis to detect the disease at the early stage, while FDA-approved therapies could help to prevent late conditions from forming and decrease mortality rates.

In the practice of colorectal cancer (CRC), traditional tumor tissue analysis is limited by intratumoral and intertumoral heterogeneity and its invasive nature. Circulating tumor DNA (ctDNA) analysis, a promising liquid biopsy approach, has been increasingly explored in clinical studies. Biologically, ctDNA is characterized by tumor-specific diversity and rapid clearance from circulation, enabling real-time, dynamic, and repeatable assessments. Technologically, PCR- and NGS-based downstream analysis methods have been developed and validated. However, variables in pre-analytical and analytical procedures underscores the need for standardized protocols. Compared with clinicopathology-based risk stratification, ctDNA-based molecular residual disease detection has demonstrated significant potential in guiding treatment decisions. Qualitative and quantitative changes in ctDNA have also shown predictive and prognostic value during neoadjuvant or adjuvant treatment, as well as in later-line treatment for metastatic CRC. Specific molecular aberrations in ctDNA can not only assist in identifying candidates for targeted therapies but also reveal resistance mechanisms. Additionally, emerging research is exploring the potential of ctDNA in early cancer detection. Overall, as a novel biomarker, ctDNA holds substantial promise in advancing clinical practice. This review focuses on the biological characteristics, pre-analytical variables, and downstream analysis methods of ctDNA and summarizes its role across various clinical scenarios in CRC.

Liquid biopsies are becoming increasingly used for the detection and monitoring of disease states. While cell free DNA (cfDNA) in blood and urine have been well studied, much less is known about the composition of cfDNA in seminal fluid. We sought to characterize cfDNA in seminal fluid through tissue of origin studies using methylation analysis in men aged 21-60 yrs. We confirmed the observations of others that seminal fluid contains an abundance of cfDNA that is both nucleosomal and > 1 kb. However, here we demonstrate for the first time that the high molecular weight (HMW) DNA harbors a lower sperm signal and higher somatic cell signal compared to the nucleosomal fraction. Prostate, granulocytes and kidney showed a mean predicted increased contribution of 6.2%, 4.9% and 2.9%, respectively in the HMW fraction. While sperm was the predominant signal in most men without vasectomies, granulocyte cfDNA made up most of the signal in two of the non-vasectomy subjects. Unexpectedly, the proportion of prostate signal reached as high as 26.5% in the HMW fraction in non-vasectomy subjects. We also observed subject-specific cfDNA size distribution patterns that were reproducible over time, irrespective of abstinence times. These results suggest that seminal fluid is a rich source of cfDNA from various somatic cell types, and enriching for the HMW fraction would yield even higher sensitivity for somatic cfDNA detection. Considering these novel findings, it appears that seminal fluid may be able to serve as liquid biopsy for the detection and monitoring of prostate cancer, benign prostate hyperplasia, prostatitis and infertility.

Soft tissue sarcomas (STSs) constitute a group of tumors with heterogeneous alterations and different biological behavior. Genetic profiling techniques have immense potential to revolutionize sarcoma classification, detection, and treatment. Cell-free DNA (cfDNA) analysis offers a minimally invasive approach to profiling tumor alterations, including tracking specific mutations or targeted panels of cancer-related genes via DNA sequencing methods. Circulating tumor DNA (ctDNA) platforms have gained popularity as a noninvasive alternative to tissue biopsies, offering a less invasive approach to tumor profiling. Nonetheless, ctDNA profiling in concordance with standard solid tumor comprehensive genomic profiling (CGP) is poorly characterized for STSs. Ultra-low-pass whole-genome sequencing and whole exome sequencing of cfDNA have yet to be fully leveraged in patients with sarcomas. This comprehensive review provides an overview of the application of ctDNA in STSs.

Hepatic artery infusion with floxuridine is a treatment option for patients with colorectal liver metastases or intrahepatic cholangiocarcinoma. Outcomes from newer centers are understudied. Predictive markers are needed, and quantitative circulating tumor DNA is an emerging candidate method for predicting response in patients receiving hepatic artery infusion. We aimed to describe safety, feasibility, early oncologic outcomes, and quantitative circulating tumor DNA dynamics in patients treated with hepatic artery infusion at a newly established program.

Single-institution analysis of patients who underwent hepatic artery infusion pump placement (April 2022-April 2024) was conducted. Primary outcomes included safety and feasibility (receiving ≥1 cycle of floxuridine). Secondary outcomes included radiographic response (Response Evaluation Criteria in Solid Tumors 1.1), relative dose intensity of floxuridine received, and quantitative circulating tumor DNA response.

A total of 36 patients underwent hepatic artery infusion pump placement (colorectal liver metastases: 32; cholangiocarcinoma: 4). Technical success was 100%. Feasibility was 97%. One patient experienced mortality at 90 days from disease progression. Three patients (8%) experienced a total of 5 hepatic artery infusion pump-specific complications (pump pocket [n = 3], hemorrhage [n = 1], biliary sclerosis [n = 1]). Median relative dose intensity was 68.5% (colorectal liver metastases: 68.3%; cholangiocarcinoma 72.5.0%). For the 27 patients who underwent floxuridine therapy with available postoperative imaging, disease control rate was 97% (partial response: n = 15; stable disease: n = 11). Quantitative circulating tumor DNA was obtained from 16 patients (44%). Circulating tumor DNA dynamics appeared to correlate with and precede radiographic response.

Implementation of a new hepatic artery infusion program is safe and feasible with promising early oncologic outcomes. Circulating tumor DNA tracking is achievable and dynamic changes in circulating tumor DNA may correlate with radiographic response to treatment.

Objectives: Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer globally, with HPV-positive cases emerging as a distinct subtype with unique clinical and molecular characteristics. Current diagnostic methods, including tissue biopsy and imaging, face limitations in terms of invasiveness, static disease assessment, and difficulty in distinguishing recurrence from treatment-related changes. This review aimed to assess the potential of liquid biopsy as a minimally invasive tool for the diagnosis, treatment monitoring, and surveillance of HPV-associated HNSCC. Methods: This systematic review analyzed literature from PubMed/MEDLINE, Embase, and Web of Science, focusing on original research and reviews related to liquid biopsy applications in HPV-positive HNSCC. Included studies were evaluated based on the robustness of the study design, clinical relevance, and analytical performance of liquid biopsy technologies. Biomarker types, detection methods, and implementation strategies were assessed to identify advancements and challenges in this field. Results: Liquid biopsy technologies, including circulating HPV DNA, ctDNA, and extracellular vesicles, demonstrated high sensitivity (90-95%) and specificity (>98%) in detecting HPV-positive HNSCC. These methods enabled real-time monitoring of tumor dynamics, early detection of recurrence, and insights into treatment resistance. Longitudinal analysis revealed that biomarker clearance during treatment correlates strongly with patient outcomes. Conclusions: Liquid biopsy is a transformative diagnostic and monitoring tool for HPV-associated HNSCC, offering minimally invasive, real-time insights into tumor biology. While challenges remain in standardization and clinical implementation, ongoing research and technological innovations hold promise for integrating liquid biopsy into personalized cancer care, ultimately improving patient outcomes.

Breast cancer management has traditionally relied on tissue biopsies and imaging, which offer limited insights into the disease. However, the discovery of circulating tumor DNA (ctDNA) and minimal residual disease (MRD) detection has revolutionized our approach to breast cancer. ctDNA, which is fragmented tumor DNA found in the bloodstream, provides a minimally invasive way to understand the tumor's genomic landscape, revealing heterogeneity and critical mutations that biopsies may miss. MRD, which indicates cancer cells that remain after treatment, can now be detected using ctDNA and other advanced methods, improving our ability to predict disease recurrence. This allows for personalized adjuvant therapies based on individual MRD levels, avoiding unnecessary treatments for patients with low MRD. This review discusses how ctDNA and MRD represent a paradigm shift towards personalized, genomically guided cancer care, which has the potential to significantly improve patient outcomes in breast cancer.

Cell-free DNA (cfDNA) of ovarian carcinoma origin can be detected in samples from the gynecologic tract. This study aims to evaluate how pre-analytical handling affects DNA profile and integrity in Papanicolaou (Pap) tests, to optimize their potential for detection of ovarian cancers (OCs). Analysis of archived Pap tests from patients with OC, kept at room temperature for 48 hours and stored at -80°C, was complemented by in vitro experiments. Temperature-associated effects on DNA fragmentation were evaluated in samples stored at 4°C, -20°C, or -80°C. Time-dependent DNA degradation at room temperature was evaluated in comparison to storage at 4°C. Results were validated in prospectively collected Pap tests. The DNA integrity was assessed by fragment analysis. Accumulation of short DNA fragments was observed in archived Pap tests from patients with OC. In vitro, fragments of 100 to 350 bp increased 11.5-fold within 48 hours at room temperature compared with 1.7-fold when stored at 4°C. Consistent with the in vitro findings, prospectively collected samples showed reduced fragmentation when stored at 4°C compared with room temperature (P = 0.007). Long-term storage at 4°C had a significant negative effect on DNA stability (P = 0.013), whereas freezing slowed down fragmentation. Immediate storage at 4°C after sampling markedly reduces DNA degradation, suggesting a simple way to optimize pre-analytical handling and decrease unwanted fragmentation for cfDNA analysis in Pap tests.

In recent years, liquid biopsy has gained prominence as an emerging biomarker in cancer research, providing critical insights into tumor biology and metastasis. Technological advancements have enabled its integration into clinical practice, with ongoing trials demonstrating encouraging outcomes. Key applications of liquid biopsy include early cancer detection, cancer staging, prognosis evaluation, and real-time monitoring of tumor progression to optimize treatment decisions. In this review, we present a comprehensive conceptual framework for liquid biopsy, discuss the challenges in its research and clinical application, and highlight its significant potential in identifying therapeutic targets and resistance mechanisms across various cancer types. Furthermore, we explore the emerging role of liquid biopsy-based multicancer screening, which has shown promising advancements. Looking ahead, standardization, multi-omics coanalysis, and the advancement of precision medicine and personalized treatments are expected to drive the future development and integration of liquid biopsy into routine clinical workflows, enhancing cancer diagnosis and treatment management.

Breast cancer contributes a large fraction to mortality among women diagnosed with cancer. It is important to monitor residual disease and extend the lead time to detect relapse in high-risk patients. Minimally invasive techniques that utilise circulating biomarkers are being explored for their potential in diagnosis, prognosis, and disease monitoring of breast cancer. Circulating biomarkers have been investigated as tools for breast cancer diagnosis, prognosis, prediction, and monitoring of therapeutic response and resistance. Among these, circulating tumour cells and cell-free plasma DNA (cfDNA) derived from tumour cells (circulating tumour DNA i.e. ctDNA) have been integrated into clinical trial designs. Among all circulating biomarkers, ctDNA stands out as a promising biomaterial with great potential as it is thought to mirror the tumour's evolution. However, its clinical utilisation is hampered mainly by gaps in knowledge of its biological properties and specific characteristics. The development of robust and standardised methods for assessing circulating biomarkers is essential for realising the potential of personalised medicine. This review aims to summarise the characteristics of ctDNA and its role in breast cancer, drawing from both basic and translational research to provide insights into its clinical application. This review suggests that ctDNA has the potential to be a non-invasive, real-time surrogate for tumour tissue-based biomarkers. In conclusion, circulating biomarkers have the potential to revolutionise breast cancer diagnosis, prognosis, and treatment monitoring, but the development of standardised methods for their assessment is essential. ctDNA, in particular, shows great promise as a liquid biopsy tool, but further research is needed to understand its biology and ensure its clinical utility fully.

The implementation of lung cancer screening programs across the world has drawn considerable attention to improving early-stage lung cancer detection and prognostication. Several blood-based assays detecting circulating tumor DNA (ctDNA) recently emerged as noninvasive methods to detect malignancies. However, their limited sensitivity and predictive value remain a hurdle to their clinical use. We aimed to evaluate the association between clinicopathological parameters and presurgical ctDNA detection in clinical stage I non-small cell lung cancer patients to further understand ctDNA shedding biology. The cohort included 180 adenocarcinomas (LUAD) and 80 squamous cell carcinomas (LUSC) stage I patients who underwent lung cancer resection. Patients' clinical and pathological features were collected. A multicancer early-detection test (GRAIL LLC) was used to detect ctDNA using targeted methylation patterns. The association between the cell-free DNA tumor methylated fraction (TMeF) and the clinicopathological predictors was evaluated using univariate and multivariate modeling. LUSC was associated with a higher TMeF than LUAD. Pathological stage, tumor grade, and tumor volume were key determinants of ctDNA detection in both LUSC and LUAD. In LUAD, ctDNA detection also correlated with histologic pattern composition, necrosis, acute inflammation, and, to a lesser degree, spread through alveolar spaces and lymphovascular invasion. Based on our results, we propose classification methods for both LUAD (using histologic pattern composition) and LUSC (using tumor grade and pathological stage) to identify patients likely to have high ctDNA levels. These results confirm previous findings and suggest that previously unidentified factors, including histologic pattern composition and acute inflammation, influence ctDNA levels. These results will help in understanding the ctDNA shedding process and may allow identification of patients eligible for ctDNA detection-based follow-up.

The detection of circulating tumor DNA (ctDNA) has made significant advances in oncology in recent years. ctDNA offers a range of applications, including the identification of theranostic mutations, monitoring of tumor recurrence, and assessing treatment efficacy. In breast cancer, several ctDNA-based tests for detecting relapse during follow-up are currently under validation, with some already available in countries like the United States. In metastatic breast cancer, ctDNA levels and their dynamics during treatment have prognostic value. The PADA-1 trial demonstrated that a therapeutic adaptation based on the detection of a circulating subclone via circulating tumor DNA (ctDNA) was feasible and potentially beneficial for patients. This review will explore the methods for ctDNA detection and discuss the potential benefits of incorporating this technology into breast cancer monitoring and management across various clinical scenarios.

The detection and analysis of circulating cell-free nucleic acid (ccfNA) biomolecules are redefining a new era of molecular targeted cancer therapies. However, the clinical translation of electrochemical ccfNA biosensing remains hindered by unresolved challenges in analytical specificity and sensitivity. In this Perspective, we present a novel electrochemical framework for improving ccfNA biosensor performance by optimizing the critical electrode-biomolecules-electrolyte interfaces. We highlight and elucidate related research works on modification-free electrode sensor surfaces, nucleic acids as biological scaffolds, and redesigning redox reporter systems. We conclude by providing an outlook into the future research developments of ccfNA electrochemical biosensing, emphasizing the potential to overcome current analytical limitations by controlling the complex interplay of target biomolecules and redox species at the electrode surface. These advances are poised to significantly impact the development of electrochemical ccfNA technologies, improving both cancer diagnostics and therapeutic monitoring.

Tumors constantly shed cancer cells that are considered the mediators of metastasis via the blood stream. Analysis of circulating cells and circulating cell-free DNA (cfDNA) in liquid biopsies, mostly taken from peripheral blood, have emerged as powerful biomarkers in oncology, as they enable the detection of genomic aberrations. Similarly, liquid biopsies taken from pregnant women serve as prenatal screening test for an abnormal number of chromosomes in the fetus, e.g., via the analysis of microchimeric fetal cells and cfDNA circulating in maternal blood. Liquid biopsies are minimally invasive and, consequently, associated with reduced risks for the patients. However, different challenges arise in oncology and pregnancy-acquired liquid biopsies with regard to the analyte concentration and biological (background) noise among other factors. In this review, we highlight the unique biological properties of circulating tumor cells (CTC), summarize the various techniques that have been developed for the enrichment, detection and analysis of CTCs as well as for analysis of genetic and epigenetic aberrations in cfDNA and highlight the range of possible clinical applications. Lastly, the potential, but also the challenges of liquid biopsies in oncology as well as their translational value for the analysis of pregnancy-acquired microchimerism are discussed.

PATHFINDER was a prospective cohort study of multicancer early detection (MCED) testing in an outpatient ambulatory population. The aim of this study is to report the patient-reported outcomes (PROs) collected as secondary and exploratory measures in the PATHFINDER study.

PATHFINDER is a prospective, multicentre, cohort study that enrolled existing healthy ambulatory outpatients at seven health networks in the USA, including hospitals, academic medical centres, and integrated health systems. Enrolled adults were aged 50 years or older without clinical suspicion of cancer, with or without additional cancer risk factors (smoking history, genetic predisposition, or previous cancer diagnosis). The primary objective was time to diagnostic resolution after an MCED cancer signal detected (CSD) result and extent of testing pursued. The objectives of the 12-month PATHFINDER study reported here were assessment of patient-reported outcomes and perceptions with MCED testing (the effect of the MCED test result disclosure, general anxiety symptoms, health-related quality of life, and satisfaction with the MCED test). PRO instruments used included an adapted Multidimensional Impact of Cancer Risk Assessment (MICRA) for distress, uncertainty, and positive experience at MCED test result disclosure; PRO Measurement Information System (PROMIS) Anxiety short-form for anxiety symptoms; and Short Form 12-Item Health Survey (SF-12v2) for health-related quality of life. Intentions towards adherence to guideline recommended screening was also assessed as an exploratory objective. This study is registered at ClinicalTrials.gov, NCT04241796, and is complete.

Between Dec 12, 2019, and Dec 4, 2020, 6662 participants were recruited and 6621 eligible participants had analysable MCED test results (n=92 CSD and n=6529 no CSD [NCSD]). The majority of participants were women (4204 [63·5%] of 6621) and White (6071 [91·7%] of 6621). For participants who completed the MICRA at results disclosure, the mean total MICRA score was 28·4 (SD 14·9) for the 50 patients with a CSD result and 8·8 (7·2) for those with an NCSD result (n=5864 completed the full questionnaire). Mean general anxiety scores increased in true-positive and false-positive groups at results disclosure. The PROMIS anxiety true-positive group baseline score of 46·2 (SD 6·5; n=35) increased to 48·4 (7·3; n=19) and the scores in the false-positive group increased from 47·3 (7·3; n=52) to 49·7 (7·7; n=30). Mean scores in both groups returned towards baseline by end of study (true positive 46·8, SD 8·0; n=28; false positive 46·9, 8·1; n=41). Mean SF-12v2 mental component summary and scale scores were within the average general population range at all timepoints. A high proportion of participants (5749 [97·1%] of 5920) responded they were "satisfied", "very satisfied", or "extremely satisfied" with the MCED test, with this proportion highest in those with NCSD (5698 [97·2%] of 5861), followed by those with a true-positive MCED result (23 [92·0%] of 25) and those with a false-positive result (28 [82·4%] of 34). Most participants indicated they were likely or very likely to adhere to health-care providers' future cancer screening recommendations at end of study (5182 [95·6%] of 5418).

The negative patient-reported effects associated with a CSD result from MCED testing were small and returned to baseline within 12 months for participants with or without a cancer diagnosis. PATHFINDER results indicate potential clinical benefit of early cancer detection and minimal patient distress associated with MCED testing.

GRAIL.

Second Primary Cancers (SPCs) are defined as cancers that develop either simultaneously or metachronously in the same individual who has been diagnosed with and survived one primary cancer. SPCs exhibit a high incidence rate and represent the primary cause of mortality among survivors of first primary cancers. There is growing concern about the dangers of SPCs. This review summarizes recent studies on the mechanisms of SPCs, including the roles of genomic changes after first primary cancer (FPC) treatments, stromal cell phenotypic and metabolic changes, hormone levels and receptor expression, immunosuppression, aberrant gene methylation, EGFR signaling, and cell-free DNA in SPC development. This comprehensive analysis contributes to elucidating current research trends in SPC mechanisms and enhances our understanding of the underlying pathophysiology. Furthermore, potential applications of intratumoral microbes, single-cell multi-omics, and metabolomics in investigating SPC mechanisms are also discussed, providing new ideas for follow-up studies.

Not all breast cancer (BC) patients can benefit from neoadjuvant therapy (NAT). A poor response may result in patients missing the best opportunity for treatment, ultimately leading to a poor prognosis. Thus, to identify an effective predictor that can assess and predict patient response at early time points, we focused on circulating tumor DNA (ctDNA), which is a vital noninvasive liquid biopsy biomarker. We performed a meta-analysis to explore the predictive value of response by monitoring ctDNA at four time points of NAT using pathologic complete response (pCR) and residual cancer burden (RCB).

By searching Embase, PubMed, the Cochrane Library, and the Web of Science until December 24, 2023, we selected studies concerning the relationship between ctDNA and response or prognosis. We analysed the results at the following various time points: baseline (T0), first cycle of NAT (T1), mid-treatment (MT), and end of NAT (EOT). pCR and RCB were used to evaluate the response as the primary endpoint. The secondary endpoint was to investigate the relationship between ctDNA and prognosis. Odds ratios (ORs) and hazard ratios (HRs) were used as effect indicators.

Thirteen reports from twelve studies were eligible for inclusion in this meta-analysis. The results demonstrated that ctDNA negativity was associated with pCR at T1 (OR = 0.34; 95% CI: 0.21-0.57), MT (OR = 0.35; 95% CI: 0.20-0.60), and EOT (OR = 0.38; 95% CI: 0.22-0.66). When RCB was used to evaluate responses, ctDNA negativity was associated with RCB-0/I at the MT (OR = 0.34; 95% CI: 0.21-0.55) and EOT (OR = 0.26; 95% CI: 0.15-0.46). Furthermore, ctDNA positivity at T1 predicted a worse prognosis for patients (HR = 2.73; 95% CI: 1.29-5.75). We also performed a subgroup analysis to more accurately assess the predictive value of ctDNA for triple-negative breast cancer.

Our meta-analysis suggested that the ctDNA status at the early stage of NAT can predict patient response, which provides evidence for adjusting personalized treatment strategies and improving patient survival.

CRD42024496465.

Liquid biopsy has become an opportunity in lymphoma diagnostics, since plasma circulating tumor DNA (ctDNA) is an easily accessible source of tumor DNA, which can be complementary to tissue biopsy. Through ctDNA, lymphomas can be molecularly characterized, tumor clonal evolution can be tracked, while monitoring minimal residual diseases during and after therapy. Here, we describe the methodology of cancer personalized profiling by deep sequencing (CAPP-seq) that we use for ctDNA qualification and quantification.

Circulating tumor DNA (ctDNA) is a promising biomarker for cancer prognosis and drug development. A major challenge in the ctDNA determination method is discriminating ctDNA from highly similar but significantly more abundant wild-type DNA sensitively and accurately.

An ultrasensitive qPCR method termed Triple Enrichment Amplification of Mutation PCR (TEAM-PCR) was developed to detect EGFR T790M mutation.

EGFR T790M was quantified over the assay range of 25-106 copies/reaction in the presence of 106 wild-type copies. This method was fully validated following the essential bioanalysis guidance, with the limit of detection (LOD) being five copies/reaction.

This study established and validated a qPCR-based strategy to detect EGFR T790M mutation with ultra-high sensitivity and reliability.

Glioma is the most common primary malignant brain tumor. Despite significant advances in the past decade in understanding the molecular pathogenesis of this tumor and exploring therapeutic strategies, the prognosis of patients with glioma remains poor. Accurate diagnosis of glioma is very important for the treatment and prognosis. Although the gold-standard method for the diagnosis and prognosis prediction of patients with glioma is tissue biopsy, it still has many limitations. Liquid biopsy can provide information on the auxiliary diagnosis and prognosis of gliomas. In this review, we summarized the application of cell-free DNA (cfDNA) and circulating tumor DNA (ctDNA) in the auxiliary diagnosis and prognosis of glioma. The common methods used to detect ctDNA in gliomas using samples including blood and cerebrospinal fluid (CSF) and the detection techniques for ctDNA, including droplet digital PCR (ddPCR) and next-generation sequencing (NGS), were discussed. Detection of ctDNA from plasma of patients with brain tumors remains challenging because of the blood-brain barrier (BBB). CSF has been proposed as a medium for ctDNA analysis in brain tumors, and mutation detection using plasma ctDNA was less sensitive than CSF ctDNA sequencing. Moreover, ongoing relevant clinical studies were summarized. Finally, we discussed the challenges, and future directions for the studies on ctDNA in glioma.

Early detection of colorectal cancer (CRC) is crucial for improving the survival rates of patients.

We aimed to develop a novel strategy for early CRC detection using the fragmentomic features of circulating cell-free mitochondrial DNA (ccf-mtDNA).

Here, a total of 1147 participants, including 478 healthy controls (HCs), 112 patients with advanced adenomas (AAs) and 557 patients with CRC, were enrolled from five hospitals and plasma samples were collected for capture-based ccf-mtDNA sequencing.

Our data analysis revealed significantly aberrant ccf-mtDNA fragmentomic features in patients with CRC and AA when compared with HCs. Then, a CRC detection (CD) model was constructed based on the fragmentomic features of ccf-mtDNA from 246 patients with CRC and 168 HC in the training cohort, showing area under the curve of 0.9863, sensitivity of 92.68% and specificity of 93.45%. Both internal and two external validation cohorts demonstrated the excellent capacity of CD model in distinguishing patients with early-stage CRC from HCs, greatly surpassing the performance of serum biomarkers. Furthermore, our CD model can also detect patients with AA with a sensitivity of 79.35% in AA cohort 1 and 85.00% in AA cohort 2.

In conclusion, based on aberrant ccf-mtDNA fragmentomic features, a novel and non-invasive approach was established for the detection of patients with early-stage CRC or AA, with high performance.

Melanoma is one of the most malignant cancers, and the global incidence of cutaneous melanoma is increasing. While melanomas are highly prone to metastasize if diagnosed late, early detection and treatment significantly reduce the risk of mortality. Identifying patients at higher risk of metastasis, who might benefit from early adjuvant therapies, is particularly important, especially with the advent of new melanoma treatments. Therefore, there is a pressing need to develop additional prognostic biomarkers for melanoma to improve early stratification of patients and accurately identify high-risk subgroups, ultimately enabling more effective personalized treatments. Recent advances in melanoma therapy, including targeted treatments and immunotherapy, have underscored the importance of biomarkers in determining prognosis and predicting treatment response. The clinical application of these markers holds the potential for significant advancements in melanoma management. Various tumor-derived genetic, proteomic, and cellular components are continuously released into the bloodstream of cancer patients. These molecules, including circulating tumor DNA and RNA, proteins, tumor cells, and immune cells, are emerging as practical and precise liquid biomarkers for cancer. In the current era of effective molecular-targeted therapies and immunotherapies, there is an urgent need to integrate these circulating biomarkers into clinical practice to facilitate personalized treatment. This review highlights recent discoveries in circulating melanoma biomarkers, explores the challenges and potentials of emerging technologies for liquid biomarker discovery, and discusses future directions in melanoma biomarker research.

Neutrophil extracellular traps (NETs) have been shown to promote the metastatic potential of many kinds of tumors. Our study aimed to investigate the role and mechanisms of NETs in lymph node metastasis (LNM) of cervical cancer (CCa), and evaluated the therapeutic value of targeting NETs in CCa. Immunohistochemistry demonstrated that neutrophil infiltration and NETs formation were increased in CCa patients with LNM, as well as confirming a positive correlation between S100A7 expression and neutrophil infiltration in CCa. NETs enhanced the migratory capability of CCa by activating the P38-MAPK/ERK/NFκB pathway through interaction with TLR2. Digesting NETs with deoxyribonuclease 1 (DNase 1) or inhibiting TLR2 with chloroquine eliminated the NETs-induced metastatic potential of CCa. Additionally, NETs promoted lymphangiogenesis and increased the permeability of lymphatic vessels, thus facilitating translymphatic movement of CCa. CCa-derived S100A7 exhibited a chemotactic effect on neutrophils and promoted NETs generation by elevating ROS levels rather than activating autophagy in neutrophils. The mouse model with footpad implantation illustrated that DNase 1 effectively reduced LNM in LPS-induced mice and in mice seeded with S100A7-overexpressing CCa cells. In conclusion, our study reveals a new tumor-promoting mechanism of S100A7, clarifies the crucial role and mechanism of NETs in LNM of CCa, and indicates that the NETs-targeted therapy emerges as a promising anti-metastasis therapy in CCa.

The study provides a thorough examination of literature from 2013 to 2023, delving into the intricate relationship between mitochondrial function and colorectal cancer (CRC). It offers a concise overview of the current landscape and emerging trends in this rapidly evolving research area. The findings indicate a consistent rise in annual publications, reflecting growing interest and significant potential in the field. China emerges as the leading contributor, followed by the United States and India. However, despite China's dominance in output, its average citation rate is lower than that of the US, which leads in citations per publication, highlighting a noticeable disparity. In the realm of research institutions, Shanghai Jiao Tong University and China Medical University are identified as major contributors, yet the potential for inter-institutional collaboration remains largely untapped, suggesting avenues for future synergy. Internationally, China-US collaborations are particularly robust, fostering cross-border knowledge exchange. Hyun Jin Won and Li Wei are recognized as prolific authors, while Ahmedin Jemal is an influential co-cited scholar, noted for his seminal contributions. Keyword analysis reveals research focus areas, such as the complex CRC tumor microenvironment, molecular mechanisms of oxidative stress, and key multidrug resistance pathways. It also highlights the promising potential of mitochondria-targeted therapies and nanomolecular technologies in clinical practice, signaling their growing significance in addressing complex health challenges. The study underscores the imperative to validate complex mitochondrial mechanisms and signaling pathways in CRC, with a particular emphasis on translating these insights into drug targets for clinical trials. Advancing this research is expected to refine and enhance CRC treatment strategies. Additionally, it highlights the urgency of validating mitochondrial complexities in CRC, advocating for collaborative efforts to link these mechanisms with tailored therapeutic interventions for clinical testing. This integrated approach promises significant advancements in developing effective, targeted CRC treatments, ultimately improving patient outcomes.

Epigenetic dysregulation is a hallmark of many human malignancies, with DNA methylation being a primary mechanism influencing gene expression and maintaining genomic stability. Genome-wide hypomethylation, characteristic of many cancers, is partly attributed to the demethylation of repetitive elements, including LINE-1, a prevalent non-LTR retrotransposon. The methylation status of LINE-1 is closely associated with overall genomic methylation levels in tumors. cfDNA comprises extracellular DNA fragments found in bodily fluids such as plasma, serum, and urine, offering a dynamic snapshot of the genetic and epigenetic landscape of tumors. This real-time sampling provides a minimally invasive avenue for cancer diagnostics, prognostics, and monitoring. The methylation status of LINE-1 in cfDNA has emerged as a promising biomarker, with several studies highlighting its potential in diagnosing and predicting outcomes in cancer patients. Recent research also suggests that cfDNA-based LINE-1 methylation analysis could serve as a valuable tool in evaluating the efficacy of cancer therapies, including immunotherapy. The growing clinical significance of cfDNA calls for a closer examination of its components, particularly repetitive elements like LINE-1. Despite their importance, the role of LINE-1 elements in cfDNA has not been thoroughly gauged. We aim to address this gap by reviewing the current literature on LINE-1 cfDNA assays, focusing on their potential applications in diagnostics and disease monitoring.

Liquid biopsy, particularly circulating tumor DNA (ctDNA), has drawn a lot of attention as a non- or minimal-invasive detection approach for clinical applications in patients with cancer. Many hematological malignancies are well suited for serial and repeated ctDNA surveillance due to relatively high ctDNA concentrations and high loads of tumor-specific genetic and epigenetic abnormalities. Progress of detecting technology in recent years has improved sensitivity and specificity significantly, thus broadening and strengthening the potential utilities of ctDNA including early diagnosis, prognosis estimation, treatment response evaluation, minimal residual disease monitoring, targeted therapy selection, and immunotherapy surveillance. This manuscript reviews the detection methodologies, clinical application and future challenges of ctDNA in hematological malignancies, especially for lymphomas, myeloma and leukemias.

Conventional blood-based biomarkers and radiographic imaging are excellent for use in monitoring different aspects of malignant disease, but given their specific shortcomings, their integration with other, complementary markers such as plasma circulating tumor DNA (ctDNA) will be beneficial toward a precision medicine-driven future. Plasma ctDNA analysis utilizes the measurement of cancer-specific molecular alterations in a variety of bodily fluids released by dying tumor cells to monitor and profile response to therapy, and is being employed in several clinical scenarios. Plasma concentrations of ctDNA have been reported to correlate with tumor burden. However, the strength of this association is generally poor and highly variable, confounding the interpretation of longitudinal plasma ctDNA measurements in conjunction with routine radiographic assessments. Herein is discussed what is currently understood with respect to the fundamental characteristics of tumor growth that dictate plasma ctDNA concentrations, with a perspective on its interpretation in conjunction with radiographically determined tumor burden assessments.

Circulating tumor DNA (ctDNA) is a revolutionary tool in the detection and monitoring of cancer: a minimally invasive, highly sensitive approach to analysing tumor-specific DNA in the bloodstream. Therefore, it is of interest to explore the current and evolving landscape of cancer genomics as precision tools in quantifying tumor dynamics. Thus, the role of ctDNA in tracking minimum residual disease, relapse, recurrence and the tailoring of therapeutic strategies for effective management of tumours is reviewed.

Ovarian cancer, endometrial cancer, and cervical cancer are the three primary gynaecological cancers that pose a significant threat to women's health on a global scale. Enhancing global cancer survival rates necessitates advancements in illness detection and monitoring, with the goal of improving early diagnosis and prognostication of disease recurrence. Conventional methods for identifying and tracking malignancies rely primarily on imaging techniques and, when possible, protein biomarkers found in blood, many of which lack specificity. The process of collecting tumour samples necessitates intrusive treatments that are not suitable for specific purposes, such as screening, predicting, or evaluating the effectiveness of treatment, monitoring the presence of remaining illness, and promptly detecting relapse. Advancements in treatment are being made by the detection of genetic abnormalities in tumours, both inherited and acquired. Newly designed therapeutic approaches can specifically address some of these abnormalities. Liquid biopsy is an innovative technique for collecting samples that examine specific cancer components that are discharged into the bloodstream, such as circulating tumour DNA (ctDNA), circulating tumour cells (CTCs), cell-free RNA (cfRNA), tumour-educated platelets (TEPs), and exosomes. Mounting data indicates that liquid biopsy has the potential to improve the clinical management of gynaecological cancers through enhanced early diagnosis, prognosis prediction, recurrence detection, and therapy response monitoring. Understanding the distinct genetic composition of tumours can also inform therapy choices and the identification of suitable targeted treatments. The main benefits of liquid biopsy are its non-invasive characteristics and practicality, enabling the collection of several samples and the continuous monitoring of tumour changes over time. This review aims to provide an overview of the data supporting the therapeutic usefulness of each component of liquid biopsy. Additionally, it will assess the benefits and existing constraints associated with the use of liquid biopsy in the management of gynaecological malignancies. In addition, we emphasise future prospects in light of the existing difficulties and investigate areas where further research is necessary to clarify its rising clinical capabilities.

Liquid biopsy based on cell-free DNA (cfDNA) analysis holds significant promise as a minimally invasive approach for the diagnosis, genotyping, and monitoring of solid malignancies. Human tumors release cfDNA in the bloodstream through a combination of events, including cell death, active and passive release. However, the precise mechanisms leading to cfDNA shedding remain to be characterized. Addressing this question in patients is confounded by several factors, such as tumor burden extent, anatomical and vasculature barriers, and release of nucleic acids from normal cells. In this work, we exploited cancer models to dissect basic mechanisms of DNA release.

We measured cell loss ratio, doubling time, and cfDNA release in the supernatant of a colorectal cancer (CRC) cell line collection (N = 76) representative of the molecular subtypes previously identified in cancer patients. Association analyses between quantitative parameters of cfDNA release, cell proliferation, and molecular features were evaluated. Functional experiments were performed to test the impact of modulating DNA methylation on cfDNA release.

Higher levels of supernatant cfDNA were significantly associated with slower cell cycling and increased cell death. In addition, a higher cfDNA shedding was found in non-CpG Island Methylator Phenotype (CIMP) models. These results indicate a positive correlation between lower methylation and increased cfDNA levels. To explore this further, we exploited methylation microarrays to identify a subset of probes significantly associated with cfDNA shedding and derive a methylation signature capable of discriminating high from low cfDNA releasers. We applied this signature to an independent set of 176 CRC cell lines and patient derived organoids to select 14 models predicted to be low or high releasers. The methylation profile successfully predicted the amount of cfDNA released in the supernatant. At the functional level, genetic ablation of DNA methyl-transferases increased chromatin accessibility and DNA fragmentation, leading to increased cfDNA release in isogenic CRC cell lines. Furthermore, in vitro treatment of five low releaser CRC cells with a demethylating agent was able to induce a significant increase in cfDNA shedding.

Methylation status of cancer cell lines contributes to the variability of cfDNA shedding in vitro. Changes in methylation pattern are associated with cfDNA release levels and might be exploited to increase sensitivity of liquid biopsy assays.

Gastric cancer (GC) is the fourth leading cause of cancer mortality worldwide. Peritoneal metastasis (PM) is a significant cause of death in patients with GC, and presents a major challenge in clinical diagnosis and treatment. Predicting the occurrence of PM in high-risk patients, and diagnosing and treating PM in advance to improve patient survival, remains an unsolved problem in clinical practice. Given the low positive rate of cytology and difficulty in diagnosing occult PM, new molecular markers and detection technologies for early diagnosis require urgent validation. The primary objective of this study is to observe and evaluate the predictive effect of intraoperative peritoneal lavage fluid (PLF) circulating tumour cells (CTC) and circulating tumour DNA (ctDNA) levels in patients with pT4NxM0/pT1-3N+M0 GC on metachronous PM after R0 resection.

This prospective single-centre clinical study is conducted at Renji Hospital, Shanghai Jiao Tong University School of Medicine. In this study, 200 cases of patients with pT4NxM0/pT1-3N+M0 gastric adenocarcinoma older than 18 years will be screened. Participants will undergo intraoperative PLF CTC and ctDNA testing and will be followed up for 2 years, with imaging assessments performed every 3-6 months until PM occurrs. The primary outcome is the incidence of PM 1 year after surgery, which will be estimated using Clopper-Pearson method, with 95% CIs calculated and compared between groups. Secondary outcome include the incidence of PM 2 years after surgery, overall survival and disease progression. Data will be analysed using the Kaplan-Meier method and the log-rank test.

Informed consent has been obtained from all subjects. This protocol has been approved by the Ethics Committee of Renji Hospital, Shanghai Jiao Tong University School of Medicine (LY2023-142-B). The findings will be disseminated through peer-reviewed manuscripts, reports and presentations.

ChiCTR2300074910.

We studied the poorly-known dynamics of circulating DNA (cir-nDNA), as monitored prospectively over an extended post-surgery period, in patients with cancer.

On patients with stage III colon cancer (N = 120), using personalised molecular tags we carried out the prospective, multicenter, blinded cohort study of the post-surgery serial analysis of cir-nDNA concentration. 74 patients were included and 357 plasma samples tested.

During post-operative follow-up, the patients' median cir-nDNA concentration was greater (P < 0.0001 in the [43-364 days range]) than both the median value in healthy individuals and the pre-surgery value. These cir-nDNA levels were highly associated with NETs markers (P-value associating MPO and cir-nDNA, and NE and cir-nDNA are 6.6 x 10-17, and 1.9 x 10-7), in accordance with previous reports which indicate that cir-nDNA are NETs by-products. Unexpectedly, in 34 out of 50 patients we found that NETs continued to be formed for an extended duration post-surgery, even in patients without disease progression. Given that this phenomenon was observed in patients without adjuvant CT, and in patients >18 months post-surgery, the data suggest that the persistence of NETs formation is not due to the adjuvant CT.

(1), Given the inter-patient heterogeneity, the post-surgery cir-nDNA level cannot be considered a reliable value, and caution must be exercised when determining mutation allele frequency or the mutation status; and (2), specific studies must be undertaken to investigate the possible clinical impact of the persistent, low-grade inflammation resulting from elevated NETs levels, such as observed in these post-surgery patients, given that such levels are known to potentially induce adverse cardiovascular or thrombotic events.

This work was supported by the H2020 European ERA-NET grant on Translational Cancer Research (TRANSCAN-2).