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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Clin Oncol. Oct 24, 2026; 17(10): 126162
Published online Oct 24, 2026. doi: 10.5306/wjco.126162
Integrated single-cell transcriptomic analysis of brain and lymph node metastases in non-small cell lung cancer
Zhang-Nan Liu, Miao-Miao Li, Yu Ping, Qi-Tai Zhao, Li-Ping Wang, Yi Zhang
Zhang-Nan Liu, Miao-Miao Li, Yu Ping, Qi-Tai Zhao, Yi Zhang, Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
Li-Ping Wang, Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
Yi Zhang, Aging Decoding and Regeneration Institute, School of Life Sciences, Zhengzhou University, Zhengzhou 450000, Henan Province, China
Yi Zhang, School of Public Health, Zhengzhou University, Zhengzhou 450000, Henan Province, China
Yi Zhang, State Key Laboratory of Metabolic Dysregulation & Prevention and Treatment of Esophageal Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, School of Convergence Medicine, Zhengzhou University, Zhengzhou 450000, Henan Province, China
Yi Zhang, Institute of Cell Therapy and Immunotherapy, Henan Academy of Innovations in Medical Science, Zhengzhou 450000, Henan Province, China
Co-first authors: Zhang-Nan Liu and Miao-Miao Li.
Co-corresponding authors: Li-Ping Wang and Yi Zhang.
Author contributions: Liu ZN analyzed the data and drafted the manuscript; Li MM analyzed the data and drafted the Materials and Methods section; Ping Y contributed to the clinical sample collection and analysis; Zhao QT designed the manuscript; Wang LP supervised the study and revised the manuscript; Zhang Y designed and supervised the study and revised the manuscript; Liu ZN and Li MM made crucial and indispensable contributions towards the completion of the project and therefore qualify as the co-first authors of the paper; Wang LP and Zhang Y played important and indispensable roles in the manuscript preparation as co-corresponding authors; all authors have reviewed and approved the final manuscript.
AI contribution statement: We declare that no AI tools were used in the development or writing of this manuscript and take full responsibility for its integrity, accuracy, and originality.
Conflict-of-interest statement: The authors declare that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Corresponding author: Yi Zhang, MD, PhD, Chief Physician, Full Professor, Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe East Road, Zhengzhou 450052, Henan Province, China. yizhang@zzu.edu.cn
Received: July 28, 2026
Revised: August 31, 2026
Accepted: October 13, 2026
Published online: October 24, 2026
Processing time: 87 Days and 2.3 Hours
Abstract
BACKGROUND

Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related mortality worldwide, and metastasis remains the primary driver of treatment failure and death. Despite recent advances in single-cell RNA sequencing (scRNA-seq), most studies have focused on isolated metastatic sites; there is still a lack of studies that simultaneously focus on the cellular and molecular characteristics of brain and lymph node metastases in NSCLC.

AIM

To explore features of brain and lymph node metastases in NSCLC and to nominate candidate pathways for subsequent functional interrogation.

METHODS

We integrated three public scRNA-seq datasets (GSE131907, GSE186344, and GSE256491) to construct a high-resolution transcriptomic atlas of NSCLC. These scRNA-seq cohorts were heterogeneous and not clinically matched primary-metastasis pairs, comprising a total of 45 samples (including 11 primary tumors, 7 lymph node metastases, 15 brain metastases, and 12 normal controls) and 208506 high-quality cells. We systematically dissected cellular heterogeneity, the distribution of tumor epithelial subpopulations in different metastatic sites, pathway activation, and immune microenvironment remodeling during metastasis. To assess the relationship between the expression of the tumor subclusters and overall survival of lung adenocarcinoma (LUAD) patients, we conducted a multivariate Cox regression analysis using The Cancer Genome Atlas (TCGA) data with ssGSEA gene-signature scores. Multiplex immunohistochemistry (mIHC) was performed on a cohort of 23 patients (Mets1: 12 cases of lymph node metastasis, including 2 with distant metastasis; Mets0: 11 cases of non-metastasis) to preliminarily validate macrophage infiltration and unfolded protein response (UPR)-related protein expression.

RESULTS

Metastatic lesions exhibited marked enrichment of T cells and myeloid cells. Immune landscape analysis revealed a dual immunosuppressive microenvironment comprising exhausted T cells overexpressing PDCD1, HAVCR2, CTLA4, and LAG3, and increased macrophage infiltration. The distribution of tumor epithelial subpopulations varied in different metastatic foci. The UPR was abnormally activated in both metastatic sites. TCGA data analysis revealed that high expression of the tumor epithelial subpopulation (C14_PBK_Tumor) was associated with inferior overall survival in LUAD patients (multivariate Cox regression analysis, hazard ratio = 2.39, 95%CI: 1.15-4.97, adjusted P = 0.02). Consistently, the mIHC results showed that in the metastasis group, the levels of CD68+CD163+ macrophages and cells triple-positive for UPR markers (XBP1, ATF6, and ATF4) were higher than those in the non-metastasis group. (Mann–Whitney U test; data are presented as medians; CD68+CD163+ cell rate: Met0: 1.913 vs Met1: 3.338, P = 0.0129; XBP1+/ATF6+/ATF4+ cell rate: Met0: 60.19 vs Met1: 73.26, P = 0.0028).

CONCLUSION

These findings suggest that in brain and lymph node metastatic sites of NSCLC, there is abnormal activation of the UPR, along with a dual immunosuppressive microenvironment and differential distribution of tumor epithelial subpopulations. However, further functional and prospective studies are needed to confirm these observations.

Keywords: Non-small cell lung cancer; scRNA-seq; T cells; Macrophages; Unfolded protein response; Brain metastasis; Lymph node metastasis

Core Tip: Our study offers a panoramic analysis of two distinct metastatic sites within the same disease context. Our main findings are: The distribution of tumor epithelial subpopulations differs across metastatic foci; abnormal activation of unfolded protein response (UPR) occurs in both metastatic sites; and a dual immunosuppressive microenvironment is characterized. Multivariate Cox regression analysis based on The Cancer Genome Atlas data revealed that, among the tumor epithelial subpopulations, the C14_PBK_Tumor subtype was associated with worse prognosis in lung adenocarcinoma patients. Importantly, multiplex immunohistochemistry was performed to assess macrophage infiltration and the expression of UPR-related proteins. These findings still require further verification through functional experiments and prospective studies.

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