Evidence map›Paper›PMID 40772225›Full record

ArticleFrontiers in cell and developmental biology2025

Deciphering the tumor ecosystem dynamics undergoing immunochemotherapy therapy across multiple cancer types unveils the immunosuppressive role of S100A4 in fibroblasts by promoting PD-L1 expression in tumor cells.

Bo Yang, Ruiji Chen, Mali Zu, Jie Yao, Hong Ren, Yingxue Lin, Bo Zhang, Tianjiao Ji, Yang Liu

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Bo Yang *Department of Thoracic Surgery, The First Medical Center of the People Liberty Army General Hospital, Beijing, China.
Ruiji Chen *Postgraduate School, Medical School of Chinese People Liberty Army, Beijing, China.
Mali ZuCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China.
Jie YaoDepartment of General Surgery, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University/General Hospital of Eastern Theater Command, PLA, Nanjing, Jiangsu, China.
Hong RenPostgraduate School, Medical School of Chinese People Liberty Army, Beijing, China.
Yingxue LinPostgraduate School, Medical School of Chinese People Liberty Army, Beijing, China.
Bo ZhangDepartment of Cardiothoracic Surgery, The 80Th Group Army Hospital of Chinese People Liberty Army, Weifang, Shandong, China.
Tianjiao JiCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China.
Yang LiuDepartment of Thoracic Surgery, The First Medical Center of the People Liberty Army General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neoadjuvant therapy (NAT) has transformed cancer treatment by improving surgical outcomes and survival rates, yet resistance mechanisms across multiple cancer types remain unclear. This study aimed to decipher tumor ecosystem dynamics during NAT using cross-cancer single-cell sequencing data, focusing on identifying key mediators of immunosuppression and treatment resistance. Methods: Single-cell RNA-sequencing (scRNA-seq) datasets from five solid tumors (esophageal squamous cell carcinoma, esophagogastric junction carcinoma, colorectal cancer, cervical cancer, and triple-negative breast cancer) were integrated. The data from these five cancer types underwent a rigorous process to standardize cell types across all datasets. Cell-cell communication analysis, Meta-Programs (MPs) via non-negative matrix factorization, and functional enrichment were performed. Immunohistochemistry (IHC) and Western blot validated S100A4 expression and PD-L1 induction Results: We constructed a single-cell map across cancer types and systematically characterized dynamic changes in tumor cells and diverse microenvironmental cell populations following neoadjuvant therapy, along with thier gene expression and pathway alterations. Our findings highlight that crosstalk between cancer-associated fibroblasts (CAFs) and tumor cells represents a critical determinant of neoadjuvant therapy resistance. Fibroblasts underwent significant state transitions post-treatment, marked by hypoxia-associated gene upregulation (e.g., Conclusion: This cross-cancer single-cell atlas reveals S100A4, secreted by CAFs, as a conserved mediator of PD-L1 upregulation in tumor cells, driving immunosuppression and resistance to nICT. The atlas and mechanistic findings provide a rationale for targeting S100A4 to enhance treatment efficacy, pending validation in larger cohorts and mechanistic studies. This resource also supports the development of personalized, cross-cancer neoadjuvant strategies.

Indexed as

cross-cancer atlasneoadjuvant therapyS100A4single-cell RNA sequencingtumor microenvironment

Identifiers

PMID40772225
PMCPMC12325385

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