ORIGINAL RESEARCH article
Front. Cell Dev. Biol.
Sec. Cancer Cell Biology
Volume 13 - 2025 | doi: 10.3389/fcell.2025.1613296
This article is part of the Research TopicAdvancements in Solid Tumor Immunotherapy: Enhancing Efficacy and Overcoming ResistanceView all 3 articles
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
Provisionally accepted- 1The First Medical Center of the PLA General Hospital, Beijing, China
- 2Medical school of Chinese PLA, Beijing, China
- 3Hainan Branch of People's Liberation Army General Hospital, Sanya, China
- 4National Center for Nanoscience and Technology, Chinese Academy of Sciences (CAS), Beijing, Beijing Municipality, China
- 5Nanjing University, Nanjing, Jiangsu Province, China
- 6School of Medicine, Nankai University, Tianjin, China
- 7The 80th Group Army Hospital of the Chinese People's Liberation Army, Weifang, Shandong Province, China
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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 in vitro.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., S100A4) and immunosuppressive pathways. Meta-Programs (MPs) analysis identified a hypoxia-driven fibroblast state (MP5) containing S100A4 that correlated with treatment resistance. In vitro experiments, S100A4 co-localized with α-SMA+ fibroblasts and directly induced PD-L1 expression in tumor cells, linking CAFs secreted S100A4 to immunosuppressive PD-L1 upregulation.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.
Keywords: Neoadjuvant Therapy, Cross-cancer atlas, Tumor Microenvironment, single-cell RNA sequencing, S100A4
Received: 17 Apr 2025; Accepted: 07 Jul 2025.
Copyright: © 2025 Yang, Chen, Zu, Yao, Ren, Lin, Zhang, Ji and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Ruiji Chen, Hainan Branch of People's Liberation Army General Hospital, Sanya, China
Tianjiao Ji, National Center for Nanoscience and Technology, Chinese Academy of Sciences (CAS), Beijing, 100190, Beijing Municipality, China
Yang Liu, The First Medical Center of the PLA General Hospital, Beijing, China
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