The Spatiotemporal Heterogeneity of Tumor-Associated Stromal Cells: Reprogramming Plasticity to Unlock Precision Cancer Immunotherapy
Year: 2026
Type: article
Abstract: Tumor-associated stromal cells (TASCs) are key architects of the tumor microenvironment (TME), playing a vital role in tumor development, metastasis, and therapeutic response. Their spatiotemporal heterogeneity, characterized by dynamic phenotypic plasticity, diverse cellular subtypes, and distinct spatial distributions, offers profound insights into tumor behavior and paves the way for innovative therapy development. In particular, stromal-immune interactions reveal the powerful capacity of TASCs to shape the immune landscape, highlighting their potential as targets in immunotherapy. Despite growing evidence in functional diversity, precise mechanisms underlying the temporal evolution and spatial organization of TASCs remain elusive, impeding clinical translation. This review delved into the molecular signatures and functional states of TASCs, emphasizing their roles in tumor dynamics and therapeutic resistance. We also discussed innovative strategies targeting the plasticity of TASCs to reverse immune evasion and potentiate immune-mediated tumor eradication. Future studies should prioritize identifying spatially resolved and mechanically defined biomarkers with multi-omics and machine learning approaches, enabling a comprehensive understanding of TASCs to bridge the gap from bench to bedside.
Source: 癌症:英文版
Institutions: Zhengzhou University, Third Affiliated Hospital of Zhengzhou University, First Affiliated Hospital of Zhengzhou University, Central South University, Second Xiangya Hospital of Central South University, Zhujiang Hospital, Southern Medical University, Xiangya Hospital Central South University, Hebei Medical University, Chinese Academy of Medical Sciences & Peking Union Medical College, Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,080
OpenAlex ID: W7119480597
