Therapeutic implications of cancer-associated fibroblast heterogeneity: insights from single-cell and multi-omics analysis.

ABSTRACT:

Background

Cancer-associated fibroblasts (CAFs) are essential components of the tumor microenvironment (TME), contributing to tumorigenesis, progression, and resistance to therapy. However, the functional diversity of CAF subpopulations and their role in tumor progression and patient prognosis remain poorly understood. This study aims to explore CAF heterogeneity and their functional roles in the TME using single-cell RNA sequencing (scRNA-seq) and multi-omics data analysis.

Methods

scRNA-seq data were analyzed to cluster CAF subpopulations in the TME, with key genes identified through functional annotation. Differentially expressed genes were analyzed, and prognostic genes were selected via Cox and LASSO regression. A risk score model (RiskScore) was developed for survival

SUBMITTER: Wang Y 

PROVIDER: S-EPMC12206818 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature