Single cell analysis reveals cancer associated fibroblast subtypes as prognostic markers and therapeutic targets in gastric cancer.

ABSTRACT:

Objectives

Cancer-associated fibroblasts (CAFs) play a pivotal role in Gastric cancer (GC) progression and immune modulation. This study aimed to identify CAF subtypes using single-cell analysis and evaluate their prognostic and therapeutic relevance in GC.

Methods

CAF gene sets were derived from 13 single-cell datasets and quantified via ssGSEA in bulk transcriptomic cohorts (TCGA and GEO). Consensus clustering defined CAF-based subtypes. Immune infiltration was evaluated using CIBERSORT, xCell, MCPcounter, and ESTIMATE. Immunotherapy response was predicted using TIDE and ImmuCellAI. Chemotherapeutic sensitivity was assessed via PRISM, CTRP, and GDSC databases. Hub genes were identified by WGCNA, and a prognostic model was constructed and validated in external cohorts and a

SUBMITTER: Li D 

PROVIDER: S-EPMC12858713 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature