Single-cell transcriptomics identifies SOCS3+ exhausted T cells as a biomarker facilitating clear cell renal cell carcinoma progression.

ABSTRACT: Clear cell renal cell carcinoma (ccRCC), a prevalent renal malignancy with limited early symptoms, demonstrates immunotherapy sensitivity in advanced stages. This study investigates how exhausted T cells drive ccRCC progression through single-cell transcriptomics. Re-analysis of a single-cell transcriptomic dataset was performed through dimensionality reduction and clustering to annotate cells into distinct populations, followed by comprehensive characterization of cellular composition and subset-specific features. Prognostically relevant genes were identified via differential gene expression (DGE) analysis, and a nomogram prediction model was constructed using Cox regression analysis, with validation through Kaplan-Meier (KM) survival curves and risk score plots. Functional annotation of

SUBMITTER: Jiang X 

PROVIDER: S-EPMC12628387 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature