Mitochondrial energy metabolism genes as prognostic biomarkers in clear cell renal cell carcinoma via single-cell and bulk RNA sequencing analyses.

ABSTRACT: The rising incidence of clear cell renal cell carcinoma (ccRCC) with current treatments offering limited survival benefits and a poor prognosis. Mitochondrial abnormalities impact tumor immunity, progression, and metastasis, and the role of mitochondrial energy metabolism-related genes (MMRGs) in ccRCC remains largely unexplored. This study analyzed TCGA-KIRC, GSE159115, and GSE29609 datasets to identify differentially expressed (DE) MMRGs and their functions. It used LASSO and Cox models to select prognostic MMRGs for model building, created a nomogram (based on independent factors) in TCGA-KIRC (evaluated via calibration and ROC curves), and conducted GSEA, immune cell correlation analyses, TF-miRNA-mRNA network studies, qRT-PCR (ccRCC vs. controls), and WB (RIPA) for biomarker validatio

SUBMITTER: Peng Y 

PROVIDER: S-EPMC12799841 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature