Integrative Analysis of GEO Datasets and Mendelian Randomization Reveals a Potential Role ofISOC1 in Renal Cell Carcinoma.

ABSTRACT: Background: Renal cell carcinoma (RCC) is a leading malignancy of the urinary system, with clear cell RCC (ccRCC) being the most prevalent subtype. Despite advances in treatment, the prognosis of advanced RCC remains poor, and the molecular mechanisms underlying its pathogenesis are not fully understood. Methods: This study utilized multiple renal cancer cohorts from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs). By integrating Mendelian randomization (MR) analyses of expression quantitative trait loci (eQTL) and protein quantitative trait loci (pQTL), we investigated causal associations between candidate genes and RCC. Immune infiltration, drug sensitivity, and survival analyses were performed to further explore functional signi

SUBMITTER: Wang J 

PROVIDER: S-EPMC12595268 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature