Identification of kidney renal clear cell carcinoma prognosis based on gene expression and clinical information.

ABSTRACT:

Background

Kidney renal clear cell carcinoma (KIRC) prognosis exhibits substantial heterogeneity even among patients with identical clinicopathological staging, reflecting the limitations of current classification systems. Therefore, the development of reliable prognostic tools may improve clinical evaluation of KIRC outcomes and facilitate personalized therapy optimization.

Methods

The KIRC data of GSE40435 and GSE46699 in the GEO database were immunologically grouped based on 29 immune gene sets through R language. At the same time, RNA sequencing data, clinical information and tumor mutation data of KIRC patients in the TCGA database were jointly processed to explore methods that facilitate clinicians to judge the prognosis of KIRC patients. Quantitative real-time PCR (qP

SUBMITTER: Zou X 

PROVIDER: S-EPMC12405253 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature