A promising Prognostic risk model for advanced renal cell carcinoma (RCC) with immune-related genes.

ABSTRACT:

Background

Renal cell carcinoma (RCC) is a third most common tumor of the urinary system. Nowadays, Immunotherapy is a hot topic in the treatment of solid tumors, especially for those tumors with pre-activated immune state.

Methods

In this study, we downloaded genomic and clinical data of RCC samples from The Cancer Genome Atlas (TCGA) database. Four immune-related genetic signatures were used to predict the prognosis of RCC by Cox regression analysis. Then we established a prognostic risk model consisting of the genes most related to prognosis from four signatures to value prognosis of the RCC samples via Kaplan-Meier (KM) survival analysis. An independent data from International Cancer Genome Consortium (ICGC) database were used to test the predictive stability of the mode

SUBMITTER: Cao P 

PROVIDER: S-EPMC9229885 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature