Identification and validation of prognostic biomarkers in ccRCC: immune-stromal score and survival prediction.

ABSTRACT:

Background

The tumor microenvironment (TME) is integral to tumor progression. However, its prognostic implications and underlying mechanisms in clear cell renal cell carcinoma (ccRCC) are not yet fully elucidated. This study aims to examine the prognostic significance of genes associated with immune-stromal scores and to explore their underlying mechanisms in ccRCC.

Methods

Data from the Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) were subjected to analysis to compute immune and stromal scores utilizing the ESTIMATE algorithm. The weighted gene co-expression network analysis (WGCNA) was employed to identify gene modules associated with these scores. Differentially expressed genes were assessed using the limma package. Prognostic biomarkers we

SUBMITTER: Lyu F 

PROVIDER: S-EPMC11771106 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature