Developing prognostic models for cholesterol-related genes linked with immune infiltration in prostate cancer.

ABSTRACT:

Background

Prostate cancer has a high incidence and a low 5-year survival rate. We aimed to combine cholesterol- and immune-related genes to screen prostate cancer prognosis-related genes and construct a prognostic risk model.

Methods

We obtained publicly released clinical data of prostate cancer through The Cancer Genome Atlas. Cholesterol- and immune-related genes were separately collected from the mSigDB and ImmPort databases. The prognostic model based on the immune-cholesterol-related differentially expressed mRNAs (DEmRNAs) network was constructed by univariate and multivariate Cox regression methods. Gene set enrichment analysis (GSEA), mutation landscape analysis, and immune infiltration analysis were carried out to investigate the role of immune-cholesterol-related

SUBMITTER: Wu J 

PROVIDER: S-EPMC12510679 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature