A novel bone metastasis-related gene signature for predicting prognosis, anti-androgen resistance, and drug choice in prostate cancer.

ABSTRACT:

Objective

Prostate cancer (PCa) often metastasizes to the bone, posing a significant clinical challenge. This study aims to develop a bone metastasis-related risk model for PCa.

Methods

Bone metastasis-related genes (BMRGs) were identified through a combination of differential gene expression analysis and WGCNA using GSE32269 and GSE77930 datasets. Consensus clustering analysis was employed to determine the significance of these genes in molecular subtyping of PCa. LASSO-Cox regression analysis was utilized to construct the bone metastasis-related prognostic gene signature (BMRPS). The predictive performance of BMRPS was assessed using ROC curves, Kaplan-Meier survival curves, and a predictive nomogram. The immune landscape heterogeneity of subgroups was analyzed using CIBER

SUBMITTER: Luo Y 

PROVIDER: S-EPMC11986555 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature