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ABSTRACT: Introduction
Prostate cancer (PCa) remains a significant global health challenge despite advancements in treatment strategies. There is a need to explore the molecular heterogeneity of PCa to facilitate the development of personalized treatment approaches. This study investigates the molecular heterogeneity of PCa by combining genomic and transcriptomic data using a systems biology approach.Methods
By utilising whole-genome sequencing and differentially expressed genes from "The Cancer Genome Atlas Prostate Adenocarcinoma (TCGA-PRAD)" patient samples, we identified 357 intersecting genes. From protein-protein interaction network analysis, 22 hub genes were identified as critical regulators associated with PCa prognosis and pathogenesis. Furthermore, these hub genes were sub
SUBMITTER: Chitluri KK
PROVIDER: S-EPMC12321844 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature