Ontology highlight
ABSTRACT: Background
Prostate cancer (PCa) is a prevalent malignancy in men, and understanding its molecular mechanisms is crucial for identifying therapeutic targets.Methods
Transcriptomic data from prostate tumors and matched healthy tissues were obtained from The Cancer Genome Atlas (TCGA). Differential expression analysis using the DESeq2 algorithm identified differentially expressed genes (DEGs). Cox proportional hazards regression was used to evaluate prognostic significance. Clinical validation involved comparing tumor specimens with normal tissues, focusing on BAIAP2L2, which showed significant differential expression and was further examined via immunohistochemical analysis. In vitro knockdown experiments were conducted in PC3 and DU145 cell lines to assess BAIAP2L2's
SUBMITTER: Zhan X
PROVIDER: S-EPMC12066489 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature