By bioinformatic analyses including GO/KEGG enrichment, PPI network, hub gene identification, and module analysis, the current study validated KLK3, CDHI, FOXA1, and EPCAM might potentially serve as effective and reliable molecular biomarkers for diagnosis of PCa; and ABCC4 and SLPI might be utilized as prognostic indicators of PCa. The gene discussed is EPCAM; the disease is posterior cortical atrophy.