Analysis of microarray associated with metabolite interconversion enzyme in prostate cancer

Prostate cancer (PCa) is a complex disease influenced by metabolic alterations within the tumor microenvironment. This study investigates the role of metabolite interconversion enzymes in PCa by analyzing differentially expressed genes (DEGs) using multiple gene expression datasets from the Gene Expression Omnibus (GEO). A total of ۵۴۴ DEGs were identified, with key metabolite interconversion enzymes—including CYP۳A۵, PDE۸B, AOX ۱, BNIPL, FADS۲, RRM۲, ALDH۳B۲, and GSTM۲—showing significant differential expression. Functional classification of these genes revealed their involvement in critical biological processes such as oxidation-reduction, hydrolase activity, and molecular transferase functions. Gene co-expression analysis, protein-protein interaction (PPI) network construction, and regulatory network analysis further demonstrated the intricate interactions between these enzymes and key oncogenes and tumor suppressor genes. Enrichment analysis using Gene Ontology (GO) and KEGG pathways highlighted their involvement in metabolic pathways that contribute to tumor progression. Additionally, hub genes with high connectivity were identified, underscoring their potential as biomarkers or therapeutic targets. The findings of this study provide valuable insights into the metabolic reprogramming of PCa, offering new perspectives for biomarker discovery and targeted therapeutic interventions. Further experimental validation is needed to confirm the clinical relevance of these genes in prostate cancer diagnosis and treatment.