Purpose: To investigate the potential relationship between differential gene expression, biological function enrichment, and disease prognosis affecting the sensitivity of prostate cancer radiotherapy by bioinformatics analysis.
Materials and methods: Retrieve and obtain data on differential gene expression of prostate cancer radiosensitivity in the GEO database (GSM3954350, GSM3954351, GSM3954352), GER2 tool to screen and analyze the differential genes, Enrichr database for enrichment analysis of GO and KEGG, use Cytoscape software builds protein-protein interaction (PPI) networks and analyzes key genes.
Results: A total of 7041 differentially expressed genes were screenedout, including 3842 high expression genes and 3199 low expressed genes. The top 20 differentially expressed genes were selected for further analysis. Their biological functions are mainly enriched in the following aspects: "Cell communication" and "Signal transduction"; cytological components are mainly located outside the cell; molecular functions are enriched in structural molecular activity, receptor binding, serine-like peptidase activity, etc. The KEGG enrichment analysis showed that the differentially expressed genes were mainly enriched in the mismatch repair pathway, non-homologous terminal binding pathway and so on. Survival analysis showed that VGF gene was associated with the prognosis of prostate cancer patients receiving radiotherapy, and high expression of VGF significantly reduced progression-free survival(PFS) in these patients(HR = 4.84, 95% CI: 1.34-17.5, P = .016).
Conclusion: This study identified key genes associated with radiation sensitivity in prostate cancer and verified the relationship between the VGF gene and patient prognosis.