Bioinformatics study to determine key biomarkers in prostate cancer

The importance of effective treatment for prostate cancer cannot be ignored. Maintaining the quality oflife of people with this common type of cancer is vital. Identifying new treatments through modern sciences such as bioinformatics is essential and provides the possibility of personalized medical programs tailored to individual needs. In addition, these advances can help develop preventive measures that can ultimately reduce the risk of developing this type of cancer. We downloaded the GSE55945 gene expression data set from NCBI-GEO and analyzed thedifferentially expressed genes (DEG). The role of genes in biological processes, and the enrichment pathways of genes in the Enrichr database are displayed by the Kyoto Encyclopedia of Genes and Genomes (KEGG), Reactome, Bioplanet, etc. Also, protein-protein (PPI) networks drawn and discussed. A total of 7 hub or key genes, including CAV1, MYLK, CACNA1D, CALM1, NOX4, CCK, and AOX1, were identified. Analyzes related to molecular processes showed that most genes with differential expression are involved in the "mechanism of drug metabolism". Also, the results showedthat the molecular function of most genes is related to "G-protein dependent", and "inositol phosphatemetabolism" processes. DEGS, key genes and signaling pathways identified in this study may help to understand the molecularmechanisms of prostate cancer and provide possible targets diagnosing and treating this disease.