Jahrom University of Medical Sciences Pars Journal of Medical Sciences 2717-0284 21 3 2024 01 21 Bioinformatics study to determine key biomarkers in prostate cancer Bioinformatics study to determine key biomarkers in prostate cancer 50 58 710080 10.22034/pjms.2024.710080 FA Mohsen Safaei Department of Tissue Engineering, School of Advanced Technologies in Medicine, Fasa University of Medical Sciences, Fasa, Iran Zahra Abpeikar Department of Tissue Engineering, School of Advanced Technologies in Medicine, Fasa University of Medical Sciences, Fasa, Iran Ahmad Reza Farmani Department of Tissue Engineering, School of Advanced Technologies in Medicine, Fasa University of Medical Sciences, Fasa, Iran 0000-0003-1149-3843 Seyed Amin Kouhpayeh Department of Pharmacology, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran Mohammad Hassan Jafari Najaf Abadi Research Center for Health Technology Assessment and Medical Informatics, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran Arash Goodarzi Department of Tissue Engineering, School of Advanced Technologies in Medicine, Fasa University of Medical Sciences, Fasa, Iran Journal Article 2023 12 09 Introduction: The importance of effective treatment for prostate cancer cannot be ignored. Maintaining the quality of<br />life 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.<br />Materials and Methods: We downloaded the GSE55945 gene expression data set from NCBI-GEO and analyzed the<br />differentially 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.<br />Results: 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 showed<br />that the molecular function of most genes is related to "G-protein dependent", and "inositol phosphate<br />metabolism" processes.<br />Conclusion: DEGS, key genes and signaling pathways identified in this study may help to understand the molecular<br />mechanisms of prostate cancer and provide possible targets diagnosing and treating this disease. Introduction: The importance of effective treatment for prostate cancer cannot be ignored. Maintaining the quality of<br />life 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.<br />Materials and Methods: We downloaded the GSE55945 gene expression data set from NCBI-GEO and analyzed the<br />differentially 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.<br />Results: 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 showed<br />that the molecular function of most genes is related to "G-protein dependent", and "inositol phosphate<br />metabolism" processes.<br />Conclusion: DEGS, key genes and signaling pathways identified in this study may help to understand the molecular<br />mechanisms of prostate cancer and provide possible targets diagnosing and treating this disease. https://jmj.jums.ac.ir/article_710080_afa3a8d6f8b24daa6c4080a3c688baaa.pdf