Identification of Genes and Pathways Associated with Depression in Ovarian Cancer Patients: An In-silico Study

Depression plays an important role in causing pathophysiological changes in the tissue andincreases the complexity of ovarian cancer pathology. We reconstructed and analyzed the miRNAmRNAregulatory interactions for a better understanding of ovarian cancer-related depression. Weidentified the differentially expressed genes between depressed and non-depressed ovarian cancergroups and removed ovarian cancer-related genes. Then reconstruct a PPI and cluster it into modules.Inter-module miRNA-mRNA regulatory networks were studied, and analyzed their gene ontology. Theovarian cancer-related depression had ۸۷۵ genes. The hubs in Regulatory modules were CTNNB۱,HRAS, CDH۱, CD۸A, SMAD۴, CCL۲, and miR-۲۰۰a, miR-۱۲۴-۳p, miR-۱۹۴-۵p, let-۷b-۵p that playa role in ovarian cancer-related depression pathways like neurotransmitter release cycle andinflammation. The results of this study can provide insight into the pathomechanism of ovarian cancerrelateddepression.

کلیدواژه ها:

microRNA-mRNA interaction ، network analysis ، ovarian neoplasm ، molecular psychiatry ، depression etiology