Testicular seminoma genes due to identified a comprehensive in-silico analysis

Testicular seminoma genes and signaling pathways were identified through a comprehensivebioinformatics analysis. Based on a GSE۵۷۹۲۴ dataset, we examined the expression of genessignificantly associated with testicular seminoma (CO) in the LE versus ORL gubernaculum groupsat the GD۱۷ and GD۱۹ stages. Adjusting the cut-off to ۰.۵ and p ۰.۰۵ in order to identify otherDEGs that were up- or down-regulated between groups allowed us to identify other DEGs that wereup- or down-regulated between the groups. Gene ontology (GO) and pathway enrichment analyseswere performed on the DEGs identified by DAVID, followed by the construction of protein-proteininteraction networks using Cytoscape. MCODE was used to detect functional hub genes. Ouranalysis revealed ۱۴۷ DEGs between the LE and ORL gubernaculum groups, of which ۳۳ geneswere upregulated (۳۰ genes always downregulated and ۱۲ genes that had been downregulated inGD۱۷ but were upregulated in GD۱۹), while ۹۵ genes were downregulated (۳۰ genes alwaysdownregulated and ۷۰ genes that were upregulated in GD۱۷ but then downregulated in GD۱۹). Asrevealed by Gene Ontology (GO), the most abundant biological processes and cellular componentswere adhesion and extracellular matrix, while the ECM-receptor interaction was the most significantpathway. A significant association between CO and seven hub genes was found in the PPI network.As a result of this study, we were able to identify seven molecular markers that provide valuableinsight into the molecular mechanism of testicular seminoma. Interestingly, one of the genes wasfound to be significantly differentially expressed in human testicular cancer.

Keywords:

pathway , Testicular seminoma , testicular cancer , gene