Predicting Mir-99a Target Genes and Identifying Key Pathways and Hub Genes in Breast Cancer Using Bioinformatics Analysis

Background and aim: breast cancer (bc) is the main reason for deaths between females. bc affected by various factors such as non-coding rnas. micrornas (mirnas) are a class of small noncoding rna that play important roles in normal and disease condition. nevertheless, the exact mechanism by which mirnas regulate bc development remains unknown. bioinformatics prediction tools are very valuable to facilitate for selecting putative target genes involved in cancer progression. here, we aimed to identify the mir-99a-correlated principal regulatory mechanism in bc.methods: target genes of mir-99a were predicted by mirnet, mirmap, mirdb, and targetscan. by using an integrated mirna prediction process, 98 common targets identified and established a protein-protein interaction network by string database. moreover, enrichment analyses were performed to define the potential mir-99a pathway and function. then hub genes in the networks were shown by cytoscape. finally, hub genes evaluated for the bc pathway.results: the enriched functions and kegg pathway analysis proposed that the target genes were enriched in regulating pluripotency of stem cells, mtor signaling pathway, and autophagy. from the ppi network, 119 hub genes were identified that involved in the mitotic cell cycle, wnt signaling, tgf-beta signaling pathway, and g1/s transition. finally, rps6, ubb, rpl37a, and eif5a gene were displayed due to their correlation bc.conclusion: this study identified the hub genes and potential molecular mechanisms mir-99a related to the development of bc, which could provide new insight for bc interventional strategies.