Bioinformatic Investigation of Micro RNA-802 Target Genes, Protein Networks,and Its Potential Prognostic Value in Breast Cancer

Background: an increasing number of studies have suggested that unveiling the mo-lecular network of mirnas may provide novel therapeutic targets or biomarkers. in this study, we investigated the probable molecular functions that are related to mi-crorna-802 (mir-802) and evaluated its prognostic value in breast cancer utilizing bioinformatics tools. methods: ppi network, pathway enrichment and transcription factor analysis were applied to obtain hub genes among overlapping genes of four mirna target predic-tion databases. prognosis value assessments and expression analysis of hub genes using bioinformatics tools, as well as their literature validation were performed. results: our results showed a significant correlation of the mir-802 overexpression with poor patient survival rate (bc, p=2.7e-5). we determined 247 target genes signif-icant for go and kegg terms. analysis of tfs by trust showed that runx3, foxo3, and e2f1 are possible tfs that regulate the mir-802 expression and target genes network. according to our analysis; 21 genes might have an important function in mir-802 molecular processes and regulatory networks. the result shows that among these 21 genes, 8 genes (casc3, itga4, ago3, tardbp, med13l, sf1, snrpe and crnkl1) are positively correlated with patient survival. therefore these genes could be considered and experimentally evaluated as a prognostic biomarker for breast cancer. conclusion: the comprehensive bioinformatics study on mir-802 target genes provid-ed insight into mir-802 mediated pathways and processes. furthermore, representing candidate target genes by prognostic values indicates the potential clinical applica-tion of mir-802 in breast cancer.