Avicenna J Med Biotech

arij002

Avicenna Journal of Medical Biotechnology

2008-2835 2008-4625

Avicenna Research Institute

ajmb60498

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

Eini

Maryam

Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran

Parsi

Sepideh

Barati

Mahmoud

Bahramali

Golnaz

Alizadeh Zarei

Marziyeh

Kiani

Jafar

Azarnezhad

Asaad

Department of Pharmaceutical Biotechnology and Isfahan Pharmaceutical Research Center, Faculty of Pharmacy, Isfahan University of Medical Sciences, Isfahan, Iran

Hosseini

Arshad

Recombinant Lab, Department of Biochemistry, Faculty of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran

14 2 154 164 23 6 2021 22 1 2022

Background: An increasing number of studies have suggested that unveiling the molecular network of miRNAs may provide novel therapeutic targets or biomarkers. In this study, we investigated the probable molecular functions that are related to microRNA-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 prediction 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 significant 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 provided insight into miR-802 mediated pathways and processes. Furthermore, representing candidate target genes by prognostic values indicates the potential clinical application of miR-802 in breast cancer.