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

Maryam  Eini; Sepideh  Parsi; Mahmood  Barati; Golnaz Bahramali; Marziyeh  Alizadeh Zarei; Jafar  Kiani; Assad  Azarnezhad; Arshad  Hosseini

doi:10.18502/ajmb.v14i2.8882

Maryam Eini Department of Biotechnology, Faculty of Allied Medicine, Iran University of Medical Science, Tehran, Iran
Sepideh Parsi Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School Worcester,MA, USA
Mahmood Barati Department of Biotechnology, Faculty of Allied Medicine, Iran University of Medical Science, Tehran, Iran
Golnaz Bahramali Pasteur Institute of Iran, Tehran, Iran
Marziyeh Alizadeh Zarei Gametogenesis Research Center, Kashan University of Medical Science, Kashan, Iran
Jafar Kiani Department of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
Assad Azarnezhad Liver and Digestive Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
Arshad Hosseini Department of Biotechnology, Faculty of Allied Medicine, Iran University of Medical Science, Tehran, Iran

DOI: https://doi.org/10.18502/ajmb.v14i2.8882

Keywords: Bioinformatics, Breast cancer, Cell cycle, miR-802, Prognosis, Wnt signaling, Jafar Kiani

Abstract

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.