Bioinformatics analysis of hsa-mir-141-3p target genes in ovarian cancer process

Bioinformatics analysis of hsa-mir-141-3p target genes in ovarian cancer process
Fatemeh Abedi dorcheh,^1,* Anasik Karabedianhajiabadi,² Alireza Nasr Isfahani,³ Setare Samizade,⁴
1. Department of Biochemistry, School of Bioscience and Biotechnology, Shahid Ashrafi University of Sepahanshahr, Isfahan, Iran
2. Department of Microbiology, School of Biological Sciences, Islamic Azad University of Falavarjan, Iran
3. Department of Biochemistry, Islamic Azad University, Najafabad Branch, Iran
4. Department of Biochemistry, Islamic Azad University, Najafabad Branch, Iran
Introduction: These days, ovarian cancer is one of the common cancers in the world. There are many factors contributing to the aggravation of this cancer. This disease is also consisting as an inherited disease, so genetic factors may be able to increase to risk of cancer progression. According to the researches, miRNAs (small non-coding RNAs) and SNPs (single nucleotide polymorphisms) might develop the chance of ovarian cancer. The aim of this study is to diagnose a biomarker for the early detection of this cancer. Based on bioinformatics analysis, hsa-mir-141-3p of chromosome 12, was Chosen for this study.
Methods: Bioinformatics analysis of this study have been done by using miRbase, miRTarbase, miRWalk, TargetScan, DIANA TOOLS, DAVID, miRdSNP, miRNASNP, miRSNPdb, GeneMANIA databases and Cytoscape 3.8.0 software to get required data about micoRNA basis, validated and predicted target genes, genes' expressions, signaling pathways, SNP and genes' interaction networks.
Results: Based on hsa-mir-141-3p target genes, it has been revealed that KRAS, FGFR1, GRB2, MAPK8, PDGFRA, PDGFRB and PRKCA are considered as the most frequent genes which has vital role in Ras, PI3K-AKT and MAPK signaling pathways, that all show the same pattern in the ovarian cancer. Moreover, occurrence of rs3720 in KPNA3, a target gene, might have impact on the ovarian cancer progression, which in order to discover the exact role of this SNP in ovarian cancer, the further analysis is needed.
Conclusion: According to the surveys GRB2 gene, which has been operated by RTK cell surface receptors, activates Ras gene. By activation of KRAS gene that changes PIP2 to PIP3 during activation of cascade of genes, MAPK1 gene starts its function to agitate other genes that result in cell proliferation, differentiation and angiogenesis indirectly. Under various circumstances, activation of MAPK8 was shown to trigger cell inflammation indirectly. Accordingly, all foresaid genes, targets of the microRNA, leading to cancer. Evidences suggest that all the mentioned events help cell differentiation and proliferation, that outcome in ovarian cancer excessing which cause the metastatic process of ovarian cancer indirectly. Thus, hsa-mir-141-3p acts as tumor suppressor by inhibiting cell proliferation and differentiation. These findings might provide a promising therapy -for clinical treatment of ovarian cancer.
Keywords: Ovarian cancer, Bioinformatics, miRNA, SNP, Signaling pathways