Understanding of hsa-mir-363-3p role in breast cancer process by bioinformatics analysis

Understanding of hsa-mir-363-3p role in breast cancer process by bioinformatics analysis
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
4. Department of Biochemistry, Islamic Azad University, Najafabad Branch, Iran
Introduction: Among the common malignancies, breast cancer assumes to have a high rank in the Females. according to the surveys it has been revealed that early diagnosis of breast cancer has a significant role in the inhibition of progression and development of breast cancer. moreover , it has been recognize that different factors could have impact on breast cancer diagnosis and treatment , such as micro-RNAs (small non-coding RNAs) and SNP(single nucleotide polymorphisms).according to the mentioned information , hsa-mir-363-3p , which is located on chromosome X , was selected for the further bioinformatics analysis.
Methods: To perform a wide range of bioinformatics analysis miRBase , miRTarbase , miRWalk , TargetScan , DIANA TOOLS, miRSNPdb, miRdSNP , miRNASNP , DAVID, GeneMANIA databases, GraphPad Prsim 8.0 , databases and R a programming language, were selected to obtain essential data about micoRNA basis , validated and predicted target genes , genes' expression , SNP , signaling pathways and genes' interaction network .
Results: The bioinformatics analysis of this survey has been revealed that has-mir-363-3p and its target genes named PIK3CD, PIK3R3, PIK3R1, NRAS of cAMP, ERBB, Focal adhesion and Regulating of actin cytoskeleton signaling pathways could affect the breast cancer process. Also, rs870266 in GPR85, a predicted target gene, have been recognized as a potential biomarker in breast cancer. Thus, further analysis in order to early diagnosis of breast cancer is highly recommended. In addition, genes’ expression analysis via heatmap method, showed that PIK3R3 gene of hsa-mir-363-3p, probably assigns the largest difference in its expression among solid tissue normal and primary solid tumor, which remarks PIK3R3 as a potential target for the breast cancer early diagnosis.
Conclusion: Analysis of Focal adhesion, ERBB, cAMP and Regulation of actin cytoskeleton signaling pathways, showed cell proliferation, migration, invasion and angiogenesis processes in breast cancer via the activation of PIK3CD, PIK3R3, PIK3R1, NRAS which they are activated by a cascade of genes. Thus, the function prevention of the mentioned genes results in suppression of the pathways and noted the tumor suppressor role of hsa-mir-363-3p in breast cancer process. For the better understating of hsa-mir-363-3p role in breast cancer, the investigation of rs870266 role in this cancer, is needed.
Keywords: Bioinformatics, miRNA, SNP, Breast cancer, Signaling pathway