Expression of Bioinformatically Candidate miRNAs including, miR-576-5p, miR-501-3p and miR-3143, Targeting PI3K Pathway in Triple-Negative Breast Cancer

Razie Hadavi; Samira Mohammadi-Yeganeh; Javad Razaviyan; Ameneh Koochaki; Parviz Kokhaei; Ahmadreza Bandegi

doi:10.31661/gmj.v8i0.1646

Expression of Bioinformatically Candidate miRNAs including, miR-576-5p, miR-501-3p and miR-3143, Targeting PI3K Pathway in Triple-Negative Breast Cancer

Galen Med J. 2019 Nov 10:8:e1646. doi: 10.31661/gmj.v8i0.1646. eCollection 2019.

Authors

Razie Hadavi^{1

2}, Samira Mohammadi-Yeganeh^{3

4}, Javad Razaviyan^{5

6}, Ameneh Koochaki⁷, Parviz Kokhaei⁸, Ahmadreza Bandegi^{9

1}

Affiliations

¹ Department of Biochemistry, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran.
² Student Research Committee, Semnan University of Medical Sciences, Semnan, Iran.
³ Medical Nanotechnology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
⁴ Department of Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
⁵ Department of Clinical Biochemistry, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
⁶ Department of Molecular Biology and Genetic Engineering, Stem Cell Technology Research Center, Tehran, Iran.
⁷ Cellular and Molecular Biology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
⁸ Cancer Research Center and Department of Immunology, Semnan University of Medical Sciences, Semnan, Iran.
⁹ Research Center of Physiology, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran.

Abstract

Background: Triple-negative breast cancer (TNBC) is an invasive and lethal form of breast cancer. PI3K pathway, which often activated in TNBC patients, can be a target of miRNAs. The purpose of this study was bioinformatic prediction of miRNAs targeting the key genes of this pathway and evaluation of the expression of them and their targets in TNBC.

Materials and methods: We predicted miRNAs targeting PIK3CA and AKT1 genes using bioinformatics tools. Extraction of total RNA, synthesis of cDNA and quantitative real-time polymerase chain reaction were performed from 18 TNBC samples and normal adjacent tissues and cell lines.

Results: Our results demonstrated that miR-576-5p, miR-501-3p and miR-3143 were predicted to target PIK3CA, AKT1 and both of these mRNAs, respectively and were down-regulated while their target mRNAs were up-regulated in clinical samples and cell lines. The analysis of the receiver operating characteristic curve was done for the evaluation of the diagnostic value of predicted miRNAs in TNBC patients.

Conclusion: The findings of our study demonstrated the reverse correlation between miRNAs and their target genes and therefore the possibility of these miRNAs to be proposed as new candidates for TNBC targeted therapies.

Keywords: AKT1; Bioinformatics; MicroRNA; PIK3CA; Triple Negative Breast Cancer.