The Polymorphism of miR-146a (rs2910164) and Breast Cancer Risk: A Meta-Analysis of 17 Studies

Maryam Moossavi; Maryam Shojaee; Mahsa Musavi; Reza Ibrahimi; Mostafa Ibrahimi; Milad Khorasani

doi:10.2174/2211536609666201125115019

The Polymorphism of miR-146a (rs2910164) and Breast Cancer Risk: A Meta-Analysis of 17 Studies

Microrna. 2020;9(4):310-320. doi: 10.2174/2211536609666201125115019.

Authors

Maryam Moossavi¹, Maryam Shojaee², Mahsa Musavi³, Reza Ibrahimi⁴, Mostafa Ibrahimi⁵, Milad Khorasani⁶

Affiliations

¹ Student Research Committee, Birjand University of Medical Sciences, Birjand, Iran.
² Department of Biology, Payame Noor University of Mashhad, Iran.
³ Department of Biostatistics & Epidemiology, Hamadan University of Medical Sciences, Hamadan, Iran.
⁴ Research Committee Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
⁵ Department of Clinical Biochemistry, Tarbiat Modares University, Tehran, Iran.
⁶ Department of Biochemistry and Nutrition, School of Medicine, Gonabad University of Medical Sciences, Gonabad, Iran.

PMID: 33238873
DOI: 10.2174/2211536609666201125115019

Abstract

Background: Single-Nucleotide Polymorphisms (SNPs) in genes responsible for coding microRNAs (miRNAs) are shown to be crucial in progression of Breast Cancer (BC).

Objective: The purpose of this meta-analysis is to obtain more definitive and reliable results due to the ambiguity and inconsistency of the previous findings in this regard. This study aimed at clarifying the association of mir14a polymorphisms with breast cancer.

Methods: We searched PubMed, EMBASE, Web of Science and Google Scholar databases for papers published before August 10, 2019. Afterward, genotypes' distribution, genotyping methods and ethnicity groups were extracted and Overall analyses were conducted. A total number of seventeen researches on 7676 subjects and 7476 controls were found to meet our criteria in this meta-analysis.

Results: Our observations confirmed the increased risk in breast cancer with rs 2910164 polymorphism in three genetic models: allele contrast fixed genetic model, Recessive fixed genetic model and CC vs. GG genetic model (P value 0.0109, 0.0404 and 0.0019, respectively).

Conclusion: The rs2910164 polymorphism is associated with increased breast cancer risk. We suggest that more multicenter studies with larger samples investigate this matter to further clarify the association and verify our findings.

Keywords: Breast cancer; Mir 146a; meta-analysis; polymorphism; rs2910164; single-nucleotide polymorphisms.

Publication types

Meta-Analysis
Research Support, Non-U.S. Gov't

MeSH terms

Alleles
Breast Neoplasms / genetics*
Female
Genetic Association Studies
Genetic Predisposition to Disease / genetics*
Genotype
Humans
MicroRNAs / genetics*
Polymorphism, Single Nucleotide / genetics
Risk
Risk Factors

Substances

MIRN146 microRNA, human
MicroRNAs