Literature DB >> 34238177

Association Between miR-146a rs2910164 Polymorphism and Breast Cancer Susceptibility: An Updated Meta-Analysis of 9545 Cases and 10030 Controls.

Abdolkarim Moazeni-Roodi1, Sajjad Aftabi2, Sahel Sarabandi3, Shima Karami3, Mohammad Hashemi4, Saeid Ghavami5, Mohsen Taheri6.   

Abstract

BACKGROUND: Several studies have reported a possible association of miR-146a rs2910164 polymorphism with Breast Cancer (BC) development. However, the correlation between this polymorphism and susceptibility to BC is under debate. The current meta-analysis was designed and performed to more conclusively evaluate the miR-146a rs2910164 polymorphism and its potential link to BC.
METHODS: Our team has selected eligible studies (published up to October 2, 2020) from several electronic databases, including Web of Science, PubMed, Scopus and Google Scholar. A total number of 9,545 BC cases and 10,030 controls extracted from 26 eligible articles were included in this study. We utilized pooled Odds Ratios (ORs) as well as 95% confidence intervals (95% CIs) under five genetic models for quantitative estimation of any possible association between miR-146a rs2910164 polymorphism and BC.
RESULTS: Based on this meta-analysis, our findings suggest that there is no significant association between miR-146a rs2910164 polymorphism and BC risk. However, stratified analysis revealed that the rs2910164 polymorphism significantly increased the risk of BC in hospital-based studies using the homozygous genetic model (OR=1.37, 95%CI=1.01-1.86, p=0.043, CC vs. GG). Neither Asian nor Caucasian populations showed any significant association between rs2910164 polymorphism and BC susceptibility.
CONCLUSION: In summary, our findings suggest that BC development is not associated with miR-146a rs2910164 polymorphism. However, larger ingenious future investigations might be needed for a more precise estimation of any association between miR-146a rs2910164 polymorphism and BC. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  Breast cancer; meta-analysis; mir-146a; odd ratios; polymorphism; single nucleotide polymorphisms (SNPs

Mesh:

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Year:  2021        PMID: 34238177     DOI: 10.2174/2211536610666210707113229

Source DB:  PubMed          Journal:  Microrna


  1 in total

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Authors:  Taqweem Ul Haq; Abdul Zahoor; Yasir Ali; Yangchao Chen; Fazal Jalil; Aftab Ali Shah
Journal:  Genes (Basel)       Date:  2022-04-24       Impact factor: 4.141

  1 in total

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