Molecular Biology Reports

, Volume 40, Issue 4, pp 3003–3013

Effects of common polymorphisms rs2910164 in miR-146a and rs3746444 in miR-499 on cancer susceptibility: a meta-analysis

  • Zhihua Yin
  • Lei Yan
  • Zhigang Cui
  • Xuelian Li
  • Yangwu Ren
  • Baosen Zhou
Article

DOI: 10.1007/s11033-012-2372-7

Cite this article as:
Yin, Z., Yan, L., Cui, Z. et al. Mol Biol Rep (2013) 40: 3003. doi:10.1007/s11033-012-2372-7

Abstract

MicroRNAs (miRNAs) are a class of new non-coding RNA, which may play a more important role in the pathogenesis of human cancers. Rs2910164 in miR-146a and rs3746444 in miR-499 are shown to be associated with increased/decreased cancer risk. We performed a meta-analysis to systematically summarize the possible association. We retrieved the relevant articles from PubMed databases. Studies were selected using specific inclusion and exclusion criteria. ORs and 95% CIs were calculated to access the strength of association between microRNA polymorphism and cancer risk. All analyses were performed using the Stata software. Twenty-nine studies were included in this meta-analysis. There were not significant associations between miR-146a rs2910164 and miR-499 rs3746444 polymorphisms with overall cancer risk. In the subgroup analysis by ethnicity, significantly affected cancer risks were found among Asians for both rs2910164 (GC vs. GG: OR = 0.89, 95% CI = 0.82–0.96; CC vs. GG: OR = 0.80, 95% CI = 0.66–0.97; GC + CC vs. GG: OR = 0.86, 95% CI = 0.76–0.97; C vs. G: OR = 0.91, 95% CI = 0.82–1.00) and rs3746444 (GG + AG vs. AA: OR = 1.21, 95% CI = 1.00–1.46). In the tumor type subgroup analysis, rs2910164 C allele decreased the risk of hepatocellular carcinoma (C vs. G: OR = 0.89, 95% CI = 0.80–1.00) and cervical squamous cell carcinoma (C vs. G: OR = 0.72, 95% CI = 0.62–0.84). The rs2910164 in miR-146a and the rs3746444 in miR-499 are likely to be associated with cancer risk.

Keywords

Lung cancerMicroRNASingle nucleotide polymorphismSusceptibilityMeta-analysis

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Zhihua Yin
    • 1
    • 2
  • Lei Yan
    • 3
  • Zhigang Cui
    • 4
  • Xuelian Li
    • 1
    • 2
  • Yangwu Ren
    • 1
    • 2
  • Baosen Zhou
    • 1
    • 2
    • 5
  1. 1.Department of Epidemiology, School of Public HealthChina Medical UniversityShenyangPeople’s Republic of China
  2. 2.Key Laboratory of Cancer Etiology and Prevention (China Medical University), Liaoning Provincial Education DepartmentShenyangPeople’s Republic of China
  3. 3.Department of Medical InformaticsChina Medical UniversityShenyangPeople’s Republic of China
  4. 4.China Medical UniversityShenyangPeople’s Republic of China
  5. 5.Department of Epidemiology, Key Laboratory of Cancer Etiology and InterventionChina Medical University, University of Liaoning ProvinceShenyangPeople’s Republic of China