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

Molecular Biology Reports volume 40, pages 3003–3013 (2013)Cite this article

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.

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Acknowledgments

The authors are most grateful to all the participants in the present study. This study was supported by grant no.81102194 from National Natural Science Foundation of China. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Conflict of interest

The authors declared that no competing interests exist.

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Affiliations

  1. Department of Epidemiology, School of Public Health, China Medical University, Shenyang, 110001, People’s Republic of China

    Zhihua Yin, Xuelian Li, Yangwu Ren & Baosen Zhou

  2. Key Laboratory of Cancer Etiology and Prevention (China Medical University), Liaoning Provincial Education Department, Shenyang, 110001, People’s Republic of China

    Zhihua Yin, Xuelian Li, Yangwu Ren & Baosen Zhou

  3. Department of Medical Informatics, China Medical University, Shenyang, 110001, People’s Republic of China

    Lei Yan

  4. China Medical University, Shenyang, 110001, People’s Republic of China

    Zhigang Cui

  5. Department of Epidemiology, Key Laboratory of Cancer Etiology and Intervention, China Medical University, University of Liaoning Province, No. 92, North Second Road, Heping District, Shenyang, 110001, People’s Republic of China

    Baosen Zhou

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  1. Zhihua Yin
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  2. Lei Yan
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  3. Zhigang Cui
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  4. Xuelian Li
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Correspondence to Baosen Zhou.

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Yin, Z., Yan, L., Cui, Z. et al. Effects of common polymorphisms rs2910164 in miR-146a and rs3746444 in miR-499 on cancer susceptibility: a meta-analysis. Mol Biol Rep 40, 3003–3013 (2013). https://doi.org/10.1007/s11033-012-2372-7

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  • DOI: https://doi.org/10.1007/s11033-012-2372-7

Keywords

  • Lung cancer
  • MicroRNA
  • Single nucleotide polymorphism
  • Susceptibility
  • Meta-analysis