Molecular Biology Reports

, Volume 40, Issue 1, pp 109–116 | Cite as

Quantitative assessment of the association between miR-196a2 rs11614913 polymorphism and gastrointestinal cancer risk

  • Fang Wang
  • Guo-Ping Sun
  • Yan-Feng Zou
  • Lu-Lu Fan
  • Bing Song


Published data on the association between miR-196a2 rs11614913 polymorphism and risk of gastrointestinal (GI) cancers are inconsistent among studies. To clarify the association, we performed a comprehensive literature search and a meta-analysis. We searched multiple databases to identify genetic association studies investigating the effect of miR-196a2 rs11614913 polymorphism on GI cancers with the last report up to January 18, 2012. The odds ratio (OR) and its 95 % confidence interval (95 % CI) were calculated to assess the strength of association. A total of 13 studies including 4,947 cases and 5,642 controls based on the search criteria were involved in this meta-analysis. In the overall analysis, it was suggested that variant C allele of miR-196a2 rs11614913 polymorphism could significantly increase risk of GI cancers in different genetic models (C vs T: OR = 1.17, 95 % CI = 1.07–1.28, P = 0.0008; CT + CC vs TT: OR = 1.26, 95 % CI = 1.08–1.48, P = 0.004; CC vs CT + TT: OR = 1.23, 95 % CI = 1.08–1.39, P = 0.002; CC vs TT: OR = 1.55, 95 % CI = 1.24–1.94, P = 0.0001; CT vs TT: OR = 1.20, 95 % CI = 1.02–1.40, P = 0.03). When stratified by ethnicity, we found a significant association in Asian population, as well as Caucasian population. When stratified by cancer types, we found a significant association in colorectal cancer, as well as esophageal cancer. We did not find a significant association between miR-196a2 rs11614913 polymorphism and hepatocellular carcinoma risk. For gastric cancer, a significantly increased cancer risk was observed only in homozygote comparison. This meta-analysis demonstrates that miR-196a2 rs11614913 polymorphism is significantly associated with risk of GI cancers.


Gastrointestinal cancers miR-196a2 Genetic polymorphism Meta-analysis 


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Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  • Fang Wang
    • 1
  • Guo-Ping Sun
    • 1
  • Yan-Feng Zou
    • 2
  • Lu-Lu Fan
    • 1
  • Bing Song
    • 3
  1. 1.Department of OncologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina
  2. 2.Department of Epidemiology and Biostatistics, School of Public HealthAnhui Medical UniversityHefeiChina
  3. 3.Department of CardiologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina

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