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The Association between Two MicroRNA Variants (miR-499, miR-149) and Gastrointestinal Cancer Risk: A Meta-Analysis

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  • Li Li
  • Yunjian Sheng
  • Lin Lv
  • Jian Gao

Abstract

Background: MicroRNAs (miRNAs) are small RNA molecules that regulate the expression of corresponding messenger RNAs (mRNAs). Single nucleotide polymorphisms (SNPs) in miRNAs may contribute to cancer susceptibility due to changes in the microRNA’s properties and/or maturation. The present study aimed to investigate the association between two miRNA polymorphisms (miR-499 rs3746444 and miR-149 rs2292832) and gastrointestinal (GI) cancer risk. Methodology/Principal Findings: We conducted a search of case-control studies in PubMed, Wiley Online Library, Web of Science and the CNKI database. Eleven rs3746444 studies and six rs2292832 studies were included in our meta-analysis. The only obvious association between the miR-499 polymorphism and colorectal cancer susceptibility was found in the homozygote comparison (GG vs. AA: OR = 1.66, 95% CI: 1.02–2.70, Ph = 0.10, P = 0.04). No significant association was found in the subgroup analysis for ethnicity and risk of hepatocellular and gastric cancer. A marginally elevated GI cancer risk was discovered in the recessive model for miR-149 (TT vs. TC+CC: OR = 1.15, 95% CI: 1.03–1.30, Ph = 0.68, P = 0.02). Stratifying the results by ethnicity revealed a slight association between the recessive model and the Asian population (TT vs. TC+CC: OR = 1.14, 95% CI: 1.01–1.29, Ph = 0.79, P = 0.03). Conclusions/Significance: The present meta-analysis indicates that miR-499 may be associated with the risk to colorectal cancer. MiR-149 may confer a marginally increased risk of susceptibility to gastrointestinal cancer, especially for Asians.

Suggested Citation

  • Li Li & Yunjian Sheng & Lin Lv & Jian Gao, 2013. "The Association between Two MicroRNA Variants (miR-499, miR-149) and Gastrointestinal Cancer Risk: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
    • Handle: RePEc:plo:pone00:0081967
    DOI: 10.1371/journal.pone.0081967
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    References listed on IDEAS

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    1. Fang Wang & Guoping Sun & Yanfeng Zou & Lulu Fan & Bing Song, 2012. "Lack of Association of miR-146a rs2910164 Polymorphism with Gastrointestinal Cancers: Evidence from 10206 Subjects," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-7, June.
    2. Jing Guo & Mingjuan Jin & Mingwu Zhang & Kun Chen, 2012. "A Genetic Variant in miR-196a2 Increased Digestive System Cancer Risks: A Meta-Analysis of 15 Case-Control Studies," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-7, January.
    3. Zhongxia Wang & Yin Cao & Chunping Jiang & Guang Yang & Junhua Wu & Yitao Ding, 2012. "Lack of Association of Two Common Polymorphisms rs2910164 and rs11614913 with Susceptibility to Hepatocellular Carcinoma: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-8, June.
    4. Victor Ambros, 2004. "The functions of animal microRNAs," Nature, Nature, vol. 431(7006), pages 350-355, September.
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