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Association of mTOR Polymorphisms with Cancer Risk and Clinical Outcomes: A Meta-Analysis

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  • Jianbo Shao
  • Ying Li
  • Peiwei Zhao
  • Xin Yue
  • Jun Jiang
  • Xiaohui Liang
  • Xuelian He

Abstract

Genetic polymorphisms in mTOR gene may be associated with cancer risk and clinical outcomes of cancer patients by affecting mTOR gene expression or its activation. However, inconsistent results have been reported. The aim of this study is to systematically evaluate the association between mTOR polymorphisms (rs2295080, rs2536 and rs11121704) and cancer risk as well as clinical outcome by a meta-analysis. We identified 10 eligible studies and extracted data by two investigators. Based on dominant and recessive models, odds ratio (ORs) and 95% confidence intervals (CIs) were calculated by using Stata, version 11 to evaluate the association strength. Our meta-analysis results showed that the wild genotype TT of rs2295080 polymorphism was associated with increased cancer risk under dominant model (OR = 1.24, 95%CI: 1.12–1.36, p

Suggested Citation

  • Jianbo Shao & Ying Li & Peiwei Zhao & Xin Yue & Jun Jiang & Xiaohui Liang & Xuelian He, 2014. "Association of mTOR Polymorphisms with Cancer Risk and Clinical Outcomes: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-8, May.
    • Handle: RePEc:plo:pone00:0097085
    DOI: 10.1371/journal.pone.0097085
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    1. Qiaoxin Li & Chengyuan Gu & Yao Zhu & Mengyun Wang & Yajun Yang & Jiucun Wang & Li Jin & Mei-Ling Zhu & Ting-Yan Shi & Jing He & Xiaoyan Zhou & Ding-wei Ye & Qingyi Wei, 2013. "Polymorphisms in the mTOR Gene and Risk of Sporadic Prostate Cancer in an Eastern Chinese Population," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-10, August.
    2. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
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