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Lack of association between interferon gamma +874 T/A polymorphism and cancer risk: an updated meta-analysis
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  • 作者:Yu-Zheng Ge (1)
    Yi-Dan Wang (2)
    Zheng Xu (1)
    Lu-Wei Xu (1)
    Ya-Ping Wang (2)
    Mao-Hong Gu (2)
    Ai-Xing Ding (3)
    Xian-Bo Zhu (3)
    Ran Wu (1)
    Wen-Cheng Li (1)
    You-Di Xu (2)
    Rui-Peng Jia (1)
  • 关键词:Interferon gamma ; Polymorphism ; Cancer ; Meta ; analysis
  • 刊名:Tumor Biology
  • 出版年:2014
  • 出版时间:July 2014
  • 年:2014
  • 卷:35
  • 期:7
  • 页码:6405-6414
  • 全文大小:348 KB
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  • 作者单位:Yu-Zheng Ge (1)
    Yi-Dan Wang (2)
    Zheng Xu (1)
    Lu-Wei Xu (1)
    Ya-Ping Wang (2)
    Mao-Hong Gu (2)
    Ai-Xing Ding (3)
    Xian-Bo Zhu (3)
    Ran Wu (1)
    Wen-Cheng Li (1)
    You-Di Xu (2)
    Rui-Peng Jia (1)

    1. Department of Urology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
    2. Department of Obstetrics and Gynecology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
    3. Department of General Surgery, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing, 210006, China
  • ISSN:1423-0380
文摘
Interferon gamma (IFN-γ) is a potent proinflammatory cytokine which plays a pivotal role in the antiviral, antiproliferative, and antitumor activities. A T-to-A transition at the position +874 of human IFN-γ gene (IFNG) has been reported to influence the secretion of IFN-γ and affect cancer susceptibility. However, results from published studies on the association between IFNG +874 T/A polymorphism and cancer risk are inconclusive or even controversial. In order to derive a more precise estimation of the association, a meta-analysis of 38 eligible studies including 5,630 cases and 6,096 controls was conducted with odds ratio (OR) and its corresponding 95?% confidence interval (95?% CI). Overall, no significant association was detected in allelic model (A allele vs. T allele—OR--.96, 95?% CI, 0.86-.08), homozygote comparison (AA vs. TT—OR--.97, 95?% CI, 0.79-.21), heterozygote comparison (AT vs. TT—OR--.03, 95?% CI, 0.87-.23), dominant model (AA + AT vs. TT—OR--.00, 95?% CI, 0.87-.15), nor recessive model (AA vs. AT + TT—OR--.93, 95?% CI, 0.78-.12). Further subgroup analyses based on ethnicity, cancer types, and Hardy–Weinberg equilibrium status failed to demonstrate any significant relationship except in African population under recessive model (AA vs. AT + TT—OR--.68, 95?% CI, 0.47-.97). In conclusion, the current meta-analysis suggested that IFNG +874 T/A polymorphism may not contribute to cancer susceptibility, and further well-designed studies with large sample size are warranted to validate our conclusion.

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