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TNF-α基因rs1800629多态性与中国人群宫颈癌的易感性

丁波 孙玮 沈杨 蔡云朗 王适之

丁波, 孙玮, 沈杨, 蔡云朗, 王适之. TNF-α基因rs1800629多态性与中国人群宫颈癌的易感性[J]. 中华疾病控制杂志, 2019, 23(7): 850-855. doi: 10.16462/j.cnki.zhjbkz.2019.07.021
引用本文: 丁波, 孙玮, 沈杨, 蔡云朗, 王适之. TNF-α基因rs1800629多态性与中国人群宫颈癌的易感性[J]. 中华疾病控制杂志, 2019, 23(7): 850-855. doi: 10.16462/j.cnki.zhjbkz.2019.07.021
DING Bo, SUN Wei, SHEN Yang, CAI Yun-lang, WANG Shi-zhi. TNF-α rs1800629 polymorphisms in the genetic susceptibility to cervical cancer[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(7): 850-855. doi: 10.16462/j.cnki.zhjbkz.2019.07.021
Citation: DING Bo, SUN Wei, SHEN Yang, CAI Yun-lang, WANG Shi-zhi. TNF-α rs1800629 polymorphisms in the genetic susceptibility to cervical cancer[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(7): 850-855. doi: 10.16462/j.cnki.zhjbkz.2019.07.021

TNF-α基因rs1800629多态性与中国人群宫颈癌的易感性

doi: 10.16462/j.cnki.zhjbkz.2019.07.021
基金项目: 

国家自然科学基金 81872684

江苏省自然科学基金 BK20171367

详细信息
    通讯作者:

    王适之, E-mail: shizhiwang2009@seu.edu.cn

  • 中图分类号: R711.74

TNF-α rs1800629 polymorphisms in the genetic susceptibility to cervical cancer

Funds: 

National Natural Science Foundation of China 81872684

Natural Science Foundation of Jiangsu Province BK20171367

More Information
  • 摘要:   目的  探讨肿瘤坏死因子-α(tumor necrosis factor α,TNF-α)基因位点rs1800629单核苷酸多态性与宫颈癌发生的关系。  方法  选择经组织学确诊的汉族552例新发宫颈癌患者作为病例组,与病例组人群不存在生物学相关的654例正常人群作为对照组,利用Taqman实时荧光定量聚合酶链式反应(polymerase chain reaction,PCR)技术检测基因型,Logistic回归模型计算基因型与人群罹患宫颈癌的风险比(odds ratio,OR)及其95%的可信区间(95%CI);Stata 11.0软件对中国人群rs1800629多态性与宫颈癌的关系进行Meta分析。  结果  与TNF-α rs1800629野生型GG基因型的相比,个体携带rs1800629 GA、AA及GA/AA基因型的个体罹患宫颈癌的风险差异无统计学意义(均有P>0.05);对该位点多态性与宫颈癌关系的Meta分析发现,TNF-α rs1800629遗传变异与中国人群宫颈癌的发生无明显相关性。  结论  TNF-α基因rs1800629位点多态性可能与中国人群宫颈癌发生无关。
  • 图  1  文献筛选的流程图

    Figure  1.  Flow chart of literature screening

    图  2  TNF-α rs1800629多态性(GA/AA VS GG)与宫颈癌风险的森林图

    Figure  2.  Forest plot of cervical cancer risk associated with TNF-α rs1800629 (GA/AA VS GG)

    图  3  TNF-α rs1800629多态性与宫颈癌风险(GA/AA VS GG)的Galbraith图

    Figure  3.  Galbraith plot assessing sources of heterogeneity from 8 studies

    图  4  TNF-α rs1800629多态性与宫颈癌风险(GA/AA VS GG)的漏斗图

    Figure  4.  Funnel plot assessing evidence of publication bias from 8 studies (GA/AA VS GG)

    表  1  宫颈癌病例和对照的统计学变量

    Table  1.   Demographic and selected variables in cervical cancer cases and controls

    变量 病例组(n=552) 对照组(n=654) P
    年龄[岁, (x±s)] 47.46±10.10 47.34±10.60 0.834
    初次生育年龄[岁, (x±s)] 23.82±2.37 25.12±2.67 <0.001
    产次[次,n(%)] <0.001
      0~1 328(59.4) 501(76.6)
      ≥2 224(40.6) 153(23.4)
    绝经[n(%)] 0.407
      是 200(36.2) 222(33.9)
      否 352(63.8) 432(66.1)
    临床分期[n(%)]
      Ⅰ 379
      Ⅱ 139
      Ⅲ 26
      Ⅳ 7
    下载: 导出CSV

    表  2  TNF-α rs1800629基因多态性与宫颈癌易感性的关系[n(%)]

    Table  2.   TNF-α rs1800629 polymorphisms and cervical cancer [n(%)]

    基因型 宫颈癌组(n=552) 对照组(n=654) 宫颈癌组vs对照组
    P 调整OR(95% CI)a
    rs1800629
      GG 481(87.1) 565(86.4) 1.000
      GA 66(12.0) 84(12.8) 0.648 0.923(0.654~1.303)
      AA 5(0.9) 5(0.8) 0.800 1.175(0.338~4.082)
      GA/AA 71(12.9) 89(13.6) 0.703 0.937(0.670~1.310)
      G等位 1 028(93.1) 1 214(92.8) 1.000
      A等位 76(6.9) 94(6.2) 0.772 0.955(0.698~1.306)
    注:a调整了年龄、产次和是否绝经因素。
    下载: 导出CSV

    表  3  纳入TNF-α rs1800629多态性的Meta分析研究的基本信息

    Table  3.   Main characterics of TNF-α rs1800629 studies included in the Meta-analysis

    作者 年份 地区 分型方法 病例/对照 病例组 对照组 P-HWE(对照组)
    AA AG GG AA AG GG
    祖菲娅 2010 新疆 PCR-RFLP 111/100 50 54 7 72 18 10 <0.001
    Wang 2011 西安 PCR-RFLP 186/200 149 30 7 144 46 10 0.019
    Huang 2012 蚌埠 PCR-RFLP 42/87 33 6 3 64 20 3 0.372
    Wang 2012 辽宁 PCR-RFLP 285/274 247 30 8 274 35 9 <0.001
    Li 2018 山东 TaqMan 452/494 317 135 0 424 70 0 0.090
    Li 2018 齐齐哈尔 PCR-RFLP 142/150 114 24 4 125 22 3 0.102
    Du 2018 四川 Sanger测序 522/550 390 84 48 431 91 28 <0.001
    Ding 2018 江苏 TaqMan 552/654 481 66 5 565 84 5 0.342
    注:PCR:聚合酶链式反应;RFLP:限制性片段长度多态性。
    下载: 导出CSV

    表  4  TNF-α rs1800629多态性与宫颈癌风险的Meta分析结果

    Table  4.   Results of Meta-analysis for TNF-α rs1800629 polymorphism and cervical cancer risk

    研究 数目 病例/对照 GG vs AA AG vs AA 显性模型 隐形模型 G等位vs A等位
    OR (95% CI)值 Pa OR (95% CI)值 Pa OR (95% CI)值 Pa OR (95% CI)值 Pa OR (95% CI)值 Pa
    Total 8 1 770/2 003 1.02 (0.64~1.63) 0.912 1.26 (0.75~2.13) <0.001 1.25 (0.78~2.01) <0.001 0.94 (0.59~1.50) 0.798 1.19 (0.83~1.72) <0.001
    HWE平衡 4 1 188/1 385 1.42 (0.62~3.26) 0.893 1.22 (0.63~2.37) <0.001 1.28 (0.69~2.38) <0.001 1.45 (0.63~3.33) 0.851 1.30 (0.78~2.18) 0.001
    注:a运用Q检验对各组研究间的异质性进行检验,如异质性P≥0.1,选择固定效应模型,否则选择随机效应模型。
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-01-22
  • 修回日期:  2019-04-01
  • 刊出日期:  2019-07-10

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