Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, Jiangsu, People's Republic of China.
Med Oncol. 2010 Dec;27(4):1389-97. doi: 10.1007/s12032-009-9392-8. Epub 2009 Dec 24.
EGF promoter polymorphisms are observed to modulate EGF levels and thought to have effect on susceptibility to various carcinomas but the results are inconsistent. In this meta-analysis, we assessed published studies of the association between three EGF polymorphisms and cancer risk from 21 studies with 14,609 subjects for EGF G61A, from two studies with 2,535 subjects for G-1380A and A-1744G, respectively. For EGF G61A, the contrast of homozygote (OR=0.80, 95% CI=0.65-0.98), allele (OR=0.90, 95% CI=0.81-0.99) and dominant model (OR=0.86, 95% CI=0.74-0.99) produced significant association among 21 studies with relatively large heterogeneity (Pheterogeneity<0.001). Through the stratified analysis, heterogeneity decreased significantly. In the stratified analysis by racial descent, the significant risks were found among Asians for homozygote contrast (OR=0.83, 95% CI=0.69-0.99, Pheterogeneity=0.506) and Americans for the contrast of homozygote (OR=0.50, 95% CI=0.30-0.84, Pheterogeneity=0.051), allele (OR=0.70, 95% CI=0.51-0.96, Pheterogeneity=0.008) and dominant model (OR=0.57, 95% CI=0.42-0.77, Pheterogeneity=0.28). No significant associations were found in all Caucasians genetic models. In the subgroup analyses by cancer types, for gastric cancer and esophageal cancer significant associations were found in all genetic models without heterogeneity. Significant risk was also found in the contrast of homozygote (OR=0.41, 95% CI=0.20-0.81, Pheterogeneity=0.184) and recessive model (OR=0.53, 95% CI=0.33-0.85, Pheterogeneity=0.384) for hepatoma and recessive model (OR=0.72, 95% CI=0.53-0.99, Pheterogeneity=0.474) for glioma. For EGF G-1380A and A-1744G, no significant associations were found in all genetic models. This meta-analysis suggests that the EGF G61A polymorphism most likely contributes to decreased susceptibility to cancers among Asians and Americans, and A allele may be a protective factor for gastric cancer, esophageal cancer, hepatoma and glioma. Both EGF G-1380A and A-1744G is marginally associated with cancer susceptibility.
EGF 启动子多态性被观察到调节 EGF 水平,并被认为对各种癌症的易感性有影响,但结果不一致。在这项荟萃分析中,我们评估了来自 21 项研究的三种 EGF 多态性与癌症风险之间的关联,这些研究共有 14609 名受试者进行了 EGF G61A 研究,来自两项研究的 2535 名受试者进行了 G-1380A 和 A-1744G 研究。对于 EGF G61A,同型纯合子(OR=0.80,95%CI=0.65-0.98)、等位基因(OR=0.90,95%CI=0.81-0.99)和显性模型(OR=0.86,95%CI=0.74-0.99)的对比在具有较大异质性的 21 项研究中产生了显著关联(Pheterogeneity<0.001)。通过分层分析,异质性显著降低。在按种族划分的分层分析中,亚洲人群的同型纯合子对比(OR=0.83,95%CI=0.69-0.99,Pheterogeneity=0.506)和美国人群的同型纯合子对比(OR=0.50,95%CI=0.30-0.84,Pheterogeneity=0.051)、等位基因(OR=0.70,95%CI=0.51-0.96,Pheterogeneity=0.008)和显性模型(OR=0.57,95%CI=0.42-0.77,Pheterogeneity=0.28)存在显著风险。所有高加索人群的遗传模型均未发现显著关联。在按癌症类型进行的亚组分析中,对于胃癌和食管癌,所有遗传模型均无异质性,存在显著关联。肝癌的同型纯合子对比(OR=0.41,95%CI=0.20-0.81,Pheterogeneity=0.184)和隐性模型(OR=0.53,95%CI=0.33-0.85,Pheterogeneity=0.384)以及脑肿瘤的隐性模型(OR=0.72,95%CI=0.53-0.99,Pheterogeneity=0.474)也存在显著风险。对于 EGF G-1380A 和 A-1744G,所有遗传模型均未发现显著关联。这项荟萃分析表明,EGF G61A 多态性可能导致亚洲人和美国人癌症易感性降低,A 等位基因可能是胃癌、食管癌、肝癌和脑肿瘤的保护性因素。EGF G-1380A 和 A-1744G 与癌症易感性仅存在微弱关联。