Department of Breast Surgery, Cancer Hospital/Cancer Institute, Fudan University, 399 Ling-Ling Road, 200032, Shanghai, People's Republic of China.
Breast Cancer Res Treat. 2010 Jul;122(2):483-8. doi: 10.1007/s10549-009-0706-5. Epub 2009 Dec 31.
The association between a single-nucleotide polymorphism (SNP) -174G > C (rs1800795) located in the IL-6 gene promoter and breast cancer risk is still controversial and ambiguous. We performed in this study a more precise estimation of the relationship by meta-analyzing the currently available evidence from literature. A total of 11 publications containing 12 studies including 10,137 cases and 15,566 controls were identified. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association in the codominant model, dominant model, and recessive model. When all the studies were pooled into the meta-analysis, there was no evidence showing a significant association between -174G > C and breast cancer risk (for CC vs. GG: OR = 1.024, 95% CI: 0.935-1.121; for GC vs. GG: OR = 1.008, 95% CI: 0.946-1.073; for dominant model: OR = 0.980, 95% CI: 0.857-1.121; and for recessive model: OR = 1.027, 95% CI: 0.944-1.117). In the subgroup analyses by ethnicity, no significant associations were observed in any genetic models. In summary, the present meta-analysis suggests that the functional polymorphism -174G > C within the IL-6 gene promoter is not associated with breast cancer risk. Identifying a unique SNP as a breast cancer risk predictor remains a very challenging task.
位于白细胞介素 6(IL-6)基因启动子的单核苷酸多态性(SNP)-174G > C(rs1800795)与乳腺癌风险之间的关联仍存在争议和不明确。我们通过对文献中现有证据进行荟萃分析,更精确地评估了这种关系。共确定了 11 篇包含 12 项研究的文献,这些研究共纳入了 10137 例病例和 15566 例对照。使用未经调整的优势比(OR)及其 95%置信区间(CI)来评估共显性模型、显性模型和隐性模型中的关联强度。当所有研究都纳入荟萃分析时,没有证据表明 -174G > C 与乳腺癌风险之间存在显著关联(对于 CC 与 GG:OR = 1.024,95%CI:0.935-1.121;对于 GC 与 GG:OR = 1.008,95%CI:0.946-1.073;对于显性模型:OR = 0.980,95%CI:0.857-1.121;对于隐性模型:OR = 1.027,95%CI:0.944-1.117)。在按种族进行的亚组分析中,在任何遗传模型中均未观察到显著关联。综上所述,本荟萃分析表明,白细胞介素 6 基因启动子内的功能多态性 -174G > C 与乳腺癌风险无关。确定独特的 SNP 作为乳腺癌风险预测因子仍然是一项极具挑战性的任务。