Department of Medicine, University of Utah, 383 Colorow, Salt Lake City, UT 84108, USA.
Breast Cancer Res Treat. 2013 Aug;140(3):587-601. doi: 10.1007/s10549-013-2644-5. Epub 2013 Aug 3.
Growth factors (GF) stimulate cell proliferation through binding to cell membrane receptors and are thought to be involved in cancer risk and survival. We examined how genetic variation in epidermal growth factor (EGF), neuregulin 2 (NRG2), ERBB2 (HER2/neu), fibroblast growth factors 1 and 2 (FGF1 and FGF2) and its receptor 2 (FGFR2), and platelet-derived growth factor B (PDGFB) independently and collectively influence breast cancer risk and survival. We analyzed data from the Breast Cancer Health Disparities Study which includes Hispanic (2,111 cases, 2,597 controls) and non-Hispanic white (1,481 cases, 1,586 controls) women. Adaptive rank-truncated product (ARTP) analysis was conducted to determine gene significance. Odds ratios (OR) and 95 % confidence intervals were obtained from conditional logistic regression models to estimate breast cancer risk and Cox proportional hazard models were used to estimate hazard ratios (HR) of dying from breast cancer. We assessed Native American (NA) ancestry using 104 ancestry informative markers. We observed few significant associations with breast cancer risk overall or by menopausal status other than for FGFR2 rs2981582. This SNP was significantly associated with ER+/PR+ (OR 1.66, 95 % CI 1.37-2.00) and ER+/PR- (OR 1.54, 95 % CI 1.03-2.31) tumors. Multiple SNPs in FGF1, FGF2, and NRG2 significantly interacted with multiple SNPs in EGFR, ERBB2, FGFR2, and PDGFB, suggesting that breast cancer risk is dependent on the collective effects of genetic variants in other GFs. Both FGF1 and ERBB2 significantly influenced overall survival, especially among women with low levels of NA ancestry (P ARTP = 0.007 and 0.003, respectively). Our findings suggest that genetic variants in growth factors signaling appear to influence breast cancer risk through their combined effects. Genetic variation in ERBB2 and FGF1 appear to be associated with survival after diagnosis with breast cancer.
生长因子 (GF) 通过与细胞膜受体结合刺激细胞增殖,被认为与癌症风险和生存有关。我们研究了表皮生长因子 (EGF)、神经调节蛋白 2 (NRG2)、表皮生长因子受体 2 (ERBB2/neu)、成纤维细胞生长因子 1 和 2 (FGF1 和 FGF2) 及其受体 2 (FGFR2) 和血小板衍生生长因子 B (PDGFB) 的遗传变异如何独立和共同影响乳腺癌风险和生存。我们分析了乳腺癌健康差异研究的数据,其中包括西班牙裔 (2111 例病例,2597 例对照) 和非西班牙裔白人 (1481 例病例,1586 例对照) 女性。适应性秩截断乘积 (ARTP) 分析用于确定基因意义。条件逻辑回归模型用于获得估计乳腺癌风险的比值比 (OR) 和 95%置信区间,Cox 比例风险模型用于估计死于乳腺癌的风险比 (HR)。我们使用 104 个祖先信息标记来评估美洲原住民 (NA) 血统。除了 FGFR2 rs2981582 之外,我们观察到与总体乳腺癌风险或绝经状态相关的很少有显著关联。该 SNP 与 ER+/PR+ (OR 1.66,95%CI 1.37-2.00) 和 ER+/PR- (OR 1.54,95%CI 1.03-2.31) 肿瘤显著相关。FGF1、FGF2 和 NRG2 中的多个 SNP 与 EGFR、ERBB2、FGFR2 和 PDGFB 中的多个 SNP 显著相互作用,表明乳腺癌风险取决于其他 GF 中遗传变异的综合效应。FGF1 和 ERBB2 均显著影响总体生存,尤其是在 NA 血统水平较低的女性中 (P ARTP = 0.007 和 0.003)。我们的研究结果表明,生长因子信号的遗传变异似乎通过其综合效应影响乳腺癌风险。ERBB2 和 FGF1 中的遗传变异似乎与乳腺癌诊断后的生存相关。