Authors' Affiliations: Channing Division of Network Medicine, Brigham and Women's Hospital & Harvard Medical School; Department of Epidemiology; Department of Nutrition, Harvard School of Public Health, Boston; Division of Biostatistics and Epidemiology, University of Massachusetts School of Public Health and Health Sciences, Amherst, Massachusetts; and Department of Medicine, McGill University, Montréal, Quebec, Canada.
Cancer Epidemiol Biomarkers Prev. 2013 Oct;22(10):1786-96. doi: 10.1158/1055-9965.EPI-13-0375.
Insulin may promote breast cancer directly by stimulating the insulin receptor or indirectly by increasing the plasma concentration of active sex hormones. The association between insulin and breast density, a strong breast cancer risk factor, has not been thoroughly studied. We measured associations between c-peptide (a molar marker of insulin secretion), breast cancer risk, and breast density measurements in case-control studies nested within the Nurses' Health Study and Nurses' Health Study II cohorts.
Breast cancer associations were estimated with multivariate logistic regression models and then pooled across cohorts (total n = 1,084 cases and 1,785 controls). Mammographic density associations (percent dense area, dense area, and nondense area) were estimated as the difference in least-square means of the density parameters between quartiles of c-peptide concentration in all breast cancer controls with available screening mammography films (n = 1,469).
After adjustment for adiposity, c-peptide was not associated with any measure of breast density. However, c-peptide was associated with an approximately 50% increased risk of invasive breast cancer [top vs. bottom quartile, adjusted OR = 1.5, 95% confidence interval (CI), 1.1-2.0] that was robust to adjustment for plasma-free estradiol and sex hormone-binding globulin. The association was stronger for ER-negative disease (adjusted OR = 2.0; 95% CI, 1.2-3.6).
Our data suggest a positive association between hyperinsulinemia and breast cancer risk that occurs through nonestrogenic mechanisms, and that is not mediated by breast density.
Primary prevention of breast cancer in women with hyperinsulinemia may be possible by targeting insulin signaling pathways.
胰岛素可能通过刺激胰岛素受体直接促进乳腺癌,也可能通过增加活性性激素的血浆浓度间接促进乳腺癌。胰岛素与乳腺癌风险因素之一的乳腺密度之间的关系尚未得到深入研究。我们通过多变量逻辑回归模型测量了巢式病例对照研究中 C 肽(胰岛素分泌的摩尔标志物)与乳腺癌风险和乳腺密度测量之间的关联,这些研究嵌套在护士健康研究和护士健康研究 II 队列中。
使用多变量逻辑回归模型估计乳腺癌相关性,然后跨队列进行汇总(总病例数为 1084 例,对照组为 1785 例)。在所有接受过筛查性乳房 X 光检查的乳腺癌对照者中(n=1469),根据 C 肽浓度四分位数,估计乳房密度相关性(致密区百分比、致密区面积和非致密区面积)作为密度参数最小二乘均值的差异。
在调整了肥胖因素后,C 肽与任何乳腺密度测量值均无关联。然而,C 肽与浸润性乳腺癌的风险增加约 50%相关(最高与最低四分位数相比,调整后的 OR=1.5,95%置信区间 [CI],1.1-2.0),这一关联在调整血浆游离雌二醇和性激素结合球蛋白后仍然存在。该关联在 ER 阴性疾病中更强(调整后的 OR=2.0;95%CI,1.2-3.6)。
我们的数据表明,高胰岛素血症与乳腺癌风险之间存在正相关,这种相关性是通过非雌激素机制发生的,并且不受乳腺密度的影响。
通过靶向胰岛素信号通路,可能有可能预防高胰岛素血症妇女的乳腺癌发生。