Division of General Internal Medicine, University of California, San Francisco, 1545 Divisadero Street, Box 0320, San Francisco, CA, 94115, USA.
Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Breast Cancer Res. 2019 Apr 3;21(1):48. doi: 10.1186/s13058-019-1129-9.
Obesity and elevated breast density are common risk factors for breast cancer, and their effects may vary by estrogen receptor (ER) subtype. However, their joint effects on ER subtype-specific risk are unknown. Understanding this relationship could enhance risk stratification for screening and prevention. Thus, we assessed the association between breast density and ER subtype according to body mass index (BMI) and menopausal status.
We conducted a case-control study nested within two mammography screening cohorts, the Mayo Mammography Health Study and the San Francisco Bay Area Breast Cancer SPORE/San Francisco Mammography Registry. Our pooled analysis contained 1538 ER-positive and 285 ER-negative invasive breast cancer cases and 4720 controls matched on age, menopausal status at time of mammogram, and year of mammogram. Percent density was measured on digitized film mammograms using computer-assisted techniques. We used polytomous logistic regression to evaluate the association between percent density and ER subtype by BMI subgroup (normal/underweight, < 25 kg/m versus overweight/obese, ≥ 25 kg/m). We used Wald chi-squared tests to assess for interactions between percent density and BMI. Our analysis was stratified by menopausal status and hormone therapy usage at the time of index mammogram.
Percent density was associated with increased risk of overall breast cancer regardless of menopausal status or BMI. However, when analyzing breast cancer across ER subtype, we found a statistically significant (p = 0.008) interaction between percent density and BMI in premenopausal women only. Specifically, elevated percent density was associated with a higher risk of ER-negative than ER-positive cancer in overweight/obese premenopausal women [OR per standard deviation increment 2.17 (95% CI 1.50-3.16) vs 1.33 (95% CI 1.11-1.61) respectively, P = 0.01]. In postmenopausal women, elevated percent density was associated with similar risk of ER-positive and ER-negative cancers, and no substantive differences were seen after accounting for BMI or hormone therapy usage.
The combination of overweight/obesity and elevated breast density in premenopausal women is associated with a higher risk of ER-negative compared with ER-positive cancer. Eighteen percent of premenopausal women in the USA have elevated BMI and breast density and may benefit from lifestyle modifications involving weight loss and exercise.
肥胖和乳腺密度增高是乳腺癌的常见危险因素,其影响可能因雌激素受体(ER)亚型而异。然而,它们对 ER 亚型特异性风险的联合影响尚不清楚。了解这种关系可以增强筛查和预防的风险分层。因此,我们根据体重指数(BMI)和绝经状态评估了乳腺密度与 ER 亚型之间的关系。
我们在两个乳房 X 线筛查队列——梅奥乳房 X 线健康研究和旧金山湾区乳腺癌 SPORE/旧金山乳房 X 线检查登记处中进行了一项病例对照研究。我们的汇总分析包括 1538 例 ER 阳性和 285 例 ER 阴性浸润性乳腺癌病例以及 4720 例按年龄、乳房 X 线检查时的绝经状态和乳房 X 线检查年份匹配的对照。通过计算机辅助技术在数字化胶片乳房 X 光片上测量百分比密度。我们使用多元逻辑回归按 BMI 亚组(正常/体重不足,<25kg/m2 与超重/肥胖,≥25kg/m2)评估百分比密度与 ER 亚型之间的关系。我们使用 Wald χ2 检验来评估百分比密度与 BMI 之间的交互作用。我们的分析按绝经状态和索引乳房 X 线检查时激素治疗的使用情况进行分层。
无论绝经状态或 BMI 如何,百分比密度均与乳腺癌总体风险增加相关。然而,当我们按 ER 亚型分析乳腺癌时,我们仅在绝经前妇女中发现百分比密度与 BMI 之间存在统计学显著(p=0.008)的相互作用。具体而言,超重/肥胖的绝经前妇女中,升高的百分比密度与 ER 阴性乳腺癌的风险增加相关,而与 ER 阳性乳腺癌的风险增加相关(每标准偏差增量的比值比分别为 2.17(95%CI 1.50-3.16)和 1.33(95%CI 1.11-1.61),p=0.01)。在绝经后妇女中,升高的百分比密度与 ER 阳性和 ER 阴性癌症的风险相似,并且在考虑 BMI 或激素治疗使用情况后,没有发现实质性差异。
在美国,18%的绝经前妇女超重/肥胖且乳腺密度较高,与 ER 阳性乳腺癌相比,她们患 ER 阴性乳腺癌的风险更高。她们可能受益于涉及减肥和运动的生活方式改变。