Department of Pathology and Laboratory Medicine, University of California, Irvine, CA, USA.
Department of Epidemiology and Biostatistics, University of California, Irvine, CA, USA.
Breast J. 2023 Oct 17;2023:2794603. doi: 10.1155/2023/2794603. eCollection 2023.
Breast density is an important risk factor for breast cancer and is known to be associated with characteristics such as age, race, and hormone levels; however, it is unclear what factors contribute to changes in breast density in postmenopausal women over time. Understanding factors associated with density changes may enable a better understanding of breast cancer risk and facilitate potential strategies for prevention.
This study investigated potential associations between personal factors and changes in mammographic density in a cohort of 3,392 postmenopausal women with no personal history of breast cancer between 2011 and 2017. Self-reported information on demographics, breast and reproductive history, and lifestyle factors, including body mass index (BMI), alcohol intake, smoking, and physical activity, was collected by an electronic intake form, and breast imaging reporting and database system (BI-RADS) mammographic density scores were obtained from electronic medical records. Factors associated with a longitudinal increase or decrease in mammographic density were identified using Fisher's exact test and multivariate conditional logistic regression.
7.9% of women exhibited a longitudinal decrease in mammographic density, 6.7% exhibited an increase, and 85.4% exhibited no change. Longitudinal changes in mammographic density were correlated with age, race/ethnicity, and age at menopause in the univariate analysis. In the multivariate analysis, Asian women were more likely to exhibit a longitudinal increase in mammographic density and less likely to exhibit a decrease compared to White women. On the other hand, obese women were less likely to exhibit an increase and more likely to exhibit a decrease compared to normal weight women. Women who underwent menopause at age 55 years or older were less likely to exhibit a decrease in mammographic density compared to women who underwent menopause at a younger age. Besides obesity, lifestyle factors (alcohol intake, smoking, and physical activity) were not associated with longitudinal changes in mammographic density.
The associations we observed between Asian race/obesity and longitudinal changes in BI-RADS density in postmenopausal women are paradoxical in that breast cancer risk is lower in Asian women and higher in obese women. However, the association between later age at menopause and a decreased likelihood of decreasing in BI-RADS density over time is consistent with later age at menopause being a risk factor for breast cancer and suggests a potential relationship between greater cumulative lifetime estrogen exposure and relative stability in breast density after menopause. Our findings support the complexity of the relationships between breast density, BMI, hormone exposure, and breast cancer risk.
乳腺密度是乳腺癌的一个重要危险因素,已知与年龄、种族和激素水平等特征有关;然而,目前尚不清楚哪些因素会导致绝经后妇女的乳腺密度随时间发生变化。了解与密度变化相关的因素可能有助于更好地了解乳腺癌风险,并为潜在的预防策略提供便利。
本研究调查了 2011 年至 2017 年间无乳腺癌个人病史的 3392 名绝经后妇女队列中个人因素与乳腺 X 线摄影密度变化之间的潜在关联。通过电子摄入表收集了人口统计学、乳腺和生殖史以及生活方式因素(包括体重指数(BMI)、酒精摄入量、吸烟和身体活动)的自我报告信息,并从电子病历中获得了乳腺成像报告和数据库系统(BI-RADS)乳腺 X 线摄影密度评分。使用 Fisher 精确检验和多变量条件逻辑回归识别与乳腺 X 线摄影密度纵向增加或减少相关的因素。
7.9%的女性乳腺 X 线摄影密度出现纵向下降,6.7%出现上升,85.4%无变化。单因素分析显示,乳腺 X 线摄影密度的纵向变化与年龄、种族/族裔和绝经年龄相关。在多变量分析中,与白人女性相比,亚洲女性更有可能出现乳腺 X 线摄影密度的纵向增加,而不太可能出现下降。另一方面,与正常体重女性相比,肥胖女性不太可能出现增加,而更有可能出现下降。绝经年龄在 55 岁或以上的女性与绝经年龄较小的女性相比,乳腺 X 线摄影密度下降的可能性较小。除肥胖外,生活方式因素(酒精摄入、吸烟和身体活动)与乳腺 X 线摄影密度的纵向变化无关。
我们观察到绝经后亚洲人种/肥胖与 BI-RADS 密度纵向变化之间的关联是矛盾的,因为亚洲女性的乳腺癌风险较低,而肥胖女性的风险较高。然而,绝经年龄较晚与 BI-RADS 密度随时间下降的可能性降低之间的关联与绝经年龄较大是乳腺癌的一个风险因素相一致,这表明绝经后更大的终生雌激素暴露与乳腺密度相对稳定之间可能存在关系。我们的研究结果支持乳腺密度、BMI、激素暴露和乳腺癌风险之间关系的复杂性。