Mammographic density in relation to breast cancer risk factors among Chinese women.

IF 3.7 3区 医学 Q2 ONCOLOGY Cancer Epidemiology Biomarkers & Prevention Pub Date : 2024-11-13 DOI:10.1158/1055-9965.EPI-24-1065
Hela Koka, Yuan Tian, Lu Deng, Kai Yu, Er-Ni Li, Changyuan Guo, Jennifer L Guida, Hyuna Sung, Ariane Chan, Nan Hu, Ning Lu, Gretchen L Gierach, Jing Li, Xiaohong R Yang
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Abstract

Background Increased mammographic density (MD) is a known breast cancer (BC) risk factor, but its influencing factors are unclear in Asian populations. This study examined the links between known BC risk factors and quantitatively measured MD in 7,351 Chinese women with non-malignant mammographic findings. Methods VolparaDensity software quantified volumetric MD measures: total breast (TBV), absolute dense (ADV), percent dense (PDV= ADV/TBV), and non-dense volumes (NDV= TBV-ADV). Multivariable linear regression models assessed associations between these MD metrics and BC risk factors. Results The mean age of the population was 50.1 (SD=8.3) years. The mean ADV, NDV, and PDV were 58.4 (SD=32.1), 382.8 (SD=202.0) cm³ and 14.8 (SD=7.1) %, respectively. PDV was inversely associated with age, weight, body mass index (BMI), parity, breastfeeding duration, and postmenopausal status, but positively linked to height and age at menopause. NDV showed opposite associations. ADV had similar associations to PDV, except for height, weight, and BMI, which differed for women with the lowest NDV. PDV associations with age at menarche, age at first birth, and breastfeeding duration varied by BMI and menopausal status. Conclusions MD may influence the relationship between reproductive factors and BC risk, depending on MD measure, menopausal status, and BMI. Impact This study examines how quantitative MD measures relate to known BC risk factors in an East Asian population, factoring in menopausal status and BMI. The results underscore the complex role of MD and confounding factors in BC risk, highlighting the need for tailored insights for future research and screening.

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中国女性乳房 X 线照相密度与乳腺癌风险因素的关系。
背景 乳腺X线摄影密度(MD)增加是已知的乳腺癌(BC)风险因素,但其在亚洲人群中的影响因素尚不清楚。本研究对 7,351 名有非恶性乳腺 X 线检查结果的中国女性进行了研究,探讨了已知的乳腺癌风险因素与定量测量的 MD 之间的联系。方法 VolparaDensity 软件量化了乳腺体积密度测量值:乳腺总体积 (TBV)、绝对致密体积 (ADV)、致密百分比 (PDV= ADV/TBV) 和非致密体积 (NDV=TBV-ADV)。多变量线性回归模型评估了这些 MD 指标与 BC 风险因素之间的关联。结果 研究对象的平均年龄为 50.1 (SD=8.3) 岁。平均 ADV、NDV 和 PDV 分别为 58.4 (SD=32.1)、382.8 (SD=202.0) cm³ 和 14.8 (SD=7.1) %。PDV与年龄、体重、体重指数(BMI)、胎次、母乳喂养时间和绝经后状态成反比,但与身高和绝经年龄成正比。而 NDV 则显示出相反的关联。除身高、体重和体重指数外,ADV 与 PDV 的相关性相似,但 NDV 最低的妇女的身高、体重和体重指数有所不同。PDV与初潮年龄、首次生育年龄和母乳喂养时间的关系因体重指数和绝经状况而异。结论 MD 可能会影响生殖因素与 BC 风险之间的关系,具体取决于 MD 测量、绝经状态和 BMI。影响 本研究探讨了在东亚人群中,考虑到绝经状态和体重指数,MD 定量指标与已知 BC 风险因素之间的关系。研究结果强调了MD和混杂因素在乳腺癌风险中的复杂作用,强调了未来研究和筛查需要有针对性的见解。
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来源期刊
Cancer Epidemiology Biomarkers & Prevention
Cancer Epidemiology Biomarkers & Prevention 医学-公共卫生、环境卫生与职业卫生
CiteScore
6.50
自引率
2.60%
发文量
538
审稿时长
1.6 months
期刊介绍: Cancer Epidemiology, Biomarkers & Prevention publishes original peer-reviewed, population-based research on cancer etiology, prevention, surveillance, and survivorship. The following topics are of special interest: descriptive, analytical, and molecular epidemiology; biomarkers including assay development, validation, and application; chemoprevention and other types of prevention research in the context of descriptive and observational studies; the role of behavioral factors in cancer etiology and prevention; survivorship studies; risk factors; implementation science and cancer care delivery; and the science of cancer health disparities. Besides welcoming manuscripts that address individual subjects in any of the relevant disciplines, CEBP editors encourage the submission of manuscripts with a transdisciplinary approach.
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