Host, reproductive, and lifestyle factors in relation to quantitative histologic metrics of the normal breast.

Mustapha Abubakar, Alyssa Klein, Shaoqi Fan, Scott Lawrence, Karun Mutreja, Jill E Henry, Ruth M Pfeiffer, Maire A Duggan, Gretchen L Gierach
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引用次数: 1

Abstract

Background: Emerging data indicate that variations in quantitative epithelial and stromal tissue composition and their relative abundance in benign breast biopsies independently impact risk of future invasive breast cancer. To gain further insights into breast cancer etiopathogenesis, we investigated associations between epidemiological factors and quantitative tissue composition metrics of the normal breast.

Methods: The study participants were 4108 healthy women ages 18-75 years who voluntarily donated breast tissue to the US-based Susan G. Komen Tissue Bank (KTB; 2008-2019). Using high-accuracy machine learning algorithms, we quantified the percentage of epithelial, stromal, adipose, and fibroglandular tissue, as well as the proportion of fibroglandular tissue that is epithelium relative to stroma (i.e., epithelium-to-stroma proportion, ESP) on digitized hematoxylin and eosin (H&E)-stained normal breast biopsy specimens. Data on epidemiological factors were obtained from participants using a detailed questionnaire administered at the time of tissue donation. Associations between epidemiological factors and square root transformed tissue metrics were investigated using multivariable linear regression models.

Results: With increasing age, the amount of stromal, epithelial, and fibroglandular tissue declined and adipose tissue increased, while that of ESP demonstrated a bimodal pattern. Several epidemiological factors were associated with individual tissue composition metrics, impacting ESP as a result. Compared with premenopausal women, postmenopausal women had lower ESP [β (95% Confidence Interval (CI)) = -0.28 (- 0.43, - 0.13); P < 0.001] with ESP peaks at 30-40 years and 60-70 years among pre- and postmenopausal women, respectively. Pregnancy [β (95%CI) vs nulligravid = 0.19 (0.08, 0.30); P < 0.001] and increasing number of live births (P-trend < 0.001) were positively associated with ESP, while breastfeeding was inversely associated with ESP [β (95%CI) vs no breastfeeding = -0.15 (- 0.29, - 0.01); P = 0.036]. A positive family history of breast cancer (FHBC) [β (95%CI) vs no FHBC = 0.14 (0.02-0.26); P = 0.02], being overweight or obese [β (95%CI) vs normal weight = 0.18 (0.06-0.30); P = 0.004 and 0.32 (0.21-0.44); P < 0.001, respectively], and Black race [β (95%CI) vs White = 0.12 (- 0.005, 0.25); P = 0.06] were positively associated with ESP.

Conclusion: Our findings revealed that cumulative exposure to etiological factors over the lifespan impacts normal breast tissue composition metrics, individually or jointly, to alter their dynamic equilibrium, with potential implications for breast cancer susceptibility and tumor etiologic heterogeneity.

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宿主、生殖和生活方式因素与正常乳腺定量组织学指标的关系。
背景:新出现的数据表明,良性乳腺活检中定量上皮和间质组织组成的变化及其相对丰度独立影响未来浸润性乳腺癌的风险。为了进一步了解乳腺癌的发病机制,我们调查了流行病学因素与正常乳腺定量组织组成指标之间的关系。方法:研究参与者是4108名年龄在18-75岁之间的健康女性,她们自愿向美国Susan G. Komen组织库(KTB;2008 - 2019)。使用高精度机器学习算法,我们量化了数字化苏木精和伊红(H&E)染色的正常乳腺活检标本中上皮、间质、脂肪和纤维腺组织的百分比,以及纤维腺组织上皮相对于间质的比例(即上皮与间质比例,ESP)。流行病学因素的数据是在组织捐赠时通过详细的问卷调查从参与者那里获得的。采用多变量线性回归模型研究流行病学因素与平方根转化组织指标之间的关系。结果:随着年龄的增长,间质组织、上皮组织和纤维腺组织数量减少,脂肪组织数量增加,ESP呈双峰型。几个流行病学因素与个体组织组成指标相关,从而影响ESP。与绝经前妇女相比,绝经后妇女的ESP较低[β(95%可信区间(CI)) = -0.28 (- 0.43, - 0.13);P vs nulligravid = 0.19 (0.08, 0.30);P pip coburn vs没有母乳喂养= -0.15 (- 0.29,0.01);p = 0.036]。阳性乳腺癌家族史(FHBC) [β (95%CI) vs无FHBC = 0.14 (0.02-0.26);P = 0.02],超重或肥胖[β (95%CI) vs正常体重= 0.18 (0.06-0.30);P = 0.004和0.32 (0.21-0.44);P vs White = 0.12 (- 0.005, 0.25);结论:我们的研究结果表明,在一生中,累积暴露于病因因素会单独或共同影响正常乳腺组织组成指标,改变其动态平衡,可能影响乳腺癌易感性和肿瘤病因异质性。
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