Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy.
Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy.
Cancer Epidemiol. 2021 Feb;70:101879. doi: 10.1016/j.canep.2020.101879. Epub 2020 Dec 26.
Inconclusive data exist on the association between breast density and breast cancer characteristics.
We conducted a case-only study on 667 invasive breast cancers, using data from the Piedmont Cancer Registry. We applied a multivariate logistic regression model to estimate odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) of high breast density (Breast Imaging Reporting and Data System, BI-RADS 3-4) versus low (BI-RADS 1-2) in relation to histologic grade, pathological tumour size and lymph node status, histotype, estrogen and progesterone receptor, HER2 and Ki67 status. Histopathological data were assessed according to the American Joint Committee on Cancer (AJCC) Staging Manual guidelines. The model includes terms for age at diagnosis, education level, body mass index, reproductive factors, family history of breast cancer, smoking and diabetes.
As regards histologic grade, compared to well differentiated tumours, the OR of high (versus low) breast density cases was 0.61 (95% CI 0.38-0.98) for moderately-poorly differentiated tumours. No other associations with hormonal and histopathological characteristics were observed.
Our results indicate that low breast density is associated with moderately-poorly differentiated breast tumours.
关于乳腺密度与乳腺癌特征之间的关联,存在不确定的数据。
我们对来自皮埃蒙特癌症登记处的 667 例浸润性乳腺癌进行了一项仅病例研究。我们应用多变量逻辑回归模型来估计高乳腺密度(乳腺影像报告和数据系统,BI-RADS 3-4)与低乳腺密度(BI-RADS 1-2)与组织学分级、病理肿瘤大小和淋巴结状态、组织类型、雌激素和孕激素受体、HER2 和 Ki67 状态相关的比值比(OR)及其相应的 95%置信区间(CI)。根据美国癌症联合委员会(AJCC)分期手册指南评估组织病理学数据。该模型包括诊断时的年龄、教育水平、体重指数、生殖因素、乳腺癌家族史、吸烟和糖尿病等术语。
就组织学分级而言,与高分化肿瘤相比,中低分化肿瘤中高(与低)乳腺密度病例的 OR 为 0.61(95%CI 0.38-0.98)。未观察到与激素和组织病理学特征的其他关联。
我们的结果表明,低乳腺密度与中低分化乳腺肿瘤相关。