M. Cote, Wei Chen, J. Ruterbusch, E. Abdulfatah, V. Pardeshi, Asra N. Shaik, M. Ghanim, M. F. Daaboul, D. Visscher, S. Bandyopadhyay, R. Ali-Fehmi
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引用次数: 0
Abstract
Introduction: Atypical hyperplasia (also known as proliferative disease with atypia), while categorized as a benign finding, has been consistently associated with an increased risk of subsequent breast cancer that persists for decades after initial diagnosis. There are various other lesions that are classified as benign breast disease (BBD) that are routinely identified by pathologists that may also increase risk and be of use to inform breast cancer risk models. We sought to identify which BBD lesions were associated with increased risk of breast cancer in an African American (AA) cohort. Methods: Benign breast biopsies from 3,895 AA women diagnosed with BBD between 1997 and 2010 in metropolitan Detroit were reviewed for 12 benign features including columnar alterations, ductal ectasia, ductal hyperplasia, fibrosis, apocrine metaplasia, lobular hyperplasia, calcifications, cysts, intraductal papilloma, radial scar, sclerosing adenosis, and fibroadenomas. Women were followed for subsequent breast cancer using the Metropolitan Detroit Cancer Surveillance System, part of the Surveillance, Epidemiology, and End Results (SEER) cancer registry. Associations between BBD features and subsequent breast cancer were examined using chi-square tests. Features that had a significant chi-square test result were also combined into scores describing the overall number of BBD features identified, termed busy breast score. Multivariable log-binomial regression with backward selection based on BIC criteria was performed to assess risk ratio and 95% confidence intervals of breast cancer on 12 candidate features. Multivariable log-binomial regression was performed for busy breast score as well. All regression models were adjusted for age at biopsy and overall impression for presence of proliferative disease with or without atypia using non-proliferative disease as the reference. Models were checked for multicollinearity using a variable inflation factor (VIF). Results: Of the 3,895 AA women in the BBD cohort, 210 developed a subsequent breast cancer. The median age at biopsy among those without a subsequent cancer (controls) was 47 years of age, while cases were 53 years of age (p-value Conclusions: Columnar alterations confer increased risk of breast cancer beyond the risks associated with atypical hyperplasia, as does the presence of multiple types of BBD lesions in a single biopsy. These estimates may help improve the current risk assessment models for African American women and highlight the need for additional research regarding the utility of closer surveillance and potentially chemoprevention for reduction of breast cancer in these women. Citation Format: Michele L. Cote, Wei Chen, Julie J. Ruterbusch, Eman Abdulfatah, Visakha Pardeshi, Asra N. Shaik, Marcel T. Ghanim, MHD Fayez Daaboul, Daniel W. Visscher, Sudeshna Bandyopadhyay, Rouba Ali-Fehmi. Benign breast disease and subsequent breast cancer risk: The Detroit cohort. [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early Detection; Nov 16-19, 2016; Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(5 Suppl):Abstract nr A25.
简介:非典型增生(也称为非典型性增生性疾病),虽然被归类为良性发现,但一直与最初诊断后持续数十年的后续乳腺癌风险增加相关。还有各种其他病变被归类为良性乳腺疾病(BBD),病理学家通常会发现这些病变也可能增加风险,并用于建立乳腺癌风险模型。我们试图在非裔美国人(AA)队列中确定哪些BBD病变与乳腺癌风险增加相关。方法:回顾性分析1997 - 2010年底特律市区3895例确诊为BBD的AA女性乳腺良性活检的12种良性特征,包括柱状改变、导管扩张、导管增生、纤维化、大汗腺化生、小叶增生、钙化、囊肿、导管内乳头状瘤、放射状瘢痕、硬化性腺病和纤维腺瘤。使用大都会底特律癌症监测系统(监测、流行病学和最终结果(SEER)癌症登记处的一部分)对妇女进行后续乳腺癌随访。采用卡方检验检验BBD特征与随后的乳腺癌之间的关系。具有显著卡方检验结果的特征也被合并成描述已确定的BBD特征总数的分数,称为忙碌乳房评分。采用基于BIC标准的多变量对数二项回归和反向选择来评估乳腺癌在12个候选特征上的风险比和95%置信区间。对忙碌乳房评分进行多变量对数二项回归。所有回归模型都以活检时的年龄和有无非典型性增殖性疾病的总体印象为参照进行调整。使用可变膨胀因子(VIF)检查模型是否多重共线性。结果:在3895名AA女性中,210人随后发展为乳腺癌。活检中无后续癌症(对照组)的中位年龄为47岁,而病例为53岁(p值结论:柱状改变增加了乳腺癌的风险,超出了与非典型增生相关的风险,就像单次活检中存在多种类型的BBD病变一样。这些估计可能有助于改善非洲裔美国妇女目前的风险评估模型,并强调需要进一步研究更密切的监测和潜在的化学预防的效用,以减少这些妇女的乳腺癌。引文格式:Michele L. Cote, Wei Chen, Julie J. Ruterbusch, Eman Abdulfatah, Visakha Pardeshi, Asra N. Shaik, Marcel T. Ghanim, MHD Fayez Daaboul, Daniel W. Visscher, Sudeshna Bandyopadhyay, Rouba Ali-Fehmi。良性乳腺疾病和随后的乳腺癌风险:底特律队列[摘要]。摘自:AACR特别会议论文集:改进癌症风险预测以预防和早期发现;2016年11月16日至19日;费城(PA): AACR;Cancer epidemiology Biomarkers pre2017;26(5增刊):摘要nr A25。