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Advancing Evidence of the Associations between specific Benign Breast Diagnoses and Future Breast Cancer Risk

推进特定良性乳腺诊断与未来乳腺癌风险之间关联的证据

基本信息

批准号：
10654561
负责人：
Olivia Kayan Sattayapiwat
金额：
$ 4万
依托单位：
UNIVERSITY OF CALIFORNIA AT DAVIS
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-07-01 至 2025-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10654561
关键词：
Address Architecture Atypia Benefits and Risks Benign Biometry Biopsy Breast Breast Cancer Risk Factor Breast Cancer Surveillance Consortium Breast Diseases Breast biopsy Cancerous Categories Cessation of life Competence Cox Proportional Hazards Models Data Descriptor Development Diagnosis Disease Clusterings Duct (organ) structure Early Diagnosis Environment Etiology Expert Opinion Future Goals Harm Reduction High Risk Woman Histologic Hyperplasia Incidence Individual Knowledge Lesion Lobular Mammary Gland Parenchyma Mammographic screening Medicine Menopausal Status Mentors Modification Noninfiltrating Intraductal Carcinoma Normal Range Palpable Pathologic Pathology Performance Postmenopause Premenopause Prevention Prevention strategy Primary Prevention Proliferating Recording of previous events Registries Research Research Personnel Resources Risk Risk Estimate Risk Factors Sample Size Secondary Prevention Subgroup Technical Expertise Time Training Training and Education United States Variant Woman Women&apos s Group Work advanced breast cancer aggressive breast cancer breast imaging breast pathology cancer diagnosis cancer epidemiology cancer risk career classification trees clinical practice disease diagnosis disease diagnostic disorder risk follow-up high risk improved individualized prevention lobular breast carcinoma in situ malignant breast neoplasm mortality multidisciplinary primary outcome risk prediction risk prediction model screening secondary outcome

项目摘要

PROJECT SUMMARY The long-term goal of this project is to understand the relationship between specific benign breast disease (BBD) diagnoses and future breast cancer risk, and to use this knowledge to better identify groups of women at high risk of breast cancer that may benefit from more intensive primary and/or secondary prevention strategies. BBD is a common breast biopsy finding and encompasses a diverse spectrum of diagnoses ranging from normal variations in breast tissue to proliferative changes with or without atypical features. Women with certain BBD diagnoses are known to have a high risk for development of invasive breast cancer, with risk varying by degree of histological abnormality with cancerous-like features within the benign lesion. Estimates of risk have primarily been quantified for BBD diagnoses within known high-risk categories. It is biologically plausible that other BBD diagnoses may also manifest as distinct risk factors for breast cancer and improve risk prediction. However, the risks of cancer associated with many specific BBD diagnoses have not been extensively studied, despite an increasing incidence of BBD detected by screening mammography. Moreover, associations between BBD diagnoses and cancer risk may be modified by menopausal status or time since diagnosis. Understanding the magnitude of breast cancer risk associated with specific BBD diagnoses and clustering diagnoses with similar risk has the potential to inform current breast pathology practice, improve risk prediction models, and provide evidence for the development of personalized prevention strategies. The objective of this proposal is to characterize the future risk of invasive breast cancer and ductal carcinoma in situ associated with specific BBD diagnoses typically combined into two broad categories of non-proliferative lesions and proliferative lesions without atypia, and to identify clusters of specific diagnoses with similar risk (Aim 1). Further, we will determine if these associations differ by menopausal status or time since BBD diagnosis (Aim 2). This application leverages the unique research resources of the Breast Cancer Surveillance Consortium, including a multidisciplinary team of mentors with expertise in risk prediction modeling and risk-based screening, biostatistics, cancer epidemiology, medicine, and pathology. These aims will provide a critical understanding of the relationship of BBD diagnoses with future breast cancer risk. Moreover, our work will inform current breast pathology clinical practice and the development of improved risk prediction models, identifying lesions with similar risk. The interdisciplinary training environment for this proposal will provide the applicant the opportunity to gain technical skills, build research competency, undergo additional educational training, and develop content area expertise to further her career as a future independent researcher.

项目总结