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

• 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
• 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' 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

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.

项目概要 该项目的长期目标是了解特定良性乳腺疾病之间的关系 (BBD) 诊断和未来乳腺癌风险，并利用这些知识更好地识别女性群体 乳腺癌的高风险可能受益于更强化的一级和/或二级预防策略。 BBD 是一种常见的乳腺活检结果，涵盖多种诊断，包括 乳腺组织的正常变异到具有或不具有非典型特征的增殖性变化。具有某些特定特征的女性 众所周知，BBD 诊断具有发展为浸润性乳腺癌的高风险，风险因人而异。 良性病变内具有癌样特征的组织学异常程度。风险估计有 主要针对已知高风险类别内的 BBD 诊断进行量化。从生物学上来说这是合理的 其他 BBD 诊断也可能表现为乳腺癌的独特危险因素并改善风险预测。 然而，与许多特定 BBD 诊断相关的癌症风险尚未得到广泛研究， 尽管通过筛查乳房X光检查检测到的BBD发病率不断增加。此外，协会 BBD 诊断与癌症风险之间的关系可能会因绝经状态或诊断后的时间而改变。 了解与特定 BBD 诊断和聚类相关的乳腺癌风险程度 具有相似风险的诊断有可能为当前的乳腺病理学实践提供信息，改善风险预测 模型，并为制定个性化预防策略提供证据。此举的目的 该提案旨在描述浸润性乳腺癌和导管原位癌相关的未来风险 特定的 BBD 诊断通常分为两大类非增殖性病变和 无异型性的增殖性病变，并识别具有相似风险的特定诊断簇（目标 1）。 此外，我们将确定这些关联是否因绝经状态或自 BBD 诊断以来的时间而有所不同（目标 2）。该应用程序利用了乳腺癌监测联盟的独特研究资源， 包括一个多学科的导师团队，他们在风险预测建模和基于风险的 筛查、生物统计学、癌症流行病学、医学和病理学。 这些目标将为 BBD 诊断与未来乳腺癌的关系提供批判性的理解 风险。此外，我们的工作将为当前的乳腺病理学临床实践和改进的开发提供信息 风险预测模型，识别具有相似风险的病变。跨学科的培训环境 提案将为申请人提供获得技术技能、建立研究能力、接受 额外的教育培训，并发展内容领域的专业知识，以促进她未来的职业生涯 独立研究员。