Comparative Modeling of Precision Breast Cancer Control Across the Translational Continuum

跨转化连续体的乳腺癌精准控制的比较模型

基本信息

批准号：
10469140
负责人：
Oguzhan Alagoz
金额：
$ 50.38万
依托单位：
UNIVERSITY OF WISCONSIN-MADISON
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-01 至 2025-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10469140
关键词：
Accounting Address Adjuvant Adverse effects Advisory Committees Affect Age American Cancer Society American College of Radiology American Society of Clinical Oncology Area Basic Science Benchmarking Benign Biological Markers Biopsy Breast Breast Cancer Risk Factor Breast Cancer Surveillance Consortium Breast Cancer therapy Cancer Biology Cancer Control Cancer Intervention and Surveillance Modeling Network Cardiomyopathies Centers for Disease Control and Prevention (U.S.)Cessation of life Chronic Chronic Disease Clinical Collaborations Complex Computer Models Diabetes Mellitus Diagnosis Disease Disease-Free Survival Distant Environment Equilibrium Fostering Funding Future Goals Guidelines Health Policy Hematologic Neoplasms Incidence Infrastructure Intervention Investigational Therapies Life Magnetic Resonance Imaging Malignant Neoplasms Mammary Gland Parenchyma Mammographic screening Mammography Mentors Modality Modeling Modernization Natural History Neoadjuvant Therapy Neuropathy Non-Insulin-Dependent Diabetes Mellitus Outcome Paper Performance Policies Positioning Attribute Precision therapeutics Preventive service Public Health Publishing Quality of life Quality-Adjusted Life Years Race Recommendation Recording of previous events Records Recurrence Registries Research Research Personnel Resource Sharing Resources Risk Risk Factors Structure Survivors Technology Testing Training Translations Variant Wisconsin Woman Work base breast density breast imaging cancer care career career development circulating biomarkers clinically relevant comorbidity comparative cost density disorder risk disparity reduction experience flexibility improved innovation liquid biopsy malignant breast neoplasm models and simulation molecular subtypes mortality mortality disparity novel novel strategies novel therapeutics personalized approach personalized screening precision oncology primary outcome programs racial disparity response screening synergism technological innovation trend virtual laboratory working group

项目摘要

ABSTRACT The CISNET Breast Working Group (BWG) proposes innovative modeling research focused on new precision oncology paradigms that are expected to re-define breast cancer control best practices. We selected significant topics where modeling is suited to fill evidence gaps and facilitate clinical and policy translation. Unique components of our approach include modeling of absolute risk of disease accounting for multiple risk factors, addressing important comorbidities—specifically type 2 diabetes—that affect both disease risk and survival, exploring emerging biomarker-based approaches for screening, providing guidance regarding precision systemic treatments and their impact on quality of life in survivors, and investigating race disparities. The specific aims are to: 1) Evaluate the impact of novel precision screening approaches; 2) Evaluate the impact of precision treatment paradigms in the adjuvant, neo-adjuvant, and metastatic setting; 3) Synthesize Aims 1 and 2 to quantify the contributions of precision screening and precision treatment to US breast cancer mortality reductions; and 4) Provide evidence to guide interventions to reduce race disparities by quantifying multiple risk, screening, treatment, and survival factors that impact disparities. This scope of work would not be feasible without the availability of six distinctive BWG models: Dana Farber (D), Erasmus (E), Georgetown- Einstein (GE), MD Anderson (M), Stanford (S) and Wisconsin-Harvard (W). The aims encompass multiple RFA priority areas, and we have set aside Rapid Response funds to address remaining priority areas, support cross-cancer CISNET collaborations, and foster junior career enhancement. Each aim includes three or more model groups selected for their unique structure and includes outside collaborators and junior investigators. The models will share common inputs and provide a standard set of outcomes for benefits (e.g., distant recurrences and deaths avoided, mortality reductions, distant disease-free survival, and life years and quality- adjusted life years), harms (e.g., false positives and benign biopsies, interval cancers, advanced stage diagnoses, overdiagnosis and treatment impact on quality of life), and costs. Continuously funded for the past 19 years, the modeling teams have published 204 research papers informing public health policy decisions and trained 13 junior investigators. For this proposal, the BWG will partner with the American Cancer Society, the American College of Radiology, the American Society of Clinical Oncology, the Breast Cancer Surveillance Consortium, and others. An experienced Coordinating Center provides the infrastructure to support the project goals including resource sharing and model accessibility. The exceptional environment provides unprecedented synergy and leveraging of resources to address new research questions and support career development that would not otherwise be possible. Overall, this research will advance modeling research and guide breast cancer control policy.

抽象的 CISNET乳房工作组（BWG）提议创新建模研究重点是新的精度预计将重新定义乳腺癌控制最佳实践的肿瘤学范例。我们选择了重要主题适合填补证据缺口并促进临床和政策翻译。我们方法的独特组成部分包括对疾病的绝对风险建模多种风险因素，解决重要合并症 - 特别是2型糖尿病的因素，都影响了疾病风险和生存，探索基于生物标志物的筛查方法，提供有关有关的指导精确的系统治疗及其对幸存者生活质量的影响，并调查种族分布。具体目的是：1）评估新颖的精确筛选方法的影响； 2）评估精确治疗范式在调整，新辅助和转移环境中的影响； 3）合成目的1和2量化精确筛查和精确治疗对美国乳腺癌的贡献降低死亡率； 4）提供证据来指导干预措施，以减少种族分布影响分布的多种风险，筛查，治疗和生存因素。这种工作范围不会可行的无六个独特的BWG模型的可行性：Dana Farber（D），Erasmus（E），Georgetown- 爱因斯坦（GE），医学博士安德森（M），斯坦福（S）和威斯康星 - 哈瓦德（Wisconsin-Harvard）（W）。目的包括多个RFA 优先领域，我们已经拨出快速响应资金来解决剩余的优先领域，支持跨职业人士Cisnet合作，并促进了初级职业的增强。每个目标包括三个或更多为其独特的结构选择了模型组，其中包括外部合作者和初级调查人员。这些模型将共享共同的输入，并为福利提供一组标准的结果（例如，遥远的避免复发和死亡，降低死亡率，远处无病的生存以及终身和质量调整后的生活年），危害（例如误报和良性活检，间隔癌，高级阶段诊断，过度诊断和治疗对生活质量的影响）和成本。不断资助过去 19年，建模团队发表了204个研究论文，向公共卫生政策决策和训练有素的13名初级调查员。对于这项建议，BWG将与美国癌症协会合作美国放射学院，美国临床肿瘤学会，乳腺癌监测财团等。经验丰富的协调中心提供了支持该项目的基础设施目标包括资源共享和模型可访问性。特殊环境提供空前的协同和利用资源来解决新的研究问题和支持职业否则不可能的发展。总体而言，这项研究将推动建模研究和指导乳腺癌控制政策。