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:
  • 金额:
    $ 50.38万
  • 依托单位:
  • 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

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.
摘要

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Oguzhan Alagoz其他文献

Oguzhan Alagoz的其他文献

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{{ truncateString('Oguzhan Alagoz', 18)}}的其他基金

Estimating and Mitigating Thyroid Cancer Overdiagnosis: A Mathematical Modeling Approach
估计和减轻甲状腺癌过度诊断:数学建模方法
  • 批准号:
    10623193
  • 财政年份:
    2020
  • 资助金额:
    $ 50.38万
  • 项目类别:
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
  • 批准号:
    10251326
  • 财政年份:
    2020
  • 资助金额:
    $ 50.38万
  • 项目类别:
Estimating and Mitigating Thyroid Cancer Overdiagnosis: A Mathematical Modeling Approach
估计和减轻甲状腺癌过度诊断:数学建模方法
  • 批准号:
    10239049
  • 财政年份:
    2020
  • 资助金额:
    $ 50.38万
  • 项目类别:
Estimating and Mitigating Thyroid Cancer Overdiagnosis: A Mathematical Modeling Approach
估计和减轻甲状腺癌过度诊断:数学建模方法
  • 批准号:
    10307232
  • 财政年份:
    2020
  • 资助金额:
    $ 50.38万
  • 项目类别:
Comparative Modeling of Precision Breast Cancer Control Across the Translational Continuum - Supplement
跨转化连续体的乳腺癌精准控制的比较模型 - 补充
  • 批准号:
    10380482
  • 财政年份:
    2020
  • 资助金额:
    $ 50.38万
  • 项目类别:
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
  • 批准号:
    10456859
  • 财政年份:
    2020
  • 资助金额:
    $ 50.38万
  • 项目类别:
Estimating and Mitigating Thyroid Cancer Overdiagnosis: A Mathematical Modeling Approach
估计和减轻甲状腺癌过度诊断:数学建模方法
  • 批准号:
    10031384
  • 财政年份:
    2020
  • 资助金额:
    $ 50.38万
  • 项目类别:
Estimating and Mitigating Thyroid Cancer Overdiagnosis: A Mathematical Modeling Approach
估计和减轻甲状腺癌过度诊断:数学建模方法
  • 批准号:
    10415124
  • 财政年份:
    2020
  • 资助金额:
    $ 50.38万
  • 项目类别:
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
  • 批准号:
    10674788
  • 财政年份:
    2020
  • 资助金额:
    $ 50.38万
  • 项目类别:
Estimating and Mitigating Thyroid Cancer Overdiagnosis: A Mathematical Modeling Approach
估计和减轻甲状腺癌过度诊断:数学建模方法
  • 批准号:
    10524185
  • 财政年份:
    2020
  • 资助金额:
    $ 50.38万
  • 项目类别:

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