Multifactoral breast cancer risk prediction accounting for ethnic and tumor diversity

考虑种族和肿瘤多样性的多因素乳腺癌风险预测

基本信息

  • 批准号:
    10263893
  • 负责人:
  • 金额:
    $ 63.77万
  • 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:
    2020-09-15 至 2024-05-31
  • 项目状态:
    已结题

项目摘要

Abstract Breast cancer risk assessment tools are widely used in clinical practice to guide decisions regarding screening timing and modality, life-style interventions, genetic testing, preventive therapy, and risk-reducing surgery. Although a number of tools are used in practice, they face various challenges including: (i) modest discriminatory ability due to lack of a unified model that incorporates a comprehensive set of risk-factors; (ii) inability to produce sub-type specific risk, especially considering aggressive subtypes of breast cancer and/or prophylactic endocrine therapy that is effective only for hormone receptor positive tumors; (iii) lack of data to build models for different ethnic populations; and, (iv) scant validation of models, especially in healthcare settings where models can be widely disseminated in practice. In this proposal, we will assimilate and analyze data on a large and diverse sample of women from studies participating in the NCI Cohort Consortium to develop a comprehensive tool that will predict breast cancer risk, overall and by sub-types, across major ethnic groups in the US. We further propose to prospectively validate the model in different clinical settings, including a risk-stratified screening trial. In Aim 1 we will develop a comprehensive model for predicting absolute risk of overall breast cancer for women from multiple ethnicities, incorporating information on family history; polygenic risk-scores (PRS); anthropometric, life-style and reproductive factors; hormonal biomarkers; and mammographic density. In Aim 2 we will tailor these risk models to specific breast cancer subtypes, notably estrogen receptor negative and positive cancers. In Aim 3 we will evaluate the validity of these risk prediction models in integrated health care systems, mammography registries, and an ongoing risk-based mammographic screening trial in the US. The resulting models could be used in diverse clinical settings to guide preventive therapy or risk-stratified screening programs, increasing the number of breast cancer deaths prevented while minimizing overdiagnosis and overtreatment.
摘要 乳腺癌风险评估工具在临床实践中被广泛用于指导有关筛查的决策 时机和方式、生活方式干预、基因检测、预防性治疗和降低风险的手术。 虽然在实践中使用了一些工具,但它们面临着各种挑战,包括: 由于缺乏一个包含一整套风险因素的统一模式,歧视能力不足; ㈡ 不能产生亚型特异性风险,特别是考虑到乳腺癌的侵袭性亚型和/或 仅对激素受体阳性肿瘤有效的预防性内分泌治疗;(iii)缺乏数据, 为不同的种族群体建立模型;以及(iv)模型的验证不足,特别是在医疗保健方面 在实践中可以广泛传播模型的环境。在这个建议中,我们将吸收和分析 来自参加NCI队列联盟研究的大量不同女性样本的数据, 开发一种全面的工具,预测乳腺癌的风险,总体和亚型,在主要种族 在美国的团体。我们进一步建议在不同的临床环境中前瞻性地验证该模型,包括 风险分层筛选试验在目标1中,我们将开发一个综合模型,用于预测 多种族女性的总体乳腺癌,纳入家族史信息;多基因 风险评分(PRS);人体测量、生活方式和生殖因素;激素生物标志物;以及 乳房摄影密度在目标2中,我们将针对特定的乳腺癌亚型定制这些风险模型,特别是 雌激素受体阴性和阳性癌症。在目标3中,我们将评估这些风险预测的有效性 综合卫生保健系统中的模型、乳房X光检查登记处和正在进行的基于风险的 在美国进行的乳房X光筛查试验。由此产生的模型可用于不同的临床环境, 指导预防性治疗或风险分层筛查计划,增加乳腺癌死亡人数 避免过度诊断和过度治疗。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Nilanjan Chatterjee其他文献

Nilanjan Chatterjee的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Nilanjan Chatterjee', 18)}}的其他基金

Statistical Methods for Data Integration and Applications to Genome-wide Association Studies
数据集成的统计方法及其在全基因组关联研究中的应用
  • 批准号:
    10889298
  • 财政年份:
    2023
  • 资助金额:
    $ 63.77万
  • 项目类别:
Multifactoral breast cancer risk prediction accounting for ethnic and tumor diversity
考虑种族和肿瘤多样性的多因素乳腺癌风险预测
  • 批准号:
    10609504
  • 财政年份:
    2020
  • 资助金额:
    $ 63.77万
  • 项目类别:
Multifactoral breast cancer risk prediction accounting for ethnic and tumor diversity
考虑种族和肿瘤多样性的多因素乳腺癌风险预测
  • 批准号:
    10416066
  • 财政年份:
    2020
  • 资助金额:
    $ 63.77万
  • 项目类别:
Robust Methods for Polygenic Analysis to Inform Disease Etiology and Enhance Risk Prediction
多基因分析的稳健方法可告知疾病病因并增强风险预测
  • 批准号:
    9920753
  • 财政年份:
    2019
  • 资助金额:
    $ 63.77万
  • 项目类别:
Robust Methods for Polygenic Analysis to Inform Disease Etiology and Enhance Risk Prediction
多基因分析的稳健方法可告知疾病病因并增强风险预测
  • 批准号:
    10359748
  • 财政年份:
    2019
  • 资助金额:
    $ 63.77万
  • 项目类别:
Robust Methods for Polygenic Analysis to Inform Disease Etiology and Enhance Risk Prediction
多基因分析的稳健方法可告知疾病病因并增强风险预测
  • 批准号:
    10112944
  • 财政年份:
    2019
  • 资助金额:
    $ 63.77万
  • 项目类别:
Robust Methods for Polygenic Analysis to Inform Disease Etiology and Enhance Risk Prediction
多基因分析的稳健方法可告知疾病病因并增强风险预测
  • 批准号:
    10579942
  • 财政年份:
    2019
  • 资助金额:
    $ 63.77万
  • 项目类别:
Methods for Epidemiology Studies
流行病学研究方法
  • 批准号:
    8565443
  • 财政年份:
  • 资助金额:
    $ 63.77万
  • 项目类别:
Methods for Epidemiology Studies
流行病学研究方法
  • 批准号:
    9154202
  • 财政年份:
  • 资助金额:
    $ 63.77万
  • 项目类别:
Methods for Epidemiology Studies
流行病学研究方法
  • 批准号:
    7733737
  • 财政年份:
  • 资助金额:
    $ 63.77万
  • 项目类别:

相似海外基金

Rural-urban water reallocation, inequity and vulnerability of rural populations: causal mechanisms in Asia and Africa
城乡水资源重新分配、农村人口的不平等和脆弱性:亚洲和非洲的因果机制
  • 批准号:
    24K03159
  • 财政年份:
    2024
  • 资助金额:
    $ 63.77万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Religious Practices and Politics "from below" in Asia and Africa : An Anthropological Approach
亚洲和非洲“自下而上”的宗教实践和政治:人类学方法
  • 批准号:
    23H00746
  • 财政年份:
    2023
  • 资助金额:
    $ 63.77万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Using the EPIC model to build transdisciplinary communities of practice that effectively address urban resilience in Africa and Asia
使用 EPIC 模型建立跨学科实践社区,有效解决非洲和亚洲的城市复原力问题
  • 批准号:
    2103692
  • 财政年份:
    2022
  • 资助金额:
    $ 63.77万
  • 项目类别:
    Standard Grant
Religiosity and Civil society among the Digital Native Generation in Africa and Asia
非洲和亚洲数字原住民一代的宗教信仰和公民社会
  • 批准号:
    22KK0013
  • 财政年份:
    2022
  • 资助金额:
    $ 63.77万
  • 项目类别:
    Fund for the Promotion of Joint International Research (Fostering Joint International Research (B))
The timing and geography of African ape and human origins: New evidence from Europe, Africa and Asia.
非洲猿和人类起源的时间和地理:来自欧洲、非洲和亚洲的新证据。
  • 批准号:
    RGPIN-2016-06761
  • 财政年份:
    2021
  • 资助金额:
    $ 63.77万
  • 项目类别:
    Discovery Grants Program - Individual
Inter-regional study of transmission, adaptation and pathogenesis of viruses with pandemic potential in Southeast Asia and West/Central Africa
对东南亚和西非/中非具有大流行潜力的病毒的传播、适应和发病机制进行区域间研究
  • 批准号:
    10426422
  • 财政年份:
    2021
  • 资助金额:
    $ 63.77万
  • 项目类别:
Global Grass-roots Movements of Persons with Psychosocial Disabilities: Focusing on Asia, Africa and Latin America
全球社会心理障碍者草根运动:聚焦亚洲、非洲和拉丁美洲
  • 批准号:
    21K13453
  • 财政年份:
    2021
  • 资助金额:
    $ 63.77万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Inter-regional study of transmission, adaptation and pathogenesis of viruses with pandemic potential in Southeast Asia and West/Central Africa
对东南亚和西非/中非具有大流行潜力的病毒的传播、适应和发病机制进行区域间研究
  • 批准号:
    10428559
  • 财政年份:
    2020
  • 资助金额:
    $ 63.77万
  • 项目类别:
Globalization from Below: Circular Migrations between South Asia and Africa, c. 1850-2000 (GloBe)
自下而上的全球化:南亚和非洲之间的循环移民,c.
  • 批准号:
    436538816
  • 财政年份:
    2020
  • 资助金额:
    $ 63.77万
  • 项目类别:
    Heisenberg Grants
Inter-regional study of transmission, adaptation and pathogenesis of viruses with pandemic potential in Southeast Asia and West/Central Africa
对东南亚和西非/中非具有大流行潜力的病毒的传播、适应和发病机制进行区域间研究
  • 批准号:
    10626183
  • 财政年份:
    2020
  • 资助金额:
    $ 63.77万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了