A Personalized Approach to Targeted Esophageal Cancer Screening

针对性食管癌筛查的个性化方法

基本信息

  • 批准号:
    10413908
  • 负责人:
  • 金额:
    $ 48.92万
  • 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:
    2020-07-08 至 2025-06-30
  • 项目状态:
    未结题

项目摘要

The goal of the project is to diminish the morbidity and mortality associated with esophageal cancer as patients with this cancer continue to suffer from extremely poor survival and high case-fatality rates. Esophageal adenocarcinoma (EAC) is the most common histologic type of esophageal malignancy in the US and has experienced an alarmingly rapid and largely unexplained rise in incidence over the past four decades in much of the western world. Previous attempts to curb the morbidity and mortality associated with EAC in the US have focused on an endoscopic screening, which is invasive and costly. However, innovative new technologies for esophageal cancer screening that are both less invasive and costly have created the opportunity to lower the bar for screening to where it could be a realistic option, particularly for those who are higher risk. While the performance metrics of the device are important, equally critical are identifying and resolving barriers to implementation. We propose to study potential factors for patients, providers and health care systems that could impede screening programs. This R01 proposal will leverage a previously developed and validated natural history simulation model of EAC. The PI has made significant contributions to the fields of esophageal cancer screening, prevention and treatment utilizing the EAC model to assess and analyze critical aspects of EAC cancer control. The prior work and model will provide an exceptionally strong foundation for the current research project. The research team is comprised of experienced investigators who provide the broad and complementary expertise necessary for this project and have a track record of successful collaboration. The overarching premise of our proposal is that novel approaches to esophageal cancer screening have the potential to improve EAC mortality, but that the successful implementation and population impact will depend on: 1) the screening modality characteristics; 2) patient, provider, and health system’s barriers; and 3) the profile of the patients to be screened. We will accomplish these project goals by completing four specific aims. In Aim 1 we will use our validated simulation model of esophageal cancer to test and assess whether a cell sampling device can be cost-effective for population screening. In Aim 2 we will study potential patient, provider and health system barriers to esophageal cancer screening. For Aim 3 we will personalize screening by determining which patient profiles will benefit from screening. Finally, in Aim 4 will assess the population cancer control impact of the potential implementation of the esophageal cancer screening strategy defined by the prior aims. By award period end, we will have developed a personalized approach to targeted EAC screening that is rational and cost-effective.
该项目的目标是减少与食管癌相关的发病率和死亡率, 癌症患者的存活率极低,病死率很高。食管 腺癌(EAC)是美国最常见的食管恶性肿瘤的组织学类型, 在过去的四十年里, 西方世界。在美国,以前试图抑制与EAC相关的发病率和死亡率 都集中在内窥镜检查上,这是侵入性的和昂贵的。然而,创新的新技术 对于食管癌筛查,侵入性较小且成本较高, 筛查的障碍,它可能是一个现实的选择,特别是对那些谁是高风险。 虽然设备的性能指标很重要,但识别和解决障碍也同样重要 到实施。我们建议研究患者、提供者和卫生保健系统的潜在因素, 可能会妨碍筛查项目 该R 01提案将利用先前开发和验证的EAC自然历史模拟模型。 PI在食管癌筛查、预防和治疗领域做出了重大贡献 利用EAC模型评估和分析EAC癌症控制的关键方面。先前的工作和模型 将为目前的研究项目提供一个非常坚实的基础。研究团队由 经验丰富的调查人员,他们提供了本项目所需的广泛和互补的专业知识, 有成功合作的记录。 我们建议的首要前提是,食管癌筛查的新方法具有 改善EAC死亡率的潜力,但成功实施和人口影响将取决于 关于:1)筛查模式特征; 2)患者,提供者和卫生系统的障碍; 3) 要筛选的患者的特征。我们将通过完成四个具体目标来实现这些项目目标。 在目标1中,我们将使用我们验证的食管癌模拟模型来测试和评估细胞是否 采样装置可用于人群筛查,具有成本效益。在目标2中,我们将研究潜在的患者, 提供者和卫生系统对食管癌筛查的障碍。对于目标3,我们将个性化筛选 通过确定哪些患者特征将从筛查中受益。最后,目标4将评估人口 食管癌筛查策略的潜在实施对癌症控制的影响 的首要目标。 到奖励期结束时,我们将开发出一种个性化的方法来进行有针对性的EAC筛查, 合理且具有成本效益。

项目成果

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会议论文数量(0)
专利数量(0)

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Chin Hur其他文献

Chin Hur的其他文献

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{{ truncateString('Chin Hur', 18)}}的其他基金

Domain-Knowledge Informed Deep Learning for Early Detection of Pancreatic Cancer
基于领域知识的深度学习用于胰腺癌的早期检测
  • 批准号:
    10458067
  • 财政年份:
    2021
  • 资助金额:
    $ 48.92万
  • 项目类别:
Comparative modeling of gastric cancer disparities and prevention in the US and globally
美国和全球胃癌差异和预防的比较模型
  • 批准号:
    10330855
  • 财政年份:
    2021
  • 资助金额:
    $ 48.92万
  • 项目类别:
Optimal Colorectal Cancer Surveillance Strategy for Lynch Syndrome by Genotype
按基因型分类的林奇综合征最佳结直肠癌监测策略
  • 批准号:
    10458721
  • 财政年份:
    2021
  • 资助金额:
    $ 48.92万
  • 项目类别:
Optimal Colorectal Cancer Surveillance Strategy for Lynch Syndrome by Genotype
按基因型分类的林奇综合征最佳结直肠癌监测策略
  • 批准号:
    10298217
  • 财政年份:
    2021
  • 资助金额:
    $ 48.92万
  • 项目类别:
Optimal Colorectal Cancer Surveillance Strategy for Lynch Syndrome by Genotype
按基因型分类的林奇综合征最佳结直肠癌监测策略
  • 批准号:
    10674701
  • 财政年份:
    2021
  • 资助金额:
    $ 48.92万
  • 项目类别:
Comparative modeling of gastric cancer disparities and prevention in the US and globally
美国和全球胃癌差异和预防的比较模型
  • 批准号:
    10705668
  • 财政年份:
    2021
  • 资助金额:
    $ 48.92万
  • 项目类别:
Domain-Knowledge Informed Deep Learning for Early Detection of Pancreatic Cancer
基于领域知识的深度学习用于胰腺癌的早期检测
  • 批准号:
    10317236
  • 财政年份:
    2021
  • 资助金额:
    $ 48.92万
  • 项目类别:
A Personalized Approach to Targeted Esophageal Cancer Screening
针对性食管癌筛查的个性化方法
  • 批准号:
    10212990
  • 财政年份:
    2020
  • 资助金额:
    $ 48.92万
  • 项目类别:
A Personalized Approach to Targeted Esophageal Cancer Screening
针对性食管癌筛查的个性化方法
  • 批准号:
    10661535
  • 财政年份:
    2020
  • 资助金额:
    $ 48.92万
  • 项目类别:
Controlling Esophageal Cancer: A Collaborative Modeling Approach
控制食管癌:协作建模方法
  • 批准号:
    9753971
  • 财政年份:
    2018
  • 资助金额:
    $ 48.92万
  • 项目类别:

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