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:10212990
- 负责人:
- 金额:$ 50.67万
- 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
- 来源:
- 关键词:AwardBiopsyCancer ControlCase Fatality RatesCellsCharacteristicsClinical ResearchCollaborationsColorectal CancerCost AnalysisDataDevicesEffectivenessEndoscopyEsophageal AdenocarcinomaEsophagusFinancial costFoundationsFundingFutureGoalsHealth systemHealthcare SystemsHistologicIncidenceIndividualLife ExpectancyLogisticsMalignant NeoplasmsMalignant neoplasm of esophagusMass ScreeningMethodsModalityModelingMorbidity - disease rateNatural HistoryPatientsPerformancePopulationPreventionPrimary Health CareProceduresProviderRegimenResearchResearch PersonnelResearch Project GrantsRiskSamplingScreening for cancerTechnologyTestingWestern WorldWorkbaseburden of illnesscostcost effectivecost effectivenesscost estimateexperiencehigh riskimprovedindividual patientinnovationinsightmembermodels and simulationmortalitynew technologynovelnovel strategiespersonalized approachpersonalized screeningprimary care settingprofiles in patientsscreeningscreening program
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.
该项目的目标是降低食管癌患者的发病率和死亡率
患有这种癌症的患者仍然面临着极低的生存率和很高的病死率。
腺癌(EAC)是美国最常见的食管恶性肿瘤组织学类型,
在过去的四十年里,许多地方的发病率都经历了惊人的快速且基本上无法解释的上升
西方世界此前曾尝试控制与 EAC 相关的发病率和死亡率。
重点关注内窥镜筛查,这是一种侵入性且昂贵的创新新技术。
食管癌筛查的侵入性较小且成本较高,这为降低
筛查的门槛是否可能是一个现实的选择,特别是对于那些风险较高的人来说。
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
我们建议研究患者、提供者和医疗保健系统的潜在因素。
可能会妨碍筛查计划。
该 R01 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。
将为当前的研究项目提供异常坚实的基础。
经验丰富的研究人员为该项目提供了必要的广泛和补充的专业知识,并且
拥有成功合作的记录。
我们提案的首要前提是食管癌筛查的新方法具有
降低 EAC 死亡率的潜力,但成功实施和人口影响将取决于
1) 筛查方式特征;2) 患者、提供者和卫生系统的障碍;以及 3)
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,我们将使用经过验证的食管癌模拟模型来测试和评估细胞是否
采样装置对于人群筛查来说具有成本效益,在目标 2 中,我们将研究潜在的患者,
对于目标 3,我们将个性化筛查。
最后,目标 4 将评估人群。
食管癌筛查策略的潜在实施对癌症控制的影响
先前的目标。
到奖励期结束时,我们将开发出一种个性化的有针对性的 EAC 筛查方法,即
合理且具有成本效益。
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)
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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:
$ 50.67万 - 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:
$ 50.67万 - 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:
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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
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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:
$ 50.67万 - 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
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$ 50.67万 - 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:
$ 50.67万 - 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:
$ 50.67万 - 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:
10413908 - 财政年份:2020
- 资助金额:
$ 50.67万 - 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
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