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Diagnosis of Esophageal Squamous Cell Carcinoma in Low-Income Countries

Diagnosis of Esophageal Squamous Cell Carcinoma in Low-Income Countries
低收入国家食管鳞状细胞癌的诊断
批准号:
10325590
负责人:
Daniel Gregory Lunz
金额:
$40.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-21 至 2023-09-27

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中文摘要
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英文摘要
Esophageal squamous cell carcinoma (ESCC) causes more than 509,000 deaths per year worldwide, and over 80% of these cases occur in low- and middle-income countries (LMICs). In the settings where it is available and affordable, ESCC diagnosis is made using the highly invasive and expensive procedure known as esophagogastroduodenoscopy (EGD, also referred to as upper endoscopy). However, citizens of underdeveloped countries often do not have widespread access to EGD; thus, there is a pressing need for easier, safer, cheaper, more accessible ESCC diagnostic strategies. We have developed a strategy based on our exciting preliminary data in ESCC patients: a swallowable, retrievable sponge-capsule device (EsophaCap) combined with a sensitive, specific DNA methylation biomarker panel (JHU patent pending) and machine learning classifiers. Capsulomics, Inc., a startup company from Johns Hopkins University, will commercialize this assay, termed “EsoCAN,” for ESCC diagnosis. The goal of this project is to explore the feasibility and development of a non-endoscopic diagnostic test as a more convenient, inexpensive, and more widely usable alternative to EGD in LMICs. Ultimately, this test, when applied to at-risk populations, is likely to significantly improve survival and quality of life. As an initial step toward this goal, we will pursue the following Specific Aims: Aim 1, analytical and clinical validation of quantitative methylation-specific PCR (qMSP) assays for 5 candidate loci: cg20655070, SLC35F1, TAC1, ZNF132, and ZNF542, including a pilot study of EsophaCap collected specimens from 50 ESCC patients and 70 controls, and Aim 2, creation of multivariate machine learning (ML) diagnostic biomarker models. In Phase II, we will further develop and evaluate our non-endoscopic diagnostic test in a larger patient cohort for accuracy of ESCC diagnosis in LMICs.
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A Novel Strategy for Diagnosis of Esophageal Adenocarcinoma.
  • 批准号:
    10009836
  • 项目类别:
  • 资助金额:
    $25.08万
  • 财政年份:
    2020
  • 负责人:
    Daniel Gregory Lunz
  • 依托单位:
海外基金