Barrett?s esophagus (BE) is the dangerous obligate premalignant precursor lesion of esophageal adenocarcinoma (EAC), one of the most rapidly increasing and lethal malignancies in the United States and Europe(3). EAC is rarely detected before it becomes invasive and untreatable, and 95% of EACs develop in patients not previously diagnosed with BE(19)(20). Patients diagnosed with BE, in contrast, have an excellent prognosis, since neoplasia is detected very early by periodic endoscopic surveillance. There is, however, no currently available screening test for BE. Clinical translation of minimally invasive, low-cost biomarker-based approaches to BE diagnosis will improve early EAC detection and increase overall survival. By combining our swallowable, retrievable esophageal sample collection sponge (EsophaCapTM) manufactured by our industrial partner, Capnostics, with our patented BE DNA methylation markers and our enhanced processing technique, Methylation-On-Beads (MOB) to maximize extraction and bisulfite conversion of DNA; and by establishing this assay in the CLIA-compliant laboratory of our industrial partner, MyGenetx, we can now make this assay widely available. Preliminary data demonstrate high diagnostic accuracy of our sponge-based biomarker test for BE. We will apply this strategy by pursuing the following Specific Aims:
Aim 1. To analytically validate our EsophaCapTM-based BE diagnostic assay.
Aim 1 a. First, using technical replicate EsophaCapTM specimens from 42 newly recruited BE patients and 42 non-BE controls, we will confirm the accuracy, robustness, and reliability of our BE diagnostic assay. Preliminary results in this context are also encouraging (see Table 2, Technical replicates).
Aim 1 b. Next, in these same 42 patients with known BE vs. 42 controls without BE, we will establish analytical concordance of EsophaCapTM-based data with matched tissue biopsy sample data.
Aim 2. To conduct a pilot study to validate a multivariate model for EsophaCapTM-based diagnosis of BE. Based on our already-collected EsophaCapTM-derived specimen training dataset (see Fig. 5), we have constructed a 3-marker prediction model for BE (Fig. 6). We will apply this model and the chosen cut- off threshold to a newly collected set of 50 untested samples (independent of the Aim 1 samples).
Aim 3. To prospectively test the combined sponge-methylation biomarker strategy in a test set cohort of BE patients vs. controls. Our assay will be performed in EsophaCapTM-derived samples from a prospectively- collected cohort of 80 BE patients and 240 controls. The multivariate model validated in Aim 2 will be applied to this test set of large patient population.
Aim 4. To industrialize our EsophaCapTM assay protocol. In parallel and simultaneously with Aims 1-3, we will establish all steps in our MOB-based DNA extraction, bisulfite modification and quantitative methylation-specific PCR (qMSP) protocol in the CLIA-compliant laboratory at MyGenetx. Assays performed in Aim 3 will be repeated by obtaining repeat sponges from the same patients, this time in the CLIA lab, and checked for accuracy by comparison to Aim 3 results.

Public Health Relevance

This application proposes a plan to industrialize our minimally invasive strategy to detect Barrett's esophagus (BE). This strategy comprises a swallowable, retrievable esophageal sponge (EsophaCapTM), coupled with our BE methylation biomarker panel and a nano-analytic method known as methylation on beads (MOB), which will be analytically and clinically validated and established in the CLIA lab of our industrial partner, MyGenetx.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project (R01)
Project #
5R01DK118250-03
Application #
10015265
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Hamilton, Frank A
Project Start
2018-08-01
Project End
2023-07-31
Budget Start
2020-08-01
Budget End
2021-07-31
Support Year
3
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Johns Hopkins University
Department
Dermatology
Type
Schools of Medicine
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21205
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Liu, Xi; Cheng, Yulan; Abraham, John M et al. (2018) Modeling Wnt signaling by CRISPR-Cas9 genome editing recapitulates neoplasia in human Barrett epithelial organoids. Cancer Lett 436:109-118