Discovery of Methylated DNA Biomarkers for Potential Non-Endoscopic Detection of Barrett's Esophagus and Esophageal Adenocarcinoma

Andrew Kalra, Ke Ma, Yulan Cheng, Hua Ling Tsai, Hao Wang, Leslie Cope, Yifan Yang, Daniel Lunz, Sarah Laun, Lisa Kann, Simran Jit, Yousra Ahmed, Shayan Gheshlaghi, Alan H. Tieu, Vincent Castillo, Russell Hales, Josephine Feliciano, Vincent Lam, Kristin Marrone, Ken HuiMichelle Ma, Robert Hughes, Venkata Akshintala, Kathy Bull-Henry, Jinny Ha, Karim Boudadi, Zacharia H. Foda, Richard Battaforano, Mouen Khashab, Eun Ji Shin, Olaya Brewer, Saowanee Ngamruengphong, Rachel Ganster, Blair A. Jobe, Pauline Zellenrath, Manon Spaander, Ali H. Zaidi, Stephen J. Meltzer*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Background and Aims:

We sought to develop a minimally-invasive, robust, accessible nonendoscopic strategy to diagnose Barrett's esophagus (BE), esophageal adenocarcinoma (EAC), and its immediate precursor lesion, high-grade dysplasia (HGD) based on methylated DNA biomarkers applied to a retrievable sponge-capsule device in a cohort representative of the BE population (i.e., mostly short-segment, non-dysplastic BE, NDBE).

Methods:

We identified 12 candidate methylation markers to distinguish normal vs. abnormal esophagus. These 12 markers were first assayed in 21-paired matched NDBE-normal esophageal tissues, then assessed in a case-control study of 234 esophageal samples collected using a sponge-capsule device. A classification algorithm was developed using Least Absolute Shrinkage and Selection Operator (LASSO) in a 199-patient training set and tested in an independent 35-patient test set.

Results:

Twelve markers (A1BG, C9orf50, cg00720137, FLI1, GRAMD1B, HOXB13, IRF4, KCNQ3, NTNG1, SPX, TBC1D30, and USP44) were significantly hypermethylated (i.e., all P<0.05) in BE vs. matched normal esophageal biopsies. A discriminatory three-gene LASSO panel (USP44, TBCD1D30, NELL1), adjusted for age and sex, accurately distinguished HGD or EAC from normal control patients in both training (AUC=0.911, 95%CI=0.863-0.959) and test (AUC=0.969, 95%CI=0.911-1.00) sets. In normal vs. NDBE/LGD/HGD/EAC patients, this algorithm exhibited AUCs of 0.862 (95%CI=0.812-0.912) and 0.864 (95%CI=0.745-0.982) in training and test sets, respectively. In normal vs. NDBE patients, the algorithm yielded AUCs of 0.819 (95%CI=0.748-0.889) and 0.776 (95%CI=0.583-0.968) in training and test sets, respectively.

Conclusions:

This discriminatory biomarker panel algorithm exemplifies a practical nonendoscopic strategy to diagnose BE, HGD, and EAC using a minimally-invasive sponge-capsule device coupled with DNA methylation markers.

Original languageEnglish
Article number10.14309/ajg.0000000000003323
JournalAmerican Journal of Gastroenterology
DOIs
Publication statusE-pub ahead of print - 17 Jan 2025

Bibliographical note

Publisher Copyright:
Copyright © 2025 by The American College of Gastroenterology. Unauthorized reproduction of this article is prohibited.

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