Evidence map›Paper›PMID 41059926›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2026

Discovery and Validation of Molecular Biomarkers for Differentiation of Nondysplastic Barrett's Esophagus from High-grade Dysplasia and Esophageal Adenocarcinoma.

Caroline L Matchett, Seth W Slettedahl, William R Taylor, Calise K Berger, Caryn E Anderson, Melissa A Passe, Ramona M Lansing, Panwen Wang, Collin E Chalmers, Patrick H Foote and 13 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Biomarker Use in Barrett's Esophagus Surveillance.The American journal of gastroenterology · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Caroline L MatchettDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-0663-826X
Seth W SlettedahlDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-3398-3608
William R TaylorDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.ORCID 0009-0001-2902-0158
Calise K BergerDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.ORCID 0009-0006-1407-7895
Caryn E AndersonDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.ORCID 0009-0003-8801-9506
Melissa A PasseDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.ORCID 0009-0001-7556-0235
Ramona M LansingDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.ORCID 0009-0001-4111-814X
Panwen WangDepartment of Quantitative Health Sciences, Mayo Clinic, Phoenix, Arizona.ORCID 0000-0002-4614-8970
Collin E ChalmersDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota.ORCID 0009-0009-7980-9497
Patrick H FooteDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.ORCID 0009-0001-9877-4797
Jeanette E Eckel-PassowDivision of Computational Biology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-6113-1114
Zhifu SunDivision of Computational Biology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-8461-7523
Douglas W MahoneyDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-5144-0645
D Chamil CodipillyDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-3197-0539
Cadman L LeggettDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-0495-3795
Francisco C RamirezDivision of Gastroenterology and Hepatology, Mayo Clinic, Scottsdale, Arizona.ORCID 0000-0003-4731-4982
Allon KahnDivision of Gastroenterology and Hepatology, Mayo Clinic, Scottsdale, Arizona.ORCID 0000-0002-1685-0865
Herbert C WolfsenDivision of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida.ORCID 0000-0002-6957-522X
Swathi EluriDivision of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida.ORCID 0000-0002-2839-1440
Vani J A KondaDivision of Gastroenterology and Hepatology, Baylor Scott and White Health, Dallas, Texas.ORCID 0000-0002-9932-8780
Arvind J TrindadeDivision of Gastroenterology, Rutgers University School of Medicine, New Brunswick, New Jersey.ORCID 0000-0002-4132-0014
Prasad G IyerDivision of Gastroenterology and Hepatology, Mayo Clinic, Scottsdale, Arizona.ORCID 0000-0002-9822-1420
John B KisielDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-3840-5324

Funding

Minimally Invasive Molecular Approaches for the Detection of Barrett’s Esophagus and Esophageal AdenocarcinomaR01CA241164 · NCI · MAYO CLINIC ROCHESTER · PI Jagpreet Chhatwal, Prasad G. Iyer · 2019 to 2026
$3.9M
Multi-site Gastrointestinal Cancer Detection by Stool DNA MethylationR37CA214679 · NCI · MAYO CLINIC ROCHESTER · PI KISIEL, JOHN · 2018 to 2024
$2.8M
Multi-cancer Early DetectionR01CA214679 · NCI · MAYO CLINIC ROCHESTER · PI John Kisiel, Niloy Jewel Samadder · 2025 to 2026
$891k
National Cancer Institute (NCI) CA214679National Cancer Institute (NCI) CA241164NCI NIH HHS R01 CA214679NCI NIH HHS R01 CA241164NCI NIH HHS R37 CA214679
6 · The paper itself

Abstract

Aberrant DNA methylation and copy-number alterations (CNA) drive Barrett's esophagus progression to esophageal adenocarcinoma; however, their combined utility for early detection is unclear. We aimed to identify and validate methylated DNA markers (MDM) and CNAs to distinguish esophageal adenocarcinoma/high-grade dysplasia (HGD) from nondysplastic Barrett's esophagus (NDBE). In this multiphase, multicenter study, we discovered and validated MDMs and quantified CNAs utilizing whole-genome methylation sequencing of esophageal brushings. DNA biomarkers identified from discovery were further validated in independent patients with paired esophageal brushing and swallowed capsule sponge samples. MDMs were filtered against a reduced representation bisulfite sequencing dataset obtained from independent tissue samples to advance only concordant candidates. CNA burden was quantified using ichorCNA-derived aneuploidy scores (AS). Two hundred MDMs discovered in HGD (N = 18) and esophageal adenocarcinoma (N = 18) versus NDBE brushing samples (N = 18) were tested in independent samples (N = 146). A 52-MDM panel achieved a cross-validated AUC of 0.88 [95% confidence interval (CI), 0.82-0.95]; the addition of AS improved discrimination of HGD/esophageal adenocarcinoma from NDBE to 0.91 (95% CI, 0.86-0.97) AUC. At 80% specificity, the combined model detected 93% of esophageal adenocarcinoma and 88% of HGD cases. In paired capsule sponge samples, a 58-MDM panel achieved a cross-validated AUC of 0.77 (95% CI, 0.66-0.88); a combined 58-MDM and AS model achieved AUC 0.80 (95% CI, 0.7-0.9). MDMs and AS discerned HGD/esophageal adenocarcinoma from normal esophagus/NDBE in endoscopic brushing and capsule sponge samples. This approach may improve Barrett's esophagus surveillance. PREVENTION RELEVANCE: This study demonstrates that combining epigenetic and genomic biomarkers across minimally invasive sampling methods can accurately distinguish HGD/esophageal adenocarcinoma from nondysplastic Barrett's esophagus, offering promising, less invasive strategies to improve BE surveillance and enable endoscopic therapy for esophageal adenocarcinoma prevention and treatment.

Indexed as

AdenocarcinomaBarrett EsophagusBiomarkers, TumorEsophageal NeoplasmsPrecancerous ConditionsAgedDiagnosis, DifferentialDNA Copy Number VariationsDNA MethylationEarly Detection of CancerFemaleHumansMaleMiddle AgedWhole Genome SequencingBiomarkers, Tumor

Identifiers

PMID41059926
PMCPMC12770938

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.