Evidence map›Paper›PMID 30670490›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2019

Methylation Biomarker Panel Performance in EsophaCap Cytology Samples for Diagnosing Barrett's Esophagus: A Prospective Validation Study.

Zhixiong Wang, Swetha Kambhampati Thiruvengadam, Yulan Cheng, Ke Ma, Cem Simsek, Alan H Tieu, John M Abraham, Xi Liu, Vishnu Prasath, Mark Duncan and 10 more

Open access · greenAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
7.1field-weighted citation impact, top 2% of its field
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

41 citing papers in PubMed, 59 citations in OpenAlex.

  1. Diagnostic and Prognostic Biomarkers for Barrett's Esophagus.Gastroenterology clinics of North America · 2026
    Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Carcinoma of Esophagus.Journal of gastroenterology and hepatology · 2025
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Algorithm Training and Testing for a Nonendoscopic Barrett's Esophagus Detection Test in Prospective Multicenter Cohorts.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2024
    Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. New Techniques to Screen for Barrett Esophagus.Gastroenterology & hepatology · 2023
    Article
  17. Article
  18. Novel DNA Methylation Biomarker Panel for Detection of Esophageal Adenocarcinoma and High-Grade Dysplasia.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 4 institutions in 2 countries.

Zhixiong Wang *Gastrointestinal Surgical Center, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Swetha Kambhampati Thiruvengadam *Division of Hematology/Oncology, Department of Medicine, Helen Diller Family Comprehensive Cancer Center, UCSF Medical Center, San Francisco, California.
Yulan Cheng *Division of Gastroenterology, Department of Medicine and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Ke MaDivision of Gastroenterology, Department of Medicine and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Cem SimsekDivision of Gastroenterology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Alan H TieuDivision of Gastroenterology, Department of Medicine and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.
John M AbrahamDivision of Gastroenterology, Department of Medicine and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Xi LiuDepartment of Pathology, the First Affiliated Hospital of Xi' an Jiaotong University, Xi' an, Shaanxi, China.
Vishnu PrasathDepartment of Surgery, Johns Hopkins University, Baltimore, Maryland.
Mark DuncanDepartment of Surgery, Johns Hopkins University, Baltimore, Maryland.
Alejandro StarkDepartments of Mechanical Engineering and Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland.
Alexander TrickDepartments of Mechanical Engineering and Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland.
Hua-Ling TsaiDivision of Biostatistics, Department of Oncology, Department of Medicine and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Hao WangDivision of Biostatistics, Department of Oncology, Department of Medicine and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Yulong HeGastrointestinal Surgical Center, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Mouen A KhashabDivision of Gastroenterology, Department of Medicine and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Saowanee NgamruengphongDivision of Gastroenterology, Department of Medicine and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Eun J ShinDivision of Gastroenterology, Department of Medicine and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Tza-Huei WangDepartment of Medicine, Johns Hopkins Hospital, Baltimore, Maryland.
Stephen J MeltzerDivision of Gastroenterology, Department of Medicine and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland. smeltzer@jhmi.edu.
Johns Hopkins University · USJohns Hopkins Hospital · USSun Yat-sen University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

Tumor Antigens for Individual Signatures and TherapyP50CA062924 · NCI · JOHNS HOPKINS UNIVERSITY · PI JAFFEE, ELIZABETH M. · 1993 to 2022
$54.6M
Academic-Industrial Partnership for Non-invasive Barrett's Esophagus DetectionR01DK118250 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI MELTZER, STEPHEN J · 2018 to 2022
$3.8M
T32: Predoctoral and Postdoctoral Training Program in Nanotechnology for Cancer ResearchT32CA153952 · NCI · JOHNS HOPKINS UNIVERSITY · PI Denis Wirtz · 2015 to 2026
$3.5M
Facile screening for esophageal cancer in LMICsUH3CA211457 · NCI · JOHNS HOPKINS UNIVERSITY · PI MELTZER, STEPHEN J, WANG, TZA-HUEI JEFF · 2019 to 2021
$2.8M
Facile screening for esophageal cancer in LMICsUG3CA211457 · NCI · JOHNS HOPKINS UNIVERSITY · PI MELTZER, STEPHEN J, WANG, TZA-HUEI JEFF · 2017 to 2018
$861k
NCI NIH HHS P50 CA062924NCI NIH HHS T32 CA153952NCI NIH HHS UG3 CA211457NCI NIH HHS UH3 CA211457NIDDK NIH HHS R01 DK118250
6 · The paper itself

Abstract

purposeBarrett's esophagus is the only known precursor of esophageal adenocarcinoma (EAC). Although endoscopy and biopsy are standard methods for Barrett's esophagus diagnosis, their high cost and risk limit their use as a screening modality. Here, we sought to develop a Barrett's esophagus detection method based on methylation status in cytology samples captured by EsophaCap using a streamlined sensitive technique, methylation on beads (MOB). EXPERIMENTAL

designWe conducted a prospective cohort study on 80 patients (52 in the training set; 28 in the test set). We used MOB to extract and bisulfite-convert DNA, followed by quantitative methylation-specific PCR to assess methylation levels of 8 previously selected candidate markers. Lasso regression was applied to establish a prediction model in the training set, which was then tested on the independent test set.

resultsIn the training set, five of eight candidate methylation biomarkers (

conclusionsEsophaCap, in combination with an epigenetic biomarker panel and the MOB method, is a promising, well-tolerated, low-cost esophageal sampling strategy for Barrett's esophagus diagnosis. This approach merits further prospective studies in larger populations.

Indexed as

BiomarkersCytodiagnosisDNA MethylationAdultAgedAged, 80 and overBarrett EsophagusCase-Control StudiesFemaleHumansMaleMiddle AgedProspective StudiesReal-Time Polymerase Chain ReactionReproducibility of ResultsROC CurveBiomarkers

Identifiers

PMID30670490
PMCPMC6594757
OpenAlexW2912862046

What OpenQuestion holds

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Registered trials

None linked

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.