Evidence map›Paper›PMID 31934893›Full record

ArticleClinical and translational gastroenterology2020

Differential MicroRNA Signatures in the Pathogenesis of Barrett's Esophagus.

Michael P Craig, Sumudu Rajakaruna, Oleg Paliy, Mumtaz Sajjad, Srivats Madhavan, Nikhil Reddy, Jin Zhang, Michael Bottomley, Sangeeta Agrawal, Madhavi P Kadakia

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. New Approaches to Screening for Barrett Esophagus.Gastroenterology & hepatology · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. New Techniques to Screen for Barrett Esophagus.Gastroenterology & hepatology · 2023
    Article
  11. Article
  12. Review
  13. Article
  14. Salivary biomarkers and esophageal disorders.Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus · 2022
    Review
  15. Review
  16. Article
  17. Review
  18. Screening for Barrett's Oesophagus: Are We Ready for it?Current treatment options in gastroenterology · 2021
    Review
  19. Review
  20. 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

10 authors at 2 institutions in 1 country.

Michael P CraigDepartment of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, Ohio, USA.
Sumudu RajakarunaDepartment of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, Ohio, USA.
Oleg PaliyDepartment of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, Ohio, USA.
Mumtaz SajjadDayton VA Medical Center, Dayton, Ohio, USA.
Srivats MadhavanDayton VA Medical Center, Dayton, Ohio, USA.
Nikhil ReddyDepartment of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, Ohio, USA.
Jin ZhangDepartment of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, Ohio, USA.
Michael BottomleyStatistical Consulting Center, Wright State University, Dayton, Ohio, USA.
Sangeeta AgrawalDayton VA Medical Center, Dayton, Ohio, USA.
Madhavi P KadakiaDepartment of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, Ohio, USA.
Wright State University · USDayton VA Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesBarrett's esophagus (BE) is the precursor lesion and a major risk factor for esophageal adenocarcinoma (EAC). Although patients with BE undergo routine endoscopic surveillance, current screening methodologies have proven ineffective at identifying individuals at risk of EAC. Since microRNAs (miRNAs) have potential diagnostic and prognostic value as disease biomarkers, we sought to identify an miRNA signature of BE and EAC.

methodsHigh-throughput sequencing of miRNAs was performed on serum and tissue biopsies from 31 patients identified either as normal, gastroesophageal reflux disease (GERD), BE, BE with low-grade dysplasia (LGD), or EAC. Logistic regression modeling of miRNA profiles with Lasso regularization was used to identify discriminating miRNA. Quantitative reverse transcription polymerase chain reaction was used to validate changes in miRNA expression using 46 formalin-fixed, paraffin-embedded specimens obtained from normal, GERD, BE, BE with LGD or HGD, and EAC subjects.

resultsA 3-class predictive model was able to classify tissue samples into normal, GERD/BE, or LGD/EAC classes with an accuracy of 80%. Sixteen miRNAs were identified that predicted 1 of the 3 classes. Our analysis confirmed previous reports indicating that miR-29c-3p and miR-193b-5p expressions are altered in BE and EAC and identified miR-4485-5p as a novel biomarker of esophageal dysplasia. Quantitative reverse transcription polymerase chain reaction validated 11 of 16 discriminating miRNAs. DISCUSSION: Our data provide an miRNA signature of normal, precancerous, and cancerous tissue that may stratify patients at risk of progressing to EAC. We found that serum miRNAs have a limited ability to distinguish between disease states, thus limiting their potential utility in early disease detection.

Indexed as

AdenocarcinomaAdultAgedAged, 80 and overBarrett EsophagusCase-Control StudiesDiscriminant AnalysisEsophageal NeoplasmsEsophagusGastroesophageal RefluxHumansLogistic ModelsMicroRNAsMiddle AgedNeoplasm GradingReverse Transcriptase Polymerase Chain ReactionMicroRNAs

Identifiers

PMID31934893
PMCPMC7056055
OpenAlexW2800738255

What OpenQuestion holds

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LicenceCC BY
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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.