Evidence map›Paper›PMID 28970723›Full record

ArticleWorld journal of gastroenterology2017

High yield reproducible rat model recapitulating human Barrett's carcinogenesis.

Daisuke Matsui, Ashten N Omstead, Juliann E Kosovec, Yoshihiro Komatsu, Emily J Lloyd, Hailey Raphael, Ronan J Kelly, Ali H Zaidi, Blair A Jobe

Open access · hybridAbstract readValidation Study
In one paragraph

Article in World journal of gastroenterology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Esophageal adenocarcinoma models: a closer look.Frontiers in molecular biosciences · 2024
    Review
  2. Review
  3. Inhibition of the BMP pathway prevents development of Barrett's-associated adenocarcinoma in a surgical rat model.Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus · 2022
    Article
  4. Agrin Loss in Barrett's Esophagus-Related Neoplasia and Its Utility as a Diagnostic and Predictive Biomarker.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  5. Article
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

9 authors at 5 institutions in 2 countries.

Daisuke MatsuiEsophageal and Lung Institute, Allegheny Health Network, Pittsburgh, PA 15224, United States.
Ashten N OmsteadEsophageal and Lung Institute, Allegheny Health Network, Pittsburgh, PA 15224, United States.
Juliann E KosovecEsophageal and Lung Institute, Allegheny Health Network, Pittsburgh, PA 15224, United States.
Yoshihiro KomatsuEsophageal and Lung Institute, Allegheny Health Network, Pittsburgh, PA 15224, United States.
Emily J LloydEsophageal and Lung Institute, Allegheny Health Network, Pittsburgh, PA 15224, United States.
Hailey RaphaelEsophageal and Lung Institute, Allegheny Health Network, Pittsburgh, PA 15224, United States.
Ronan J KellyDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins Hospital, Baltimore, MD 21231, United States.
Ali H ZaidiEsophageal and Lung Institute, Allegheny Health Network, Pittsburgh, PA 15224, United States.
Blair A JobeEsophageal and Lung Institute, Allegheny Health Network, Pittsburgh, PA 15224, United States. blair.jobe@ahn.org.
Lung Institute · USKanazawa University Hospital · JPSidney Kimmel Comprehensive Cancer Center · USAllegheny Health Network · USJohns Hopkins Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo efficiently replicate the biology and pathogenesis of human esophageal adenocarcinoma (EAC) using the modified Levrat model of end-to-side esophagojejunostomy.

methodsEnd-to-side esophagojejunostomy was performed on rats to induce gastroduodenoesophageal reflux to develop EAC. Animals were randomly selected and serially euthanized at 10 (n = 6), 17 (n = 8), 24 (n = 9), 31 (n = 6), 38 (n = 6), and 40 (n = 6) wk postoperatively. The esophagi were harvested for downstream histopathology and gene expression. Histological evaluation was completed to determine respective rates of carcinogenic development. Quantitative reverse transcription-polymerase chain reaction was performed to determine gene expression levels of

resultsThe overall study mortality was 15%. Causes of mortality included anastomotic leak, gastrointestinal hemorrhage, stomach ulcer perforation, respiratory infection secondary to aspiration, and obstruction due to tumor or late anastomotic stricture. 10 wk following surgery, 100% of animals presented with esophagitis. Barrett's esophagus (BE) was first observed at 10 wk, and was present in 100% of animals by 17 wk. Dysplasia was confirmed in 87.5% of animals at 17 wk, and increased to 100% by 31 wk. EAC was first observed in 44.4% of animals at 24 wk and increased to 100% by 40 wk. In addition, two animals at 38-40 wk post-surgery had confirmed macro-metastases in the lung/liver and small intestine, respectively.

conclusionEsophagojejunostomy was successfully replicated in rats with low mortality and a high tumor burden, which may facilitate broader adoption to study EAC development, progression, and therapeutics.

Indexed as

CarcinogenesisAdenocarcinomaAnastomosis, SurgicalAnimalsBarrett EsophagusBiomarkers, TumorDisease Models, AnimalDisease ProgressionEsophageal NeoplasmsEsophagusGastroesophageal RefluxHumansJejunumKeratin-19KeratinsMaleBiomarkers, TumorKeratin-19KeratinsKrt20 protein, ratMuc2 protein, ratMucin-2CytokeratinsEsophageal adenocarcinomaEsophagojejunostomyExperimental rat modelGastroesophageal reflux diseaseLevratMucin genes

Identifiers

PMID28970723
PMCPMC5597499
OpenAlexW2755628175

What OpenQuestion holds

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LicenceCC BY-NC
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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.