Evidence map›Paper›PMID 35178191›Full record

ArticleOncotarget2022

Telomere shortening accelerates tumor initiation in the L2-IL1B mouse model of Barrett esophagus and emerges as a possible biomarker.

Vincenz Sahm, Carlo Maurer, Theresa Baumeister, Akanksha Anand, Julia Strangmann, Roland M Schmid, Timothy C Wang, Michael Quante

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2022. 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
1.3field-weighted citation impact, top 21% 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, 8 citations in OpenAlex.

  1. Review
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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

8 authors at 2 institutions in 2 countries.

Vincenz SahmII Medizinische Klinik, Technische Universität München, Munich, Germany.
Carlo MaurerII Medizinische Klinik, Technische Universität München, Munich, Germany.
Theresa BaumeisterII Medizinische Klinik, Technische Universität München, Munich, Germany.
Akanksha AnandII Medizinische Klinik, Technische Universität München, Munich, Germany.
Julia StrangmannII Medizinische Klinik, Technische Universität München, Munich, Germany.
Roland M SchmidII Medizinische Klinik, Technische Universität München, Munich, Germany.
Timothy C WangDepartment of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
Michael QuanteII Medizinische Klinik, Technische Universität München, Munich, Germany.
Technical University of Munich · DEColumbia University Irving Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Barrett's esophagus (BE) is a precursor of the esophageal adenocarcinoma (EAC). BE- development and its progression to cancer is associated with gastroesophageal reflux disease. However, there is currently no molecular risk prediction model that accurately identifies patients at high risk for EAC. Here, we investigated the impact of shortened telomeres in a mouse model for Barrett esophagus (L2-IL1B). The L2-IL1B mouse model is characterized by IL-1β-mediated inflammation, which leads to a Barrett-like metaplasia in the transition zone between the squamous forestomach and glandular cardia/stomach. Telomere shortening was achieved by mTERC knockout. In the second generation (G2) of mTERC knockout L2-IL1B.mTERC

Indexed as

Barrett EsophagusEsophageal NeoplasmsAdenocarcinomaAnimalsBiomarkersCell Transformation, NeoplasticDisease Models, AnimalHumansInterleukin-1betaMetaplasiaMiceTelomere ShorteningBiomarkersIL1B protein, humanInterleukin-1betaBarrett's esophagusesophageal cancerrisk factortelomere shorteningTERT/TERC

Identifiers

PMID35178191
PMCPMC8842791
OpenAlexW4213273632

What OpenQuestion holds

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LicenceCC BY
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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.