Evidence map›Paper›PMID 35204520›Full record

ArticleDiagnostics (Basel, Switzerland)2022

ALK, NUT, and TRK Do Not Play Relevant Roles in Gastric Cancer-Results of an Immunohistochemical Study in a Large Series.

Marie-Isabelle Glückstein, Sebastian Dintner, Silvia Miller, Dmytro Vlasenko, Gerhard Schenkirsch, Abbas Agaimy, Bruno Märkl, Bianca Grosser

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. 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
0.5field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Evaluation ofInternational journal of molecular sciences · 2025
    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

8 authors at 2 institutions in 1 country.

Marie-Isabelle GlücksteinGeneral Pathology and Molecular Diagnostics, Medical Faculty, University of Augsburg, 86159 Augsburg, Germany.
Sebastian DintnerGeneral Pathology and Molecular Diagnostics, Medical Faculty, University of Augsburg, 86159 Augsburg, Germany.
Silvia MillerGeneral Pathology and Molecular Diagnostics, Medical Faculty, University of Augsburg, 86159 Augsburg, Germany.
Dmytro VlasenkoGeneral, Visceral, and Transplantation Surgery, Medical Faculty, University of Augsburg, 86159 Augsburg, Germany.
Gerhard SchenkirschTumor Data Management, Medical Faculty, University of Augsburg, 86159 Augsburg, Germany.
Abbas AgaimyInstitute of Pathology, Friedrich-Alexander-University Erlangen-Nürnberg, University Hospital Erlangen, 91054 Erlangen, Germany.ORCID 0000-0002-0445-8161
Bruno MärklGeneral Pathology and Molecular Diagnostics, Medical Faculty, University of Augsburg, 86159 Augsburg, Germany.ORCID 0000-0002-7704-850X
Bianca GrosserGeneral Pathology and Molecular Diagnostics, Medical Faculty, University of Augsburg, 86159 Augsburg, Germany.
University of Augsburg · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ALK, NUT, and TRK are rare molecular aberrations that are pathognomonic for specific rare tumors. In low frequencies, however, they are found in a wide range of other tumor entities. This study aimed to investigate the frequency, association with clinicopathological characteristics, and prognosis of the immunohistochemical expressions of ALK, NUT, and TRK in 477 adenocarcinomas of the stomach and gastroesophageal junction. Seven cases (1.5%) showed an expression of TRK. In NGS, no

Indexed as

ALKgastric cancerimmunohistochemistryNUTTRK

Identifiers

PMID35204520
PMCPMC8870766
OpenAlexW4210936294

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.