Evidence map›Paper›PMID 37845307›Full record

ArticleScientific reports2023

Tumour area infiltration and cell count in endoscopic biopsies of therapy-naive upper GI tract carcinomas by QuPath analysis: implications for predictive biomarker testing.

Andreas H Scheel, Hannah Lamberty, Yuri Tolkach, Florian Gebauer, Birgid Schoemig-Markiefka, Thomas Zander, Reinhard Buettner, Josef Rueschoff, Christiane Josephine Bruns, Wolfgang Schroeder and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

11 authors at 2 institutions in 1 country.

Andreas H Scheel *Institute of Pathology, University Hospital Cologne, Medical Faculty, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Hannah Lamberty *Institute of Pathology, University Hospital Cologne, Medical Faculty, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Yuri TolkachInstitute of Pathology, University Hospital Cologne, Medical Faculty, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Florian GebauerDepartment of General, Visceral and Cancer Surgery, University Hospital Cologne, Medical Faculty, University of Cologne, Cologne, Germany.
Birgid Schoemig-MarkiefkaInstitute of Pathology, University Hospital Cologne, Medical Faculty, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Thomas ZanderDepartment of Internal Medicine I, University Hospital Cologne, Medical Faculty, University of Cologne, Cologne, Germany.
Reinhard BuettnerInstitute of Pathology, University Hospital Cologne, Medical Faculty, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Josef RueschoffTargos Molecular Pathology GmbH, Kassel, Germany.
Christiane Josephine BrunsDepartment of General, Visceral and Cancer Surgery, University Hospital Cologne, Medical Faculty, University of Cologne, Cologne, Germany.
Wolfgang SchroederDepartment of General, Visceral and Cancer Surgery, University Hospital Cologne, Medical Faculty, University of Cologne, Cologne, Germany.
Alexander QuaasInstitute of Pathology, University Hospital Cologne, Medical Faculty, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany. alexander.quaas@uk-koeln.de.
University Hospital Cologne · DEUniversity of Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Guidelines regulate how many (tumour-bearing) tissue particles should be sampled during gastric cancer biopsy to obtain representative results in predictive biomarker testing. Little is known about how well these guidelines are applied, how the number of tissue particles correlates with the actual tumour-infiltrated area and how many absolute tumour cells are captured. The study included endoscopic biopsies of untreated carcinomas of the upper gastrointestinal (GI)-tract during the 2016-2020 review period. Archival (H&E)-stained histological sections were digitised and the tumour areas were manually annotated. The tumour-bearing tissue area and absolute carcinoma cell count per case were determined by image analysis and compared with a reference primary surgical specimen. Biopsies from 253 patients were analysed. The following mean values were determined: (a) tumour tissue particle number: 6.5 (range: 1-25, standard deviation (SD) = 3.33), (b) number of tumour-bearing tissue particles: 4.7 (range: 1-20, SD = 2.80), (c) tumour-infiltrated area: 7.5 mm

Indexed as

CarcinomaStomach NeoplasmsUpper Gastrointestinal TractBiomarkersBiopsyCell CountHumansBiomarkers

Identifiers

PMID37845307
PMCPMC10579338
OpenAlexW4387673960

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.