Evidence map›Paper›PMID 32076815›Full record

ArticleVirchows Archiv : an international journal of pathology2020

Tumor proportion in colon cancer: results from a semiautomatic image analysis approach.

Benedikt Martin, Bettina Monika Banner, Eva-Maria Schäfer, Patrick Mayr, Matthias Anthuber, Gerhard Schenkirsch, Bruno Märkl

Erratum issuedAbstract read
In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Benedikt MartinInstitute of Pathology and Molecular Diagnostics, University Hospital Augsburg, Augsburg, Germany. benedikt.martin@uk-augsburg.de.ORCID https://orcid.org/0000-0002-2314-3261
Bettina Monika BannerInstitute of Pathology and Molecular Diagnostics, University Hospital Augsburg, Augsburg, Germany.
Eva-Maria SchäferInstitute of Pathology and Molecular Diagnostics, University Hospital Augsburg, Augsburg, Germany.
Patrick MayrInstitute of Pathology and Molecular Diagnostics, University Hospital Augsburg, Augsburg, Germany.
Matthias AnthuberDepartment of Visceral Surgery, University Hospital Augsburg, Augsburg, Germany.
Gerhard SchenkirschTumor Data Management, University Hospital Augsburg, Augsburg, Germany.
Bruno MärklInstitute of Pathology and Molecular Diagnostics, University Hospital Augsburg, Augsburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor stroma ratio (TSR) is a promising prognostic biomarker in colon cancer, which could provide additional risk stratification for therapy adaption. The objective of our study was the investigation of the prognostic significance of TSR at different tumor sites in a simple semiautomatic approach with the open-source program ImageJ. We investigated 206 pT3 and pT4 adenocarcinomas of no special type. According to our established thresholds, 31 tumors (15%) were classified as low tumor proportion (TP) (≤ 15% TP), 42 tumors (20%) were classified as high TP (≥ 54% TP), and 133 tumors (65%) were classified as medium TP. High and low TP were associated with an adverse overall survival in comparison to medium TP (p = 0.001 and p = 0.03). Furthermore, the TP was an independent risk factor of occurrence of distant metastasis next to T status, microsatellite status, and tumor budding. The 5-year survival rate was 49% in patients with high TP, 48% in patients with low TP, and 68% in patients with medium TP (p = 0.042, n = 160). Patients with a high TP had less often tumor budding (p = 0.012), lymphovascular invasion (p = 0.049), and less harvested lymph nodes (p = 0.042) in comparison to low TP tumors. The results provide first evidence that a high tumor proportion/low stroma proportion is also associated with an adverse prognosis and that this subgroup might be difficult to identify with other classical histopathologic characteristics that are linked to an adverse prognosis.

Indexed as

AdenocarcinomaAdultAgedAged, 80 and overColonic NeoplasmsDisease-Free SurvivalFemaleHumansLymphatic MetastasisMaleMiddle AgedPrognosisProportional Hazards ModelsStromal CellsSurvival RateBiomarkerColon cancerImageJTumor stroma ratio

Identifiers

PMID32076815
PMCPMC7985049

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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.