Evidence map›Paper›PMID 32276404›Full record

ArticleCancers2020

A Novel Approach for Quantifying Cancer Cells Showing Hybrid Epithelial/Mesenchymal States in Large Series of Tissue Samples: Towards a New Prognostic Marker.

Louis Godin, Cédric Balsat, Yves-Rémi Van Eycke, Justine Allard, Claire Royer, Myriam Remmelink, Ievgenia Pastushenko, Nicky D'Haene, Cédric Blanpain, Isabelle Salmon and 2 more

Abstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Cancer spreading patterns based on epithelial-mesenchymal plasticity.Frontiers in cell and developmental biology · 2024
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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

12 authors.

Louis GodinDepartment of Pathology, Erasme Hospital, Université Libre de Bruxelles (ULB), Route de Lennik 808, 1070 Brussels, Belgium.ORCID 0000-0003-1681-5020
Cédric BalsatDIAPath, Center for Microscopy and Molecular Imaging, Université Libre de Bruxelles (ULB), CPI 305/1, Rue Adrienne Bolland, 8, 6041 Gosselies, Belgium.
Yves-Rémi Van EyckeDIAPath, Center for Microscopy and Molecular Imaging, Université Libre de Bruxelles (ULB), CPI 305/1, Rue Adrienne Bolland, 8, 6041 Gosselies, Belgium.ORCID 0000-0002-7131-1784
Justine AllardDIAPath, Center for Microscopy and Molecular Imaging, Université Libre de Bruxelles (ULB), CPI 305/1, Rue Adrienne Bolland, 8, 6041 Gosselies, Belgium.
Claire RoyerDepartment of Pathology, Erasme Hospital, Université Libre de Bruxelles (ULB), Route de Lennik 808, 1070 Brussels, Belgium.
Myriam RemmelinkDepartment of Pathology, Erasme Hospital, Université Libre de Bruxelles (ULB), Route de Lennik 808, 1070 Brussels, Belgium.
Ievgenia PastushenkoLaboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Route de Lennik 808, 1070 Brussels, Belgium.
Nicky D'HaeneDepartment of Pathology, Erasme Hospital, Université Libre de Bruxelles (ULB), Route de Lennik 808, 1070 Brussels, Belgium.ORCID 0000-0001-8100-377X
Cédric BlanpainLaboratory of Stem Cells and Cancer, Université Libre de Bruxelles (ULB), Route de Lennik 808, 1070 Brussels, Belgium.ORCID 0000-0002-4028-4322
Isabelle SalmonDepartment of Pathology, Erasme Hospital, Université Libre de Bruxelles (ULB), Route de Lennik 808, 1070 Brussels, Belgium.
Sandrine RoriveDepartment of Pathology, Erasme Hospital, Université Libre de Bruxelles (ULB), Route de Lennik 808, 1070 Brussels, Belgium.
Christine DecaesteckerDIAPath, Center for Microscopy and Molecular Imaging, Université Libre de Bruxelles (ULB), CPI 305/1, Rue Adrienne Bolland, 8, 6041 Gosselies, Belgium.

Funding

European Regional Development Fund and the Walloon Region of Belgium Wallonia-biomed; grant no. 411132-957270; project "CMMI-ULB"Fonds Erasme pour la Recherche Médicale "Bourse Convention d'Excellence de Gaiffier d'Emeville 2015-2021"
6 · The paper itself

Abstract

In cancer biology, epithelial-to-mesenchymal transition (EMT) is associated with tumorigenesis, stemness, invasion, metastasis, and resistance to therapy. Evidence of co-expression of epithelial and mesenchymal markers suggests that EMT should be a stepwise process with distinct intermediate states rather than a binary switch. In the present study, we propose a morphological approach that enables the detection and quantification of cancer cells with hybrid E/M states, i.e., which combine partially epithelial (E) and partially mesenchymal (M) states. This approach is based on a sequential immunohistochemistry technique performed on the same tissue section, the digitization of whole slides, and image processing. The aim is to extract quantitative indicators able to quantify the presence of hybrid E/M states in large series of human cancer samples and to analyze their relationship with cancer aggressiveness. As a proof of concept, we applied our methodology to a series of about a hundred urothelial carcinomas and demonstrated that the presence of cancer cells with hybrid E/M phenotypes at the time of diagnosis is strongly associated with a poor prognostic value, independently of standard clinicopathological features. Although validation on a larger case series and other cancer types is required, our data support the hybrid E/M score as a promising prognostic biomarker for carcinoma patients.

Indexed as

computational pathologyhybrid E/M statepartial EMTprognosisquantificationsequential immunohistochemistrytissue-based biomarkerurothelial carcinomawhole-slide imaging

Identifiers

PMID32276404
PMCPMC7226581

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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.