Evidence map›Paper›PMID 34168047›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2021

Intratumor CMS Heterogeneity Impacts Patient Prognosis in Localized Colon Cancer.

Laetitia Marisa, Yuna Blum, Julien Taieb, Mira Ayadi, Camilla Pilati, Karine Le Malicot, Côme Lepage, Ramon Salazar, Daniela Aust, Alex Duval and 10 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–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

43 citing papers in PubMed.

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  14. Entering the Era of Multidimensional Prognostication for Personalized Risk Assessment in Stage III Colon Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
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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

20 authors.

Laetitia MarisaProgramme Cartes d'Identité des Tumeurs, Ligue Nationale Contre le Cancer, Paris, France.
Yuna Blum *Programme Cartes d'Identité des Tumeurs, Ligue Nationale Contre le Cancer, Paris, France.ORCID 0000-0002-4716-8017
Julien Taieb *Institut du cancer Paris CARPEM, AP-HP, European Georges Pompidou Hospital, Paris, France.ORCID 0000-0002-9955-4753
Mira AyadiProgramme Cartes d'Identité des Tumeurs, Ligue Nationale Contre le Cancer, Paris, France.ORCID 0000-0002-4019-2858
Camilla PilatiCentre de Recherche des Cordeliers, INSERM, CNRS SNC 5096, Sorbonne Université, Université de Paris, Paris, France.ORCID 0000-0002-1781-5180
Karine Le MalicotFédération Francophone de Cancérologie Digestive, INSERM, Université de Bourgogne et Franche Comté, Dijon, France.ORCID 0000-0002-3226-8525
Côme LepageFédération Francophone de Cancérologie Digestive, INSERM, Université de Bourgogne et Franche Comté, Dijon, France.
Ramon SalazarCatalan Institute of Oncology (IDIBELL), Universitat de Barcelona, CIBERONC, Spanish Gastrointestinal Tumors TTD Group, Barcelona, Spain.ORCID 0000-0001-9419-6232
Daniela AustInstitute for Pathology, University Hospital Carl Gustav Carus, Dresden, Germany.
Alex DuvalSorbonne Université, INSERM, Centre de Recherche Saint-Antoine, CRSA, Equipe Instabilité des Microsatellites et Cancer, équipe labellisé par la Ligue Nationale contre le Cancer, Paris, France.ORCID 0000-0003-1534-1724
Hélène BlonsInstitut du cancer Paris CARPEM, AP-HP, European Georges Pompidou Hospital, Paris, France.ORCID 0000-0002-0572-8426
Valérie TalyCentre de Recherche des Cordeliers, INSERM, CNRS SNC 5096, Sorbonne Université, Université de Paris, Paris, France.
David GentienCurie Institute, PSL Research University, Translational Research Department, Genomics Platform, Paris, France.ORCID 0000-0001-8317-5188
Audrey RapinatCurie Institute, PSL Research University, Translational Research Department, Genomics Platform, Paris, France.
Janick SelvesCentre de Recherche en Cancérologie de Toulouse, INSERM, Université Toulouse III, Department of Pathology, CHU Toulouse, Toulouse, France.
Sophie Mouillet-RichardCentre de Recherche des Cordeliers, INSERM, CNRS SNC 5096, Sorbonne Université, Université de Paris, Paris, France.ORCID 0000-0002-8950-1949
Valérie BoigeCentre de Recherche des Cordeliers, INSERM, CNRS SNC 5096, Sorbonne Université, Université de Paris, Paris, France.ORCID 0000-0002-7817-4663
Jean-François EmileDepartment of Pathology, AP-HP, Hôpital Ambroise Paré, Boulogne-Billancourt, France.ORCID 0000-0002-6073-4466
Aurélien de Reyniès *Programme Cartes d'Identité des Tumeurs, Ligue Nationale Contre le Cancer, Paris, France. pierre.laurent-puig@parisdescartes.fr aurelien.dereynies@ligue-cancer.net.
Pierre Laurent-Puig *Institut du cancer Paris CARPEM, AP-HP, European Georges Pompidou Hospital, Paris, France. pierre.laurent-puig@parisdescartes.fr aurelien.dereynies@ligue-cancer.net.ORCID 0000-0001-8475-5459

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe consensus molecular subtypes (CMS) represent a significant advance in the understanding of intertumor heterogeneity in colon cancer. Intratumor heterogeneity (ITH) is the new frontier for refining prognostication and understanding treatment resistance. This study aims at deciphering the transcriptomic ITH of colon cancer and understanding its potential prognostic implications. EXPERIMENTAL

designWe deconvoluted the transcriptomic profiles of 1,779 tumors from the PETACC8 trial and 155 colon cancer cell lines as weighted sums of the four CMSs, using the Weighted In Silico Pathology (WISP) algorithm. We assigned to each tumor and cell line a combination of up to three CMS subtypes with a threshold above 20%.

resultsOver 55% of tumors corresponded to mixtures of at least two CMSs, demonstrating pervasive ITH in colon cancer. Of note, ITH was associated with shorter disease-free survival (DFS) and overall survival, [HR, 1.34; 95% confidence interval (CI; 1.12-1.59), 1.40, 95% CI (1.14-1.71), respectively]. Moreover, we uncovered specific combinations of CMS associated with dismal prognosis. In multivariate analysis, ITH represents the third parameter explaining DFS variance, after T and N stages. At a cellular level, combined WISP and single-cell transcriptomic analysis revealed that most colon cancer cell lines are a mixture of cells falling into different CMSs, indicating that ITH may correspond to distinct functional statuses of colon cancer cells.

conclusionsThis study shows that CMS-based transcriptomic ITH is frequent in colon cancer and impacts its prognosis. CMS-based transcriptomic ITH may correspond to distinct functional statuses of colon cancer cells, suggesting plasticity between CMS-related cell populations. Transcriptomic ITH deserves further assessment in the context of personalized medicine.

Indexed as

Gene Expression ProfilingTumor MicroenvironmentAgedCell Line, TumorColonic NeoplasmsFemaleHumansMalePrognosisSurvival Rate

Identifiers

PMID34168047
PMCPMC8974433

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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.