Evidence map›Paper›PMID 39889251›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2025

Prognostic Models From Transcriptomic Signatures of the Tumor Microenvironment and Cell Cycle in Stage III Colon Cancer From PETACC-8 and IDEA-France Trials.

Claire Gallois, Marine Sroussi, Thierry André, Sophie Mouillet-Richard, Natacha Agueeff, Claire Mulot, Dewi Vernerey, Christophe Louvet, Jean-Baptiste Bachet, Louis-Marie Dourthe and 11 more

Abstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
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  6. Review
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

21 authors.

Claire GalloisCentre de Recherche des Cordeliers, INSERM, Université Paris Cité, Sorbonne Université, Paris, France.ORCID 0000-0003-2369-7341
Marine SroussiCentre de Recherche des Cordeliers, INSERM, Université Paris Cité, Sorbonne Université, Paris, France.ORCID 0000-0003-3545-5518
Thierry AndréDepartment of Medical Oncology, Hôpital Saint Antoine, Sorbonne Université, Paris, France.ORCID 0000-0002-5103-7095
Sophie Mouillet-RichardCentre de Recherche des Cordeliers, INSERM, Université Paris Cité, Sorbonne Université, Paris, France.ORCID 0000-0002-8950-1949
Natacha AgueeffCentre de Recherche des Cordeliers, INSERM, Université Paris Cité, Sorbonne Université, Paris, France.
Claire MulotCentre de Recherche des Cordeliers, INSERM, Université Paris Cité, Sorbonne Université, Paris, France.
Dewi VernereyMethodology and Quality of Life Unit in Oncology, University of Besançon, Besançon, France.
Christophe LouvetDepartment of Medical Oncology, Institut Mutualiste Montsouris, Paris, France.
Jean-Baptiste BachetDepartment of Hepato-Gastroenterology and Digestive Oncology, Pitié-Salpêtriére Hospital, APHP, Sorbonne Université, Paris, France.ORCID 0000-0003-4337-286X
Louis-Marie DourtheDepartment of Medical oncology, Clinique Sainte-Anne, Strasbourg, France.
Thibault MazardDepartment of Medical Oncology, IRCM, INSERM, ICM, University of Montpellier, Montpellier, France.
Marine JaryDepartment of Digestive and Hepatobiliary Surgery, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France.ORCID 0000-0001-7502-7708
Clélia CoutzacDepartment of Medical Oncology, Centre Leon Berard, University Claude Bernard Lyon, Lyon, France.
Cédric LecailleCancerology Department, Bordeaux Nord Polyclinic, Bordeaux, France.
Josep TaberneroVall d'Hebron Hospital Campus and Institute of Oncology (VHIO), IOB-Quiron, UVic-UCC, Barcelona, Spain.ORCID 0000-0002-2495-8139
Jean-Luc Van LaethemDepartment of Digestive Oncology, Hopital Erasme, Université Libre de Bruxelles, Brussels, Belgium.
Côme LepageHepatogastroenterology and Digestive Oncology Department, Dijon Bourgogne Hospital, University of Burgundy and Franche Comté, Dijon, France.ORCID 0000-0001-9211-4707
Jean-François EmileEA4340 BECCOH, Service de Pathologie, Hôpital Ambroise Paré, AP-HP, Université de Versailles SQY, Boulogne, France.ORCID 0000-0002-6073-4466
Aurélien de ReynièsCentre de Recherche des Cordeliers, INSERM, Université Paris Cité, Sorbonne Université, Paris, France.
Julien TaiebCentre de Recherche des Cordeliers, INSERM, Université Paris Cité, Sorbonne Université, Paris, France.ORCID 0000-0002-9955-4753
Pierre Laurent-PuigCentre de Recherche des Cordeliers, INSERM, Université Paris Cité, Sorbonne Université, Paris, France.ORCID 0000-0001-8475-5459

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe objective of this work was to establish prognostic models in stage III colon cancer (CC) on the basis of transcriptomic signatures of the tumor microenvironment (TME) and cell cycle from the PETACC-8 (training set) and IDEA-France (validation set) trials. PATIENTS AND

methods3'RNA sequencing was performed in 1,733 patients from the PETACC-8 trial and 1,248 patients from the IDEA-France trial. Four transcriptomic signatures were analyzed: T-cell and macrophage M2 signatures, the expression of CXCL13, and a score on the basis of the Oncotype DX CC Recurrence Score using the same formula from the stromal score and the cell cycle score. The Immune Proliferative Stromal (IPS) score was defined as the number of dichotomized signatures that fall under the category of a dismal prognosis (from 0 to 4). Time to recurrence (TTR) was defined as the time from the date of random assignment to local and/or metastatic relapse and/or death because of CC, whichever occurs first.

resultsHigh Oncotype-like and M2 scores and low CXCL13 expression and T-cell score were associated with a shorter TTR. A multivariable model including these signatures and all known prognostic factors applied to the IDEA-France cohort by obtaining a value of this model for each patient showed TTR significantly different depending on the quartile of this value and a 3-year rate of patients without recurrence ranging from 56% for the lowest quartile to 89% for the highest quartile (

conclusionUsing transcriptomic data of patients with stage III CC from two large-scale adjuvant trials, a prognostic model on the basis of signatures of the TME and the cell cycle provides important information in addition to known prognostic factors for patient stratification on risk of recurrence.

Indexed as

Biomarkers, TumorCell CycleColonic NeoplasmsTranscriptomeTumor MicroenvironmentAgedFemaleFranceGene Expression ProfilingHumansMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingPrognosisBiomarkers, Tumor

Identifiers

PMID39889251
PMCPMC12084023

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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.