Evidence map›Paper›PMID 39935174›Full record

ArticleThe Journal of pathology2025

Redefining phenotypic intratumor heterogeneity of pancreatic ductal adenocarcinoma: a bottom-up approach.

Marc Hilmi, Flore Delecourt, Jérôme Raffenne, Taib Bourega, Nelson Dusetti, Juan Iovanna, Yuna Blum, Magali Richard, Cindy Neuzillet, Anne Couvelard and 5 more

Abstract read
In one paragraph

Article in The Journal of pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

15 authors.

Marc HilmiMolecular Oncology Team, UMR 144, Institut Curie, Paris, France.ORCID 0000-0003-4762-6740
Flore DelecourtPathology Department, APHP Nord, FHU MOSAIC, Beaujon Hospital, Clichy, France.
Jérôme RaffenneJR-Analytics, Pompignac, France.
Taib BouregaCentre de Recherche sur l'Inflammation (CRI), INSERM, U1149, CNRS, ERL 8252, Université Paris Cité, Paris, France.
Nelson DusettiCentre de Recherche en Cancérologie de Marseille (CRCM), INSERM U1068, CNRS UMR 7258, Parc Scientifique et Technologique de Luminy, Aix-Marseille Université and Institut Paoli-Calmettes, Marseille, France.
Juan IovannaCentre de Recherche en Cancérologie de Marseille (CRCM), INSERM U1068, CNRS UMR 7258, Parc Scientifique et Technologique de Luminy, Aix-Marseille Université and Institut Paoli-Calmettes, Marseille, France.
Yuna BlumUniv Rennes, CNRS, INSERM, IGDR (Institut de Génétique et Développement de Rennes) - UMR 6290, ERL U1305, Rennes, France.
Magali RichardUniversité Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, TIMC, Grenoble, France.
Cindy NeuzilletMolecular Oncology Team, UMR 144, Institut Curie, Paris, France.
Anne CouvelardCentre de Recherche sur l'Inflammation (CRI), INSERM, U1149, CNRS, ERL 8252, Université Paris Cité, Paris, France.
Matthieu TihyPathology Department, APHP Nord, Bichat Hospital, Paris, France.
Louis de MestierCentre de Recherche sur l'Inflammation (CRI), INSERM, U1149, CNRS, ERL 8252, Université Paris Cité, Paris, France.
Vinciane ReboursCentre de Recherche sur l'Inflammation (CRI), INSERM, U1149, CNRS, ERL 8252, Université Paris Cité, Paris, France.
Rémy Nicolle *Centre de Recherche sur l'Inflammation (CRI), INSERM, U1149, CNRS, ERL 8252, Université Paris Cité, Paris, France.
Jérôme Cros *Pathology Department, APHP Nord, FHU MOSAIC, Beaujon Hospital, Clichy, France.ORCID 0000-0002-4935-3865

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) tumor interpatient heterogeneity has been well described with two major prognostic subtypes (classical and basal-like). An important intrapatient heterogeneity has been reported but has not yet been studied extensively due to the lack of standardized, reproducible, and easily accessible high-throughput methods. We built an immunohistochemical (IHC) tool capable of differentiating RNA-defined classical and basal-like tumors by selecting relevant antibodies using a multistep process. The successive stages of (i) an in silico selection from a literature review and a bulk transcriptome analysis of 309 PDACs, (ii) a tumor-specific selection from 30 patient-derived xenografts and single-cell data, followed by (iii) the validation on tissue microarrays in 50 PDAC were conducted. We used our final IHC panel on two independent cohorts of resected PDAC (n = 95, whole-slide, n = 148, tissue microarrays) for external validation. After digitization and registration of pathology slides, we performed a tile-based analysis in tumor areas to identify relevant marker combinations. Sequential marker selection led to the following panel: GATA6, CLDN18, TFF1, MUC16, S100A2, KRT17, PanBasal. Four different phenotypes were identified: one classical, one intermediate (KRT17+), and two basal-like (MUC16+ versus S100A2+) with specific biological properties. The presence of a minor basal contingent drastically reduced overall survival [hazard ratio (HR) = 1.90, p = 0.03], even in classical predominant PDACs. Analysis of preneoplastic lesions suggested that pancreatic carcinogenesis might follow a progressive evolution from classical toward a basal through an early intermediate phenotype. In conclusion, our IHC panel redefined and easily assessed the high degree of intra- and intertumoral heterogeneity of PDAC. © 2025 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Indexed as

Biomarkers, TumorCarcinoma, Pancreatic DuctalPancreatic NeoplasmsAnimalsFemaleHumansImmunohistochemistryMalePhenotypeTissue Array AnalysisBiomarkers, Tumorimage analysismolecular subtypespancreatic ductal adenocarcinomatumoral heterogeneity

Identifiers

PMID39935174
PMCPMC11880971

What OpenQuestion holds

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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.