Evidence mapPaperPMID 41796340Full record

ReviewMolecular cancer2026

Molecular subtypes in pancreatic cancer: from academic promise to clinical reality.

Daniela Mercedes D'Empaire Altimari, Michele Bevere, Elisa Espinet, Yvan Martineau, Elisa Giovannetti, Víctor Javier Sánchez-Arévalo Lobo

Abstract readReview
In one paragraph

Review in Molecular cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Daniela Mercedes D'Empaire AltimariGrupo de Oncología Molecular, Instituto de Investigaciones Biosanitarias, Facultad de Ciencias Experimentales, Universidad Francisco de Vitoria (UFV), Pozuelo de Alarcón, Madrid, 28223, Spain.ORCID http://orcid.org/0009-0009-1542-2162
Michele BevereARC-NET Applied Research on Cancer Center, University of Verona, Piazzale A. Scuro 10 - 37134, Verona, Italy.ORCID http://orcid.org/0000-0001-8778-0860
Elisa EspinetDepartment of Pathology and Experimental Therapy, Universidad de Barcelona Facultad de Medicina y Ciencias de La Salud, Barcelona, Spain.ORCID http://orcid.org/0000-0002-0690-9878
Yvan MartineauCancer Research Center of Toulouse (CRCT), INSERM UMR-1037, CNRS UMR-5071, Team Microenvironment & Therapeutic Resistance in Pancreatic Cancer, University of Toulouse, Toulouse, France.ORCID http://orcid.org/0000-0002-0575-4085
Elisa GiovannettiDepartment of Medical Oncology, Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-7565-7504
Víctor Javier Sánchez-Arévalo LoboGrupo de Oncología Molecular, Instituto de Investigaciones Biosanitarias, Facultad de Ciencias Experimentales, Universidad Francisco de Vitoria (UFV), Pozuelo de Alarcón, Madrid, 28223, Spain. victor.sanchezarevalo@ufv.es.ORCID http://orcid.org/0000-0002-4561-1505

Funding

Instituto de Salud Carlos III PI22/00492
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) continues to rank among the most lethal malignancies, with five-year survival rates stubbornly below 12%. Over the past decade and a half, transcriptomic analyses have consistently identified molecular subtypes - particularly the classical/progenitor (GATA6-high) and basal-like/squamous (GATA6-low) - that show clear associations with prognosis and treatment response. Yet, despite compelling biological rationale, the clinical adoption of these subtypes has been constrained by limited reproducibility, technical challenges, and practical barriers to implementation. Recent progress in multi-omics integration has deepened our understanding of subtype biology, while also exposing new layers of complexity in classification frameworks. A pivotal study demonstrated that a straightforward immunohistochemical assessment of GATA6 provides strong prognostic information in treatment-naive patients. However, it also underscored a critical challenge: therapy-induced molecular plasticity can compromise the reliability of static biomarkers. Advances in single-cell RNA sequencing and spatial transcriptomics have further clarified the cellular and microenvironmental dynamics underlying subtype heterogeneity, offering new insights on immune contexture and therapeutic stratification. In this review, we synthesize key developments in PDAC subtyping, critically examine translational hurdles, and propose a pragmatic roadmap for clinical implementation that prioritizes validated simplicity, contextual relevance, and real-world utility.

Indexed as

Biomarkers, TumorCarcinoma, Pancreatic DuctalPancreatic NeoplasmsPathology, MolecularHumansPancreasBiomarkers, TumorBiomarkersGATA6Molecular subtypesMulti-omics integrationPancreatic cancerPrecision medicineSingle-cell sequencing

Identifiers

PMID41796340
PMCPMC13192168

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.