ReviewMolecular cancer2026
Molecular subtypes in pancreatic cancer: from academic promise to clinical reality.
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.
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.
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.
Who cites it
1 citing paper in PubMed.
- A Generalizable and Interpretable Framework for Molecular Subtype Classification of Pancreatic Ductal Adenocarcinoma Integrating Conformal Uncertainty Quantification and Consensus-Based Explainable Artificial Intelligence Across Multiple Cohorts.International journal of molecular sciences · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
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
Identifiers
What Socratic holds
Registered trials
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.