Article

Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning

2026-01-16

Abstract excerpt

<title>Abstract</title> <p> Background and aims: Molecular subtyping of pancreatic ductal adenocarcinoma (PDAC) into basal-like and classical has established prognostic and predictive value. However, its use in clinical practice is limited by cost, turnaround time, and tissue requirements, thereby restricting its application in the management of PDAC. We introduce PanSubNet (PANcreatic SUBtyping NETwork), an in...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4e6c637c-d504-53e5-bb3d-edc181c74b7f
DOI: 10.21203/rs.3.rs-8545050/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep LearningDOI 10.21203/rs.3.rs-8545050/v1Read

Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep LearningSemantic proximity Read

Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinomaSemantic proximity Read

Morphological classification of pancreatic ductal adenocarcinoma that predicts molecular subtypes and correlates with clinical outcomeSemantic proximity Read

MetaPaCS: A Novel Meta-Learning Framework for Pancreatic Cancer Subtype IdentificationSemantic proximity Read

Integrative analysis of genomic and transcriptomic data informs precancer progression in the pancreasSemantic proximity Read

Real-world data validation of the PurIST pancreatic ductal adenocarcinoma gene expression classifier and its prognostic implicationsSemantic proximity Read

Comprehensive machine-learning survival framework develop a consensus model in large scale multi-center cohorts for pancreatic cancerSemantic proximity Read

Redefining phenotypic intratumor heterogeneity of pancreatic ductal adenocarcinoma: a bottom-up approachSemantic proximity Read

Redefining phenotypic intratumor heterogeneity of pancreatic ductal adenocarcinoma: a bottom‐up approachSemantic proximity Read

A transcriptomics-based meta-analysis combined with machine learning approach identifies a secretory biomarker panel for diagnosis of pancreatic adenocarcinomaSemantic proximity Read

The Limits of Molecular Signatures for Pancreatic Ductal Adenocarcinoma SubtypingSemantic proximity Read

A multimodal framework for assessing the link between pathomics, transcriptomics, and pancreatic cancer mutations.Semantic proximity Read