Stroma and lymphocytes identified by deep learning are independent predictors for survival in pancreatic cancer

Stroma and lymphocytes identified by deep learning are independent predictors for survival in pancreatic cancer

Abstract Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers known to humans. However, not all patients fare equally poor survival, and a minority of patients even survives advanced disease for months or years. Thus, there is a clinical need to search corresponding prognostic b...

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Main Authors: Xiuxiang Tan, Mika Rosin, Simone Appinger, Julia Campello Deierl, Konrad Reichel, Mariëlle Coolsen, Liselot Valkenburg-van Iersel, Judith de Vos-Geelen, Evelien J. M. de Jong, Jan Bednarsch, Bas Grootkoerkamp, Michail Doukas, Casper van Eijck, Tom Luedde, Edgar Dahl, Jakob Nikolas Kather, Shivan Sivakumar, Wolfram Trudo Knoefel, Georg Wiltberger, Ulf Peter Neumann, Lara R. Heij
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Pancreatic cancer
Prognostic biomarker
Deep learning
Tumor proportion
Immune infiltration
Online Access:https://doi.org/10.1038/s41598-025-94362-x
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https://doi.org/10.1038/s41598-025-94362-x

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