Prediction of Mutations and Outcome in Gastrointestinal Stromal Tumors with Deep Learning: A Multicenter, Multinational Study

DL applied to WSIs enables prediction of molecular alterations, treatment sensitivity, and RFS in GIST, performing comparably to established risk scores across international cohorts, providing a baseline for future multimodal predictors.

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Publication Details

Journal
medRxiv
Published
2026-02-03
DOI
https://doi.org/10.64898/2026.02.02.26345350
Primary Topic
Gastrointestinal Tumor Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Prediction of Mutations and Outcome in Gastrointestinal Stromal Tumors with Deep Learning: A Multicenter, Multinational Study

Hester H. van Boven, Hans Gelderblom, I. Soubeyran, Lucile Vanhersecke et al.
medRxiv
Gastrointestinal Tumor Research and Treatment
article

Prediction of Mutations and Outcome in Gastrointestinal Stromal Tumors with Deep Learning: A Multicenter, Multinational Study

Hester H. van Boven, Hans Gelderblom, I. Soubeyran, Lucile Vanhersecke, Emilio Medina-Ceballos, Isidro Morales Machado, Alexandra Meurgey, Marco Gustav, F. Le Loarer, Suk Wai Lam, Julien Bollard, Hidekazu Hirano, Eva Wardelmann, Amandine Crombé, Yasushi Yatabe, Carolina Agra, P. Sobczuk, JM Coindre, Jens Jakob, Zunamys I. Carrero, Jakob Nikolas Kather, Raul Perret, Neeltje Steeghs, M. Jean-Denis, Laura Blouin, O. Bouche, Alba Hernández Gallego, Judith V.M.G. Bovée, Samuel Navarro, Artem Voloshin, A. Lecesne, Cristina Cotarelo, J Emile, Van-Linh Le, Piotr Rutkowski, Joris M van Sabben, Arianna Bonetti, Anna Szumera-Ciećkiewicz, Míriam Cuatrecasas, Sandra Lopez-Prades, Carine Ngo, Malgorzata Lenarcik, Francisco Giner, Peter Hohenberger, Alessandro Gronchi, Antoine Italiano, Nathalie Lassau, Gemma Civantos Jubera, Toshirou Nishida, Silvia Bague, Gustavo Tapia, Fabian Wolf, Emmanuel Khalifa
article en

Abstract

DL applied to WSIs enables prediction of molecular alterations, treatment sensitivity, and RFS in GIST, performing comparably to established risk scores across international cohorts, providing a baseline for future multimodal predictors.

medRxiv
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), University of Leeds (GB), Institut national de recherche en sciences et technologies du numérique (FR), Université de Bordeaux (FR), Inserm (FR), Universitat de València (ES), University of Milan (IT), Utrecht University (NL), Heidelberg University (DE), Université Paris-Saclay (FR), Leiden University Medical Center (NL), Instituto de Salud Carlos III (ES), Hospital de Sant Pau (ES), Institut Gustave Roussy (FR), University Hospital Heidelberg (DE), The Netherlands Cancer Institute (NL), Hospital General Universitario Gregorio Marañón (ES), University Medical Center Utrecht (NL), Hospital Universitari i Politècnic La Fe (ES), Assistance Publique – Hôpitaux de Paris (FR), Fundación Instituto Valenciano de Oncología (ES), University Hospital Münster (DE), Centre Léon Bérard (FR), Centre Hospitalier Universitaire de Reims (FR), Oncode Institute (NL), National Center for Tumor Diseases (DE), Hospital Quirónsalud Barcelona (ES), Hospital Clínic de Barcelona (ES), National Institute of Oncology (HU), Centre Inria de l'université de Bordeaux (FR), Japan Community Healthcare Organization (JP), Hôpital Ambroise-Paré (FR), Institut Bergonié (FR), Postgraduate School of Molecular Medicine (PL), National Cancer Center Hospital East (JP), The Maria Sklodowska-Curie National Research Institute of Oncology (PL), Hospital Universitario Virgen del Rocío (ES), Hospital Universitari Germans Trias i Pujol (ES), Tokyo National Hospital (JP), University Medical Centre Mannheim (DE), Fondazione IRCCS Istituto Nazionale dei Tumori (IT), INCLIVA Health Research Institute (ES), Centro de Investigación Biomédica en Red de Cáncer (ES), Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES), University Hospital Carl Gustav Carus (DE), Medical Research Network (US), Institut de Mathématiques de Bordeaux (FR), Biomarqueurs et essais cliniques en Cancérologie et Onco-Hématologie (FR), Universitat de Barcelona (ES), Université de Reims Champagne-Ardenne (FR)
Technische Universität Dresden, Gauss Centre for Supercomputing
Gender equality
Openalex Percentile: Top 68%
Gastrointestinal Tumor Research and Treatment
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