A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy.

Abstract

Authors

• Georgios Kaissis
  Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany.
• Sebastian Ziegelmayer
  Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany.
• Fabian Lohöfer
  Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany.
• Katja Steiger
  Department of Pathology, School of Medicine, Technical University of Munich, Munich, Germany.
• Hana Algül
  Department of Internal Medicine II, School of Medicine, Technical University of Munich, Munich, Germany.
• Alexander Muckenhuber
  Department of Pathology, School of Medicine, Technical University of Munich, Munich, Germany.
• Hsi-Yu Yen
  Department of Pathology, School of Medicine, Technical University of Munich, Munich, Germany.
• Ernst Rummeny
  Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany.
• Helmut Friess
  Department of Surgery, School of Medicine, Technical University of Munich, Munich, Germany.
• Roland Schmid
  Department of Internal Medicine II, School of Medicine, Technical University of Munich, Munich, Germany.
• Wilko Weichert
  Department of Pathology, School of Medicine, Technical University of Munich, Munich, Germany.
• Jens T Siveke
  Division of Solid Tumor Translational Oncology, West German Cancer Center, University Hospital Essen, Essen, Germany.
• Rickmer Braren
  Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany.

Keywords

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