The Tumor Profiler Study: integrated, multi-omic, functional tumor profiling for clinical decision support.

Abstract

The application and integration of molecular profiling technologies create novel opportunities for personalized medicine. Here, we introduce the Tumor Profiler Study, an observational trial combining a prospective diagnostic approach to assess the relevance of in-depth tumor profiling to support clinical decision-making with an exploratory approach to improve the biological understanding of the disease.

• Authors: Anja Irmisch, Ximena Bonilla, Stéphane Chevrier, Kjong-Van Lehmann, Franziska Singer, Nora C Toussaint, Cinzia Esposito, Julien Mena, Emanuela S Milani, Ruben Casanova, Daniel J Stekhoven, Rebekka Wegmann, Francis Jacob, Bettina Sobottka, Sandra Goetze, Jack Kuipers, Jacobo Sarabia Del Castillo, Michael Prummer, Mustafa A Tuncel, Ulrike Menzel, Andrea Jacobs, Stefanie Engler, Sujana Sivapatham, Anja L Frei, Gabriele Gut, Joanna Ficek, Nicola Miglino, Tumor Profiler Consortium, Rudolf Aebersold, Marina Bacac, Niko Beerenwinkel, Christian Beisel, Bernd Bodenmiller, Reinhard Dummer, Viola Heinzelmann-Schwarz, Viktor H Koelzer, Markus G Manz, Holger Moch, Lucas Pelkmans, Berend Snijder, Alexandre P A Theocharides, Markus Tolnay, Andreas Wicki, Bernd Wollscheid, Gunnar Rätsch, Mitchell P Levesque
• Journal: Cancer cell (Cancer Cell) Vol. 39 Issue 3 Pg. 288-293 (Mar 08 2021) ISSN: 1878-3686 [Electronic] United States
• PMID: 33482122 (Publication Type: Journal Article, Observational Study, Research Support, Non-U.S. Gov't)
• Copyright: Copyright © 2021. Published by Elsevier Inc.

Topics

• Clinical Decision-Making (methods)
• Computational Biology (methods)
• Decision Support Systems, Clinical
• Humans
• Neoplasms (genetics, metabolism)
• Precision Medicine (methods)
• Prospective Studies