Next-generation personalised medicine for high-risk paediatric cancer patients – The INFORM pilot study
Year: 2016
Type: article
Source: European Journal of Cancer
Authors: Barbara C. Worst, Cornelis M. van Tilburg, Gnana Prakash Balasubramanian, Petra Fiesel, Ruth Witt, Angelika Freitag, Miream Boudalil, Christopher Previti, Stephan Wolf, Sabine Schmidt, Sasithorn Chotewutmontri, Melanie Bewerunge-Hudler, Matthias Schick, Matthias Schlesner, Barbara Hutter, Lenka Taylor, Tobias Borst, Christian Sutter, Claus R. Bartram, Till Milde, Elke Pfaff, Andreas E. Kulozik, Arend von Stackelberg, Roland Meisel, Arndt Borkhardt, Dirk Reinhardt, Jan-Henning Klusmann, Gudrun Fleischhack, Stephan Tippelt, Uta Dirksen, Heribert Jürgens, Christof M. Kramm, Andre O. von Bueren, Frank Westermann, Matthias Fischer, Birgit Burkhardt, Wilhelm Wößmann, Michaela Nathrath, Stefan S. Bielack, Michael C. Frühwald, Simone Fulda, Thomas Klingebiel, Ewa Koscielniak, Matthias Schwab, Roman Tremmel, Pablo Hernáiz Driever, Johannes H. Schulte, Benedikt Brors, Andreas von Deimling, Peter Lichter, Angelika Eggert, David Capper, Stefan M. Pfister, David T.W. Jones, Olaf Witt
Institutions: German Cancer Research Center, University Hospital Heidelberg, Deutsches Konsortium für Translationale Krebsforschung, National Center for Tumor Diseases, Universitätsklinikum Erlangen, Stiftung Charité, Charité - Universitätsmedizin Berlin, Düsseldorf University Hospital, Essen University Hospital, Medizinische Hochschule Hannover, University of Münster, University Hospital Münster, Universitätsmedizin Göttingen, University of Göttingen, University of Geneva, University Hospital of Geneva, University of Cologne, Max Planck Institute for Metabolism Research, University Hospital Cologne, Universitätsklinikum Gießen und Marburg, TUM Klinikum, Klinikum Kassel, Technical University of Munich, Olgahospital, Klinikum Stuttgart, University Hospital Augsburg, University Hospital Frankfurt, Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, University of Tübingen
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: green
Award: G1151979577
OpenAlex ID: W2503515884