von Rong Fang ; Marco Düring ; Felix J. Bode ; Sebastian Stösser ; Julius Nicolai Meißner ; Peter Hermann ; Thomas Liman ; Christian H. Nolte ; Lucia Kerti ; Benno Ikenberg ; Kathleen Bernkopf ; Wenzel Glanz ; Daniel Janowitz ; Michael Wagner ; Katja Neumann ; Oliver Speck ; Emrah Düzel ; Benno Gesierich ; Anna Dewenter ; Annika Spottke ; Karin Waegemann ; Michael Görtler ; Silke Wunderlich ; Inga Zerr ; Gabor Petzold ; Matthias Endres ; Marios K. Georgakis ; Martin Dichgans
von Friederike A. Arlt ; Pia S. Sperber ; Regina von Rennenberg ; Pimrapat Gebert ; Bianca Teegen ; Marios K. Georgakis ; Rong Fang ; Anna Dewenter ; Michael Görtler ; Gabor Petzold ; Silke Wunderlich ; Inga Zerr ; Martin Dichgans ; Harald Prüß ; Matthias Endres
Thomas Liman; Christian H Nolte; Lucia Kerti; Tatjana Wittenberg; Jan Friedrich Scheitz; Alexander Heinrich Nave; Anna Kufner; Felix J Bode; Sebastian Stösser; Julius Nicolai Meißner; Taraneh Ebrahimi; Julia Nordsiek; Niklas Michael Beckonert; Peter Hermann; Matthias Schmitz; Stefan Goebel; Julia Schütte-Schmidt; Sabine Nuhn; Corinna Volpers; Peter Dechent; Matthias Bähr; Wenzel Glanz; Steffen Tiedt; Karin Waegemann; Daniel Janowitz; Benno Ikenberg; Kathleen Bermkopf; Christiane Huber; Michael Wagner; Katja Neumann; Annika Spottke; Tony Stöcker; Marco Dühring; Oliver Speck; Emrah Düzel; Peter Bartenstein
von David Capper ; David T. W. Jones ; Daniel Schrimpf ; Dominik Sturm ; Christian Kölsche ; Felix Sahm ; David Reuss ; Annekathrin Kratz ; Annika K. Wefers ; Kristin Huang ; Kristian Wilfried Pajtler ; Leonille Schweizer ; Damian Stichel ; Florian Selt ; Hendrik Witt ; Till Milde ; Olaf Witt ; Wolfram Scheurlen ; Christoph Geisenberger ; Stefanie Brehmer ; Marcel Seiz-Rosenhagen ; Daniel Hänggi ; Andreas Kulozik ; Axel Benner ; Martin Bendszus ; Jürgen Debus ; Michael Platten ; Andreas Unterberg ; Wolfgang Wick ; Marcel Kool ; Christel Herold-Mende ; Andreas von Deimling ; Stefan Pfister ; Hermann L. Müller
Accurate pathological diagnosis is crucial for optimal management of patients with cancer. For the approximately 100 known tumour types of the central nervous system, standardization of the diagnostic process has been shown to be particularly challenging—with substantial inter-observer variability in the histopathological diagnosis of many tumour types. Here we present a comprehensive approach for the DNA methylation-based classification of central nervous system tumours across all entities and age groups, and demonstrate its application in a routine diagnostic setting. We show that the availability of this method may have a substantial impact on diagnostic precision compared to standard methods, resulting in a change of diagnosis in up to 12% of prospective cases. For broader accessibility, we have designed a free online classifier tool, the use of which does not require any additional onsite data processing. Our results provide a blueprint for the generation of machine-learning-based tumour classifiers across other cancer entities, with the potential to fundamentally transform tumour pathology.
Nature London [u.a.] : Nature Publ. Group, 1869 555(2018), 7697, Seite 469-474 Online-Ressource
