DNA methylation-based classification and grading system for meningioma: a multicentre, retrospective analysis
The WHO classification of brain tumours describes 15 subtypes of meningioma. Nine of these subtypes are allotted to WHO grade I, and three each to grade II and grade III. Grading is based solely on histology, with an absence of molecular markers. Although the existing classification and grading appr...
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| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
March 14, 2017
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| In: |
The lancet. Oncology
Year: 2017, Jahrgang: 18, Heft: 5, Pages: 682-694 |
| ISSN: | 1474-5488 |
| DOI: | 10.1016/S1470-2045(17)30155-9 |
| Online-Zugang: | Verlag, Volltext: http://dx.doi.org/10.1016/S1470-2045(17)30155-9 Verlag, Volltext: http://www.sciencedirect.com/science/article/pii/S1470204517301559 
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| Verfasserangaben: | Felix Sahm, Daniel Schrimpf, Damian Stichel, David TW Jones, Thomas Hielscher, Sebastian Schefzyk, Konstantin Okonechnikov, Christian Koelsche, David E Reuss, David Capper, Dominik Sturm, Hans-Georg Wirsching, Anna Sophie Berghoff, Peter Baumgarten, Annekathrin Kratz, Kristin Huang, Annika K Wefers, Volker Hovestadt, Martin Sill, Hayley P Ellis, Kathreena M Kurian, Ali Fuat Okuducu, Christine Jungk, Katharina Drueschler, Matthias Schick, Melanie Bewerunge-Hudler, Christian Mawrin, Marcel Seiz-Rosenhagen, Ralf Ketter, Matthias Simon, Manfred Westphal, Katrin Lamszus, Albert Becker, Arend Koch, Jens Schittenhelm, Elisabeth J Rushing, V Peter Collins, Stefanie Brehmer, Lukas Chavez, Michael Platten, Daniel Hänggi, Andreas Unterberg, Werner Paulus, Wolfgang Wick, Stefan M Pfister, Michel Mittelbronn, Matthias Preusser, Christel Herold-Mende, Michael Weller, Andreas von Deimling |
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| 520 | |a The WHO classification of brain tumours describes 15 subtypes of meningioma. Nine of these subtypes are allotted to WHO grade I, and three each to grade II and grade III. Grading is based solely on histology, with an absence of molecular markers. Although the existing classification and grading approach is of prognostic value, it harbours shortcomings such as ill-defined parameters for subtypes and grading criteria prone to arbitrary judgment. In this study, we aimed for a comprehensive characterisation of the entire molecular genetic landscape of meningioma to identify biologically and clinically relevant subgroups. | ||
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