DNA methylation-based classification of central nervous system tumours.

Paper Info

Title
DNA methylation-based classification of central nervous system tumours.

Abstract
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 challengingwith 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.

Authors (143 rows)

Cited by (3 rows)

References (4 rows)

Name	Order	Citations	PageRank
David Capper	1	3	0.54
David T W Jones	2	3	0.88
Martin Sill	3	31	2.05
Volker Hovestadt	4	3	0.88
Daniel Schrimpf	5	3	0.54
Dominik Sturm	6	3	0.54
Christian Koelsche	7	3	0.54
Felix Sahm	8	3	0.54
Lukas Chavez	9	11	2.18
David E Reuss	10	3	0.54
Annekathrin Kratz	11	3	0.54
Annika K Wefers	12	3	0.54
Kristin Huang	13	3	0.54
Kristian W Pajtler	14	3	0.54
Leonille Schweizer	15	3	0.54
Damian Stichel	16	3	0.54
Adriana Olar	17	3	0.54
Nils W Engel	18	3	0.54
Kerstin Lindenberg	19	3	0.54
Patrick N Harter	20	3	0.54
Anne K Braczynski	21	3	0.54
Karl H Plate	22	3	0.54
Hildegard Dohmen	23	3	0.54
Boyan K Garvalov	24	3	0.54
Roland Coras	25	3	0.54
Annett Hölsken	26	3	0.54
Ekkehard Hewer	27	3	0.54
Melanie Bewerunge-Hudler	28	3	0.54
Matthias Schick	29	3	0.54
Roger Fischer	30	3	0.54
Rudi Beschorner	31	3	0.54
Jens Schittenhelm	32	3	0.54
Ori Staszewski	33	3	0.54
Khalida Wani	34	3	0.54
Pascale Varlet	35	3	0.54
Melanie Pages	36	3	0.54
Petra Temming	37	3	0.54
Dietmar Lohmann	38	3	0.54
Florian Selt	39	3	0.54
Hendrik Witt	40	3	0.54
Till Milde	41	3	0.54
Olaf Witt	42	3	0.54
Eleonora Aronica	43	3	0.54
Felice Giangaspero	44	3	0.54
Elisabeth Rushing	45	3	0.54
Wolfram Scheurlen	46	3	0.54
Christoph Geisenberger	47	3	0.54
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Matthias Preusser	50	3	0.54