%0 Journal Article
%A Gómez, Soledad
%A Garrido-Garcia, Alícia
%A Garcia-Gerique, Laura
%A Lemos, Isadora
%A Suñol, Mariona
%A de Torres, Carmen
%A Kulis, Marta
%A Pérez-Jaume, Sara
%A Carcaboso, Ángel M
%A Luu, Betty
%A Kieran, Mark W
%A Jabado, Nada
%A Kozlenkov, Alexey
%A Dracheva, Stella
%A Ramaswamy, Vijay
%A Hovestadt, Volker
%A Johann, Pascal
%A Jones, David
%A Pfister, Stefan
%A Morales La Madrid, Andrés
%A Cruz, Ofelia
%A Taylor, Michael D
%A Martin-Subero, Jose-Ignacio
%A Mora, Jaume
%A Lavarino, Cinzia
%T A Novel Method for Rapid Molecular Subgrouping of Medulloblastoma.
%J Clinical cancer research
%V 24
%N 6
%@ 1557-3265
%C Philadelphia, Pa. [u.a.]
%I AACR
%M DKFZ-2018-00393
%P 1355 - 1363
%D 2018
%X Purpose: The classification of medulloblastoma into WNT, SHH, group 3, and group 4 subgroups has become of critical importance for patient risk stratification and subgroup-tailored clinical trials. Here, we aimed to develop a simplified, clinically applicable classification approach that can be implemented in the majority of centers treating patients with medulloblastoma.Experimental Design: We analyzed 1,577 samples comprising previously published DNA methylation microarray data (913 medulloblastomas, 457 non-medulloblastoma tumors, 85 normal tissues), and 122 frozen and formalin-fixed paraffin-embedded medulloblastoma samples. Biomarkers were identified applying stringent selection filters and Linear Discriminant Analysis (LDA) method, and validated using DNA methylation microarray data, bisulfite pyrosequencing, and direct-bisulfite sequencing.Results: Using a LDA-based approach, we developed and validated a prediction method (EpiWNT-SHH classifier) based on six epigenetic biomarkers that allowed for rapid classification of medulloblastoma into the clinically relevant subgroups WNT, SHH, and non-WNT/non-SHH with excellent concordance (>99
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:29351917
%R 10.1158/1078-0432.CCR-17-2243
%U https://inrepo02.dkfz.de/record/132739