%0 Journal Article
%A Ruiz, Fernanda
%A Rispoli, Rossella
%A Jaunmuktane, Zane
%A Merve, Ashirwad
%A D'Antona, Linda
%A Dutt, Monika
%A Sahm, Felix
%A Brandner, Sebastian
%T Testing Meningiomas With Methylation Arrays: Insights and Recommendations From a Large Single-Centre Study.
%J Neuropathology & applied neurobiology
%V 51
%N 3
%@ 0305-1846
%C Oxford [u.a.]
%I Wiley-Blackwell
%M DKFZ-2025-00974
%P e70018
%D 2025
%X Meningiomas are common primary CNS tumours, and their morphological diagnosis is usually straightforward. Their histological grading according to CNS WHO criteria alone provides limited information on recurrence risk. Risk stratification of meningiomas combining WHO grade, methylation class and copy number profile improves prediction of the risk of early recurrence. Because of the frequency of meningiomas in diagnostic practice, applying this prediction algorithm to all meningiomas is financially not viable in most healthcare systems.We analysed a retrospective dataset of over 1000 meningiomas from a single centre with methylation arrays to provide guidance on which meningiomas to prioritise for integrated molecular testing and to understand how WHO grades resolve into risk strata.Approximately 90
%K Humans
%K Meningioma: genetics
%K Meningioma: pathology
%K Meningioma: diagnosis
%K Meningeal Neoplasms: genetics
%K Meningeal Neoplasms: pathology
%K Meningeal Neoplasms: diagnosis
%K Female
%K Male
%K DNA Methylation
%K Retrospective Studies
%K Middle Aged
%K Aged
%K Adult
%K Neoplasm Grading
%K Aged, 80 and over
%K CNS WHO grading (Other)
%K meningioma (Other)
%K methylation array (Other)
%K model score (Other)
%K prognostication (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:40356449
%R 10.1111/nan.70018
%U https://inrepo02.dkfz.de/record/301290