Methylation array profiling of adult brain tumours: diagnostic outcomes in a large, single centre.
Adult brain tumours
BRAF
Brain tumour classification
DKFZ classifier
Ependymoma
Glioma
H3 K27M
Histone mutation
IDH1
IDH2
Illumina array
Methylation array
Methylation classifier
Molecular diagnostics
Journal
Acta neuropathologica communications
ISSN: 2051-5960
Titre abrégé: Acta Neuropathol Commun
Pays: England
ID NLM: 101610673
Informations de publication
Date de publication:
20 02 2019
20 02 2019
Historique:
received:
11
01
2019
accepted:
28
01
2019
entrez:
22
2
2019
pubmed:
23
2
2019
medline:
31
3
2020
Statut:
epublish
Résumé
The introduction of the classification of brain tumours based on their DNA methylation profile has significantly changed the diagnostic approach for cases with ambiguous histology, non-informative or contradictory molecular profiles or for entities where methylation profiling provides useful information for patient risk stratification, for example in medulloblastoma and ependymoma. We present our experience that combines a conventional molecular diagnostic approach with the complementary use of a DNA methylation-based classification tool, for adult brain tumours originating from local as well as national referrals. We report the frequency of IDH mutations in a large cohort of nearly 1550 patients, EGFR amplifications in almost 1900 IDH-wildtype glioblastomas, and histone mutations in 70 adult gliomas. We demonstrate how additional methylation-based classification has changed and improved our diagnostic approach. Of the 325 cases referred for methylome testing, 179 (56%) had a calibrated score of 0.84 and higher and were included in the evaluation. In these 179 samples, the diagnosis was changed in 45 (25%), refined in 86 (48%) and confirmed in 44 cases (25%). In addition, the methylation arrays contain copy number information that usefully complements the methylation profile. For example, EGFR amplification which is 95% concordant with our Real-Time PCR-based copy number assays. We propose here a diagnostic algorithm that integrates histology, conventional molecular tests and methylation arrays.
Identifiants
pubmed: 30786920
doi: 10.1186/s40478-019-0668-8
pii: 10.1186/s40478-019-0668-8
pmc: PMC6381711
doi:
Substances chimiques
Biomarkers, Tumor
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
24Subventions
Organisme : Health Services Research Programme
ID : BRC399/NS/RB/101410
Pays : International
Organisme : Medical Research Council
ID : G0701018
Pays : United Kingdom
Organisme : Medical Research Council
ID : G1100578
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/N004272/1
Pays : United Kingdom
Organisme : Department of Health[UK]
Pays : International
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