4.6 Article

Methylation array profiling of adult brain tumours: diagnostic outcomes in a large, single centre

Journal

ACTA NEUROPATHOLOGICA COMMUNICATIONS
Volume 7, Issue -, Pages -

Publisher

BMC
DOI: 10.1186/s40478-019-0668-8

Keywords

IDH1; IDH2; BRAF; Histone mutation; H3 K27M; Methylation array; Illumina array; DKFZ classifier; Methylation classifier; Molecular diagnostics; Glioma; Ependymoma; Brain tumour classification; Adult brain tumours

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Funding

  1. National Institute for Health Research [BRC399/NS/RB/101410]
  2. Department of Health's NIHR Biomedical Research Centre's funding scheme
  3. MRC [G1100578, G0701018, MR/N004272/1] Funding Source: UKRI

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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.

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