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Methylation array profiling of adult brain tumours: diagnostic outcomes in a large, single centre
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 informa...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6381711/ https://www.ncbi.nlm.nih.gov/pubmed/30786920 http://dx.doi.org/10.1186/s40478-019-0668-8 |
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author | Jaunmuktane, Zane Capper, David Jones, David T. W. Schrimpf, Daniel Sill, Martin Dutt, Monika Suraweera, Nirosha Pfister, Stefan M. von Deimling, Andreas Brandner, Sebastian |
author_facet | Jaunmuktane, Zane Capper, David Jones, David T. W. Schrimpf, Daniel Sill, Martin Dutt, Monika Suraweera, Nirosha Pfister, Stefan M. von Deimling, Andreas Brandner, Sebastian |
author_sort | Jaunmuktane, Zane |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6381711 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63817112019-03-01 Methylation array profiling of adult brain tumours: diagnostic outcomes in a large, single centre Jaunmuktane, Zane Capper, David Jones, David T. W. Schrimpf, Daniel Sill, Martin Dutt, Monika Suraweera, Nirosha Pfister, Stefan M. von Deimling, Andreas Brandner, Sebastian Acta Neuropathol Commun Research 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. BioMed Central 2019-02-20 /pmc/articles/PMC6381711/ /pubmed/30786920 http://dx.doi.org/10.1186/s40478-019-0668-8 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Jaunmuktane, Zane Capper, David Jones, David T. W. Schrimpf, Daniel Sill, Martin Dutt, Monika Suraweera, Nirosha Pfister, Stefan M. von Deimling, Andreas Brandner, Sebastian Methylation array profiling of adult brain tumours: diagnostic outcomes in a large, single centre |
title | Methylation array profiling of adult brain tumours: diagnostic outcomes in a large, single centre |
title_full | Methylation array profiling of adult brain tumours: diagnostic outcomes in a large, single centre |
title_fullStr | Methylation array profiling of adult brain tumours: diagnostic outcomes in a large, single centre |
title_full_unstemmed | Methylation array profiling of adult brain tumours: diagnostic outcomes in a large, single centre |
title_short | Methylation array profiling of adult brain tumours: diagnostic outcomes in a large, single centre |
title_sort | methylation array profiling of adult brain tumours: diagnostic outcomes in a large, single centre |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6381711/ https://www.ncbi.nlm.nih.gov/pubmed/30786920 http://dx.doi.org/10.1186/s40478-019-0668-8 |
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