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Comprehensive molecular characterisation of epilepsy-associated glioneuronal tumours
Glioneuronal tumours are an important cause of treatment-resistant epilepsy. Subtypes of tumour are often poorly discriminated by histological features and may be difficult to diagnose due to a lack of robust diagnostic tools. This is illustrated by marked variability in the reported frequencies acr...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5756244/ https://www.ncbi.nlm.nih.gov/pubmed/29058119 http://dx.doi.org/10.1007/s00401-017-1773-z |
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author | Stone, Thomas J. Keeley, Angus Virasami, Alex Harkness, William Tisdall, Martin Izquierdo Delgado, Elisa Gutteridge, Alice Brooks, Tony Kristiansen, Mark Chalker, Jane Wilkhu, Lisa Mifsud, William Apps, John Thom, Maria Hubank, Mike Forshew, Tim Cross, J. Helen Hargrave, Darren Ham, Jonathan Jacques, Thomas S. |
author_facet | Stone, Thomas J. Keeley, Angus Virasami, Alex Harkness, William Tisdall, Martin Izquierdo Delgado, Elisa Gutteridge, Alice Brooks, Tony Kristiansen, Mark Chalker, Jane Wilkhu, Lisa Mifsud, William Apps, John Thom, Maria Hubank, Mike Forshew, Tim Cross, J. Helen Hargrave, Darren Ham, Jonathan Jacques, Thomas S. |
author_sort | Stone, Thomas J. |
collection | PubMed |
description | Glioneuronal tumours are an important cause of treatment-resistant epilepsy. Subtypes of tumour are often poorly discriminated by histological features and may be difficult to diagnose due to a lack of robust diagnostic tools. This is illustrated by marked variability in the reported frequencies across different epilepsy surgical series. To address this, we used DNA methylation arrays and RNA sequencing to assay the methylation and expression profiles within a large cohort of glioneuronal tumours. By adopting a class discovery approach, we were able to identify two distinct groups of glioneuronal tumour, which only partially corresponded to the existing histological classification. Furthermore, by additional molecular analyses, we were able to identify pathogenic mutations in BRAF and FGFR1, specific to each group, in a high proportion of cases. Finally, by interrogating our expression data, we were able to show that each molecular group possessed expression phenotypes suggesting different cellular differentiation: astrocytic in one group and oligodendroglial in the second. Informed by this, we were able to identify CCND1, CSPG4, and PDGFRA as immunohistochemical targets which could distinguish between molecular groups. Our data suggest that the current histological classification of glioneuronal tumours does not adequately represent their underlying biology. Instead, we show that there are two molecular groups within glioneuronal tumours. The first of these displays astrocytic differentiation and is driven by BRAF mutations, while the second displays oligodendroglial differentiation and is driven by FGFR1 mutations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00401-017-1773-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5756244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-57562442018-01-22 Comprehensive molecular characterisation of epilepsy-associated glioneuronal tumours Stone, Thomas J. Keeley, Angus Virasami, Alex Harkness, William Tisdall, Martin Izquierdo Delgado, Elisa Gutteridge, Alice Brooks, Tony Kristiansen, Mark Chalker, Jane Wilkhu, Lisa Mifsud, William Apps, John Thom, Maria Hubank, Mike Forshew, Tim Cross, J. Helen Hargrave, Darren Ham, Jonathan Jacques, Thomas S. Acta Neuropathol Original Paper Glioneuronal tumours are an important cause of treatment-resistant epilepsy. Subtypes of tumour are often poorly discriminated by histological features and may be difficult to diagnose due to a lack of robust diagnostic tools. This is illustrated by marked variability in the reported frequencies across different epilepsy surgical series. To address this, we used DNA methylation arrays and RNA sequencing to assay the methylation and expression profiles within a large cohort of glioneuronal tumours. By adopting a class discovery approach, we were able to identify two distinct groups of glioneuronal tumour, which only partially corresponded to the existing histological classification. Furthermore, by additional molecular analyses, we were able to identify pathogenic mutations in BRAF and FGFR1, specific to each group, in a high proportion of cases. Finally, by interrogating our expression data, we were able to show that each molecular group possessed expression phenotypes suggesting different cellular differentiation: astrocytic in one group and oligodendroglial in the second. Informed by this, we were able to identify CCND1, CSPG4, and PDGFRA as immunohistochemical targets which could distinguish between molecular groups. Our data suggest that the current histological classification of glioneuronal tumours does not adequately represent their underlying biology. Instead, we show that there are two molecular groups within glioneuronal tumours. The first of these displays astrocytic differentiation and is driven by BRAF mutations, while the second displays oligodendroglial differentiation and is driven by FGFR1 mutations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00401-017-1773-z) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-10-20 2018 /pmc/articles/PMC5756244/ /pubmed/29058119 http://dx.doi.org/10.1007/s00401-017-1773-z Text en © The Author(s) 2017 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. |
spellingShingle | Original Paper Stone, Thomas J. Keeley, Angus Virasami, Alex Harkness, William Tisdall, Martin Izquierdo Delgado, Elisa Gutteridge, Alice Brooks, Tony Kristiansen, Mark Chalker, Jane Wilkhu, Lisa Mifsud, William Apps, John Thom, Maria Hubank, Mike Forshew, Tim Cross, J. Helen Hargrave, Darren Ham, Jonathan Jacques, Thomas S. Comprehensive molecular characterisation of epilepsy-associated glioneuronal tumours |
title | Comprehensive molecular characterisation of epilepsy-associated glioneuronal tumours |
title_full | Comprehensive molecular characterisation of epilepsy-associated glioneuronal tumours |
title_fullStr | Comprehensive molecular characterisation of epilepsy-associated glioneuronal tumours |
title_full_unstemmed | Comprehensive molecular characterisation of epilepsy-associated glioneuronal tumours |
title_short | Comprehensive molecular characterisation of epilepsy-associated glioneuronal tumours |
title_sort | comprehensive molecular characterisation of epilepsy-associated glioneuronal tumours |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5756244/ https://www.ncbi.nlm.nih.gov/pubmed/29058119 http://dx.doi.org/10.1007/s00401-017-1773-z |
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