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DNA methylation profiling for molecular classification of adult diffuse lower-grade gliomas

BACKGROUND: DNA methylation profiling has facilitated and improved the classification of a wide variety of tumors of the central nervous system. In this study, we investigated the potential utility of DNA methylation profiling to achieve molecular diagnosis in adult primary diffuse lower-grade gliom...

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Autores principales: Ferreyra Vega, Sandra, Olsson Bontell, Thomas, Corell, Alba, Smits, Anja, Jakola, Asgeir Store, Carén, Helena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8091784/
https://www.ncbi.nlm.nih.gov/pubmed/33941250
http://dx.doi.org/10.1186/s13148-021-01085-7
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author Ferreyra Vega, Sandra
Olsson Bontell, Thomas
Corell, Alba
Smits, Anja
Jakola, Asgeir Store
Carén, Helena
author_facet Ferreyra Vega, Sandra
Olsson Bontell, Thomas
Corell, Alba
Smits, Anja
Jakola, Asgeir Store
Carén, Helena
author_sort Ferreyra Vega, Sandra
collection PubMed
description BACKGROUND: DNA methylation profiling has facilitated and improved the classification of a wide variety of tumors of the central nervous system. In this study, we investigated the potential utility of DNA methylation profiling to achieve molecular diagnosis in adult primary diffuse lower-grade glioma (dLGG) according to WHO 2016 classification system. We also evaluated whether methylation profiling could provide improved molecular characterization and identify prognostic differences beyond the classical histological WHO grade together with IDH mutation status and 1p/19q codeletion status. All patients diagnosed with dLGG in the period 2007–2016 from the Västra Götaland region in Sweden were assessed for inclusion in the study. RESULTS: A total of 166 dLGG cases were subjected for genome-wide DNA methylation analysis. Of these, 126 (76%) were assigned a defined diagnostic methylation class with a class prediction score ≥ 0.84 and subclass score ≥ 0.50. The assigned methylation classes were highly associated with their IDH mutation status and 1p/19q codeletion status. IDH-wildtype gliomas were further divided into subgroups with distinct molecular features. CONCLUSION: The stratification of the patients by methylation profiling was as effective as the integrated WHO 2016 molecular reclassification at predicting the clinical outcome of the patients. Our study shows that DNA methylation profiling is a reliable and robust approach for the classification of dLGG into molecular defined subgroups, providing accurate detection of molecular markers according to WHO 2016 classification. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-021-01085-7.
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spelling pubmed-80917842021-05-04 DNA methylation profiling for molecular classification of adult diffuse lower-grade gliomas Ferreyra Vega, Sandra Olsson Bontell, Thomas Corell, Alba Smits, Anja Jakola, Asgeir Store Carén, Helena Clin Epigenetics Research BACKGROUND: DNA methylation profiling has facilitated and improved the classification of a wide variety of tumors of the central nervous system. In this study, we investigated the potential utility of DNA methylation profiling to achieve molecular diagnosis in adult primary diffuse lower-grade glioma (dLGG) according to WHO 2016 classification system. We also evaluated whether methylation profiling could provide improved molecular characterization and identify prognostic differences beyond the classical histological WHO grade together with IDH mutation status and 1p/19q codeletion status. All patients diagnosed with dLGG in the period 2007–2016 from the Västra Götaland region in Sweden were assessed for inclusion in the study. RESULTS: A total of 166 dLGG cases were subjected for genome-wide DNA methylation analysis. Of these, 126 (76%) were assigned a defined diagnostic methylation class with a class prediction score ≥ 0.84 and subclass score ≥ 0.50. The assigned methylation classes were highly associated with their IDH mutation status and 1p/19q codeletion status. IDH-wildtype gliomas were further divided into subgroups with distinct molecular features. CONCLUSION: The stratification of the patients by methylation profiling was as effective as the integrated WHO 2016 molecular reclassification at predicting the clinical outcome of the patients. Our study shows that DNA methylation profiling is a reliable and robust approach for the classification of dLGG into molecular defined subgroups, providing accurate detection of molecular markers according to WHO 2016 classification. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-021-01085-7. BioMed Central 2021-05-03 /pmc/articles/PMC8091784/ /pubmed/33941250 http://dx.doi.org/10.1186/s13148-021-01085-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ferreyra Vega, Sandra
Olsson Bontell, Thomas
Corell, Alba
Smits, Anja
Jakola, Asgeir Store
Carén, Helena
DNA methylation profiling for molecular classification of adult diffuse lower-grade gliomas
title DNA methylation profiling for molecular classification of adult diffuse lower-grade gliomas
title_full DNA methylation profiling for molecular classification of adult diffuse lower-grade gliomas
title_fullStr DNA methylation profiling for molecular classification of adult diffuse lower-grade gliomas
title_full_unstemmed DNA methylation profiling for molecular classification of adult diffuse lower-grade gliomas
title_short DNA methylation profiling for molecular classification of adult diffuse lower-grade gliomas
title_sort dna methylation profiling for molecular classification of adult diffuse lower-grade gliomas
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8091784/
https://www.ncbi.nlm.nih.gov/pubmed/33941250
http://dx.doi.org/10.1186/s13148-021-01085-7
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