Cargando…
Spatial progression and molecular heterogeneity of IDH-mutant glioblastoma determined by DNA methylation-based mapping
Glioblastoma (GBM) is the most common malignant primary central nervous system (CNS) neoplasm in adults, and has an almost universally poor prognosis. Recently, an emphasis on genetic and epigenetic profiling has revealed a number of molecular features useful in the diagnostic and prognostic classif...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8243907/ https://www.ncbi.nlm.nih.gov/pubmed/34193272 http://dx.doi.org/10.1186/s40478-021-01221-7 |
_version_ | 1783715823359098880 |
---|---|
author | Lyon, James F. Vasudevaraja, Varshini Mirchia, Kanish Walker, Jamie M. Corona, Robert J. Chin, Lawrence S. Tran, Ivy Snuderl, Matija Richardson, Timothy E. Viapiano, Mariano S. |
author_facet | Lyon, James F. Vasudevaraja, Varshini Mirchia, Kanish Walker, Jamie M. Corona, Robert J. Chin, Lawrence S. Tran, Ivy Snuderl, Matija Richardson, Timothy E. Viapiano, Mariano S. |
author_sort | Lyon, James F. |
collection | PubMed |
description | Glioblastoma (GBM) is the most common malignant primary central nervous system (CNS) neoplasm in adults, and has an almost universally poor prognosis. Recently, an emphasis on genetic and epigenetic profiling has revealed a number of molecular features useful in the diagnostic and prognostic classification of GBM, advancing our understanding of the underlying features that make these tumors so aggressive and providing the rationale for the creation of better targeted therapeutics. One such method, DNA methylation profiling, has recently emerged as an important technique for the classification of CNS tumors, with diagnostic accuracy in some cases surpassing traditional methods. However, how DNA methylation profiles change with the course of the disease remains less understood. Here, we present a case of a 30-year-old male with primary IDH-mutant GBM with widespread recurrence and death two years later. Using unsupervised hierarchical clustering of methylation probes, we created a phylogenetic map to trace the tumor path as it spread from the initial biopsy site throughout the right hemisphere, across the corpus callosum to the contralateral hemisphere, and into the brainstem. We identified molecular divergence between the right and left hemisphere GBM samples marked by distinct copy number profile alterations, alterations in specific methylation sites, and regional loss of MGMT promoter methylation, providing a potential mechanism for treatment resistance in this case. In summary, this case both highlights the molecular diversity in GBM, and illustrates a novel use for methylation profiling in establishing a phylogenetic profile to allow for spatial mapping of tumor progression. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40478-021-01221-7. |
format | Online Article Text |
id | pubmed-8243907 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82439072021-06-30 Spatial progression and molecular heterogeneity of IDH-mutant glioblastoma determined by DNA methylation-based mapping Lyon, James F. Vasudevaraja, Varshini Mirchia, Kanish Walker, Jamie M. Corona, Robert J. Chin, Lawrence S. Tran, Ivy Snuderl, Matija Richardson, Timothy E. Viapiano, Mariano S. Acta Neuropathol Commun Case Report Glioblastoma (GBM) is the most common malignant primary central nervous system (CNS) neoplasm in adults, and has an almost universally poor prognosis. Recently, an emphasis on genetic and epigenetic profiling has revealed a number of molecular features useful in the diagnostic and prognostic classification of GBM, advancing our understanding of the underlying features that make these tumors so aggressive and providing the rationale for the creation of better targeted therapeutics. One such method, DNA methylation profiling, has recently emerged as an important technique for the classification of CNS tumors, with diagnostic accuracy in some cases surpassing traditional methods. However, how DNA methylation profiles change with the course of the disease remains less understood. Here, we present a case of a 30-year-old male with primary IDH-mutant GBM with widespread recurrence and death two years later. Using unsupervised hierarchical clustering of methylation probes, we created a phylogenetic map to trace the tumor path as it spread from the initial biopsy site throughout the right hemisphere, across the corpus callosum to the contralateral hemisphere, and into the brainstem. We identified molecular divergence between the right and left hemisphere GBM samples marked by distinct copy number profile alterations, alterations in specific methylation sites, and regional loss of MGMT promoter methylation, providing a potential mechanism for treatment resistance in this case. In summary, this case both highlights the molecular diversity in GBM, and illustrates a novel use for methylation profiling in establishing a phylogenetic profile to allow for spatial mapping of tumor progression. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40478-021-01221-7. BioMed Central 2021-06-30 /pmc/articles/PMC8243907/ /pubmed/34193272 http://dx.doi.org/10.1186/s40478-021-01221-7 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 | Case Report Lyon, James F. Vasudevaraja, Varshini Mirchia, Kanish Walker, Jamie M. Corona, Robert J. Chin, Lawrence S. Tran, Ivy Snuderl, Matija Richardson, Timothy E. Viapiano, Mariano S. Spatial progression and molecular heterogeneity of IDH-mutant glioblastoma determined by DNA methylation-based mapping |
title | Spatial progression and molecular heterogeneity of IDH-mutant glioblastoma determined by DNA methylation-based mapping |
title_full | Spatial progression and molecular heterogeneity of IDH-mutant glioblastoma determined by DNA methylation-based mapping |
title_fullStr | Spatial progression and molecular heterogeneity of IDH-mutant glioblastoma determined by DNA methylation-based mapping |
title_full_unstemmed | Spatial progression and molecular heterogeneity of IDH-mutant glioblastoma determined by DNA methylation-based mapping |
title_short | Spatial progression and molecular heterogeneity of IDH-mutant glioblastoma determined by DNA methylation-based mapping |
title_sort | spatial progression and molecular heterogeneity of idh-mutant glioblastoma determined by dna methylation-based mapping |
topic | Case Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8243907/ https://www.ncbi.nlm.nih.gov/pubmed/34193272 http://dx.doi.org/10.1186/s40478-021-01221-7 |
work_keys_str_mv | AT lyonjamesf spatialprogressionandmolecularheterogeneityofidhmutantglioblastomadeterminedbydnamethylationbasedmapping AT vasudevarajavarshini spatialprogressionandmolecularheterogeneityofidhmutantglioblastomadeterminedbydnamethylationbasedmapping AT mirchiakanish spatialprogressionandmolecularheterogeneityofidhmutantglioblastomadeterminedbydnamethylationbasedmapping AT walkerjamiem spatialprogressionandmolecularheterogeneityofidhmutantglioblastomadeterminedbydnamethylationbasedmapping AT coronarobertj spatialprogressionandmolecularheterogeneityofidhmutantglioblastomadeterminedbydnamethylationbasedmapping AT chinlawrences spatialprogressionandmolecularheterogeneityofidhmutantglioblastomadeterminedbydnamethylationbasedmapping AT tranivy spatialprogressionandmolecularheterogeneityofidhmutantglioblastomadeterminedbydnamethylationbasedmapping AT snuderlmatija spatialprogressionandmolecularheterogeneityofidhmutantglioblastomadeterminedbydnamethylationbasedmapping AT richardsontimothye spatialprogressionandmolecularheterogeneityofidhmutantglioblastomadeterminedbydnamethylationbasedmapping AT viapianomarianos spatialprogressionandmolecularheterogeneityofidhmutantglioblastomadeterminedbydnamethylationbasedmapping |