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Multidimensional scaling of diffuse gliomas: application to the 2016 World Health Organization classification system with prognostically relevant molecular subtype discovery

Recent updating of the World Health Organization (WHO) classification of central nervous system (CNS) tumors in 2016 demonstrates the first organized effort to restructure brain tumor classification by incorporating histomorphologic features with recurrent molecular alterations. Revised CNS tumor di...

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Autores principales: Cimino, Patrick J., Zager, Michael, McFerrin, Lisa, Wirsching, Hans-Georg, Bolouri, Hamid, Hentschel, Bettina, von Deimling, Andreas, Jones, David, Reifenberger, Guido, Weller, Michael, Holland, Eric C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5439117/
https://www.ncbi.nlm.nih.gov/pubmed/28532485
http://dx.doi.org/10.1186/s40478-017-0443-7
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author Cimino, Patrick J.
Zager, Michael
McFerrin, Lisa
Wirsching, Hans-Georg
Bolouri, Hamid
Hentschel, Bettina
von Deimling, Andreas
Jones, David
Reifenberger, Guido
Weller, Michael
Holland, Eric C.
author_facet Cimino, Patrick J.
Zager, Michael
McFerrin, Lisa
Wirsching, Hans-Georg
Bolouri, Hamid
Hentschel, Bettina
von Deimling, Andreas
Jones, David
Reifenberger, Guido
Weller, Michael
Holland, Eric C.
author_sort Cimino, Patrick J.
collection PubMed
description Recent updating of the World Health Organization (WHO) classification of central nervous system (CNS) tumors in 2016 demonstrates the first organized effort to restructure brain tumor classification by incorporating histomorphologic features with recurrent molecular alterations. Revised CNS tumor diagnostic criteria also attempt to reduce interobserver variability of histological interpretation and provide more accurate stratification related to clinical outcome. As an example, diffuse gliomas (WHO grades II–IV) are now molecularly stratified based upon isocitrate dehydrogenase 1 or 2 (IDH) mutational status, with gliomas of WHO grades II and III being substratified according to 1p/19q codeletion status. For now, grading of diffuse gliomas is still dependent upon histological parameters. Independent of WHO classification criteria, multidimensional scaling analysis of molecular signatures for diffuse gliomas from The Cancer Genome Atlas (TCGA) has identified distinct molecular subgroups, and allows for their visualization in 2-dimensional (2D) space. Using the web-based platform Oncoscape as a tool, we applied multidimensional scaling-derived molecular groups to the 2D visualization of the 2016 WHO classification of diffuse gliomas. Here we show that molecular multidimensional scaling of TCGA data provides 2D clustering that represents the 2016 WHO classification of diffuse gliomas. Additionally, we used this platform to successfully identify and define novel copy-number alteration-based molecular subtypes, which are independent of WHO grading, as well as predictive of clinical outcome. The prognostic utility of these molecular subtypes was further validated using an independent data set of the German Glioma Network prospective glioblastoma patient cohort. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40478-017-0443-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-54391172017-05-23 Multidimensional scaling of diffuse gliomas: application to the 2016 World Health Organization classification system with prognostically relevant molecular subtype discovery Cimino, Patrick J. Zager, Michael McFerrin, Lisa Wirsching, Hans-Georg Bolouri, Hamid Hentschel, Bettina von Deimling, Andreas Jones, David Reifenberger, Guido Weller, Michael Holland, Eric C. Acta Neuropathol Commun Research Recent updating of the World Health Organization (WHO) classification of central nervous system (CNS) tumors in 2016 demonstrates the first organized effort to restructure brain tumor classification by incorporating histomorphologic features with recurrent molecular alterations. Revised CNS tumor diagnostic criteria also attempt to reduce interobserver variability of histological interpretation and provide more accurate stratification related to clinical outcome. As an example, diffuse gliomas (WHO grades II–IV) are now molecularly stratified based upon isocitrate dehydrogenase 1 or 2 (IDH) mutational status, with gliomas of WHO grades II and III being substratified according to 1p/19q codeletion status. For now, grading of diffuse gliomas is still dependent upon histological parameters. Independent of WHO classification criteria, multidimensional scaling analysis of molecular signatures for diffuse gliomas from The Cancer Genome Atlas (TCGA) has identified distinct molecular subgroups, and allows for their visualization in 2-dimensional (2D) space. Using the web-based platform Oncoscape as a tool, we applied multidimensional scaling-derived molecular groups to the 2D visualization of the 2016 WHO classification of diffuse gliomas. Here we show that molecular multidimensional scaling of TCGA data provides 2D clustering that represents the 2016 WHO classification of diffuse gliomas. Additionally, we used this platform to successfully identify and define novel copy-number alteration-based molecular subtypes, which are independent of WHO grading, as well as predictive of clinical outcome. The prognostic utility of these molecular subtypes was further validated using an independent data set of the German Glioma Network prospective glioblastoma patient cohort. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40478-017-0443-7) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-22 /pmc/articles/PMC5439117/ /pubmed/28532485 http://dx.doi.org/10.1186/s40478-017-0443-7 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. 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
Cimino, Patrick J.
Zager, Michael
McFerrin, Lisa
Wirsching, Hans-Georg
Bolouri, Hamid
Hentschel, Bettina
von Deimling, Andreas
Jones, David
Reifenberger, Guido
Weller, Michael
Holland, Eric C.
Multidimensional scaling of diffuse gliomas: application to the 2016 World Health Organization classification system with prognostically relevant molecular subtype discovery
title Multidimensional scaling of diffuse gliomas: application to the 2016 World Health Organization classification system with prognostically relevant molecular subtype discovery
title_full Multidimensional scaling of diffuse gliomas: application to the 2016 World Health Organization classification system with prognostically relevant molecular subtype discovery
title_fullStr Multidimensional scaling of diffuse gliomas: application to the 2016 World Health Organization classification system with prognostically relevant molecular subtype discovery
title_full_unstemmed Multidimensional scaling of diffuse gliomas: application to the 2016 World Health Organization classification system with prognostically relevant molecular subtype discovery
title_short Multidimensional scaling of diffuse gliomas: application to the 2016 World Health Organization classification system with prognostically relevant molecular subtype discovery
title_sort multidimensional scaling of diffuse gliomas: application to the 2016 world health organization classification system with prognostically relevant molecular subtype discovery
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5439117/
https://www.ncbi.nlm.nih.gov/pubmed/28532485
http://dx.doi.org/10.1186/s40478-017-0443-7
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