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Integrative Network-based Analysis of Magnetic Resonance Spectroscopy and Genome Wide Expression in Glioblastoma multiforme

The goal of this study was to identify correlations between metabolites from proton MR spectroscopy and genetic pathway activity in glioblastoma multiforme (GBM). Twenty patients with primary GBM were analysed by short echo-time chemical shift imaging and genome-wide expression analyses. Weighed Gen...

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Autores principales: Heiland, Dieter Henrik, Mader, Irina, Schlosser, Pascal, Pfeifer, Dietmar, Carro, Maria Stella, Lange, Thomas, Schwarzwald, Ralf, Vasilikos, Ioannis, Urbach, Horst, Weyerbrock, Astrid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4924099/
https://www.ncbi.nlm.nih.gov/pubmed/27350391
http://dx.doi.org/10.1038/srep29052
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author Heiland, Dieter Henrik
Mader, Irina
Schlosser, Pascal
Pfeifer, Dietmar
Carro, Maria Stella
Lange, Thomas
Schwarzwald, Ralf
Vasilikos, Ioannis
Urbach, Horst
Weyerbrock, Astrid
author_facet Heiland, Dieter Henrik
Mader, Irina
Schlosser, Pascal
Pfeifer, Dietmar
Carro, Maria Stella
Lange, Thomas
Schwarzwald, Ralf
Vasilikos, Ioannis
Urbach, Horst
Weyerbrock, Astrid
author_sort Heiland, Dieter Henrik
collection PubMed
description The goal of this study was to identify correlations between metabolites from proton MR spectroscopy and genetic pathway activity in glioblastoma multiforme (GBM). Twenty patients with primary GBM were analysed by short echo-time chemical shift imaging and genome-wide expression analyses. Weighed Gene Co-Expression Analysis was used for an integrative analysis of imaging and genetic data. N-acetylaspartate, normalised to the contralateral healthy side (nNAA), was significantly correlated to oligodendrocytic and neural development. For normalised creatine (nCr), a group with low nCr was linked to the mesenchymal subtype, while high nCr could be assigned to the proneural subtype. Moreover, clustering of normalised glutamine and glutamate (nGlx) revealed two groups, one with high nGlx being attributed to the neural subtype, and one with low nGlx associated with the classical subtype. Hence, the metabolites nNAA, nCr, and nGlx correlate with a specific gene expression pattern reflecting the previously described subtypes of GBM. Moreover high nNAA was associated with better clinical prognosis, whereas patients with lower nNAA revealed a shorter progression-free survival (PFS).
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spelling pubmed-49240992016-06-29 Integrative Network-based Analysis of Magnetic Resonance Spectroscopy and Genome Wide Expression in Glioblastoma multiforme Heiland, Dieter Henrik Mader, Irina Schlosser, Pascal Pfeifer, Dietmar Carro, Maria Stella Lange, Thomas Schwarzwald, Ralf Vasilikos, Ioannis Urbach, Horst Weyerbrock, Astrid Sci Rep Article The goal of this study was to identify correlations between metabolites from proton MR spectroscopy and genetic pathway activity in glioblastoma multiforme (GBM). Twenty patients with primary GBM were analysed by short echo-time chemical shift imaging and genome-wide expression analyses. Weighed Gene Co-Expression Analysis was used for an integrative analysis of imaging and genetic data. N-acetylaspartate, normalised to the contralateral healthy side (nNAA), was significantly correlated to oligodendrocytic and neural development. For normalised creatine (nCr), a group with low nCr was linked to the mesenchymal subtype, while high nCr could be assigned to the proneural subtype. Moreover, clustering of normalised glutamine and glutamate (nGlx) revealed two groups, one with high nGlx being attributed to the neural subtype, and one with low nGlx associated with the classical subtype. Hence, the metabolites nNAA, nCr, and nGlx correlate with a specific gene expression pattern reflecting the previously described subtypes of GBM. Moreover high nNAA was associated with better clinical prognosis, whereas patients with lower nNAA revealed a shorter progression-free survival (PFS). Nature Publishing Group 2016-06-28 /pmc/articles/PMC4924099/ /pubmed/27350391 http://dx.doi.org/10.1038/srep29052 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Heiland, Dieter Henrik
Mader, Irina
Schlosser, Pascal
Pfeifer, Dietmar
Carro, Maria Stella
Lange, Thomas
Schwarzwald, Ralf
Vasilikos, Ioannis
Urbach, Horst
Weyerbrock, Astrid
Integrative Network-based Analysis of Magnetic Resonance Spectroscopy and Genome Wide Expression in Glioblastoma multiforme
title Integrative Network-based Analysis of Magnetic Resonance Spectroscopy and Genome Wide Expression in Glioblastoma multiforme
title_full Integrative Network-based Analysis of Magnetic Resonance Spectroscopy and Genome Wide Expression in Glioblastoma multiforme
title_fullStr Integrative Network-based Analysis of Magnetic Resonance Spectroscopy and Genome Wide Expression in Glioblastoma multiforme
title_full_unstemmed Integrative Network-based Analysis of Magnetic Resonance Spectroscopy and Genome Wide Expression in Glioblastoma multiforme
title_short Integrative Network-based Analysis of Magnetic Resonance Spectroscopy and Genome Wide Expression in Glioblastoma multiforme
title_sort integrative network-based analysis of magnetic resonance spectroscopy and genome wide expression in glioblastoma multiforme
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4924099/
https://www.ncbi.nlm.nih.gov/pubmed/27350391
http://dx.doi.org/10.1038/srep29052
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