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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Bibliographic Details
Published in:Scientific reports 2016-06, Vol.6 (1), p.29052-29052, Article 29052
Main Authors: Heiland, Dieter Henrik, Mader, Irina, Schlosser, Pascal, Pfeifer, Dietmar, Carro, Maria Stella, Lange, Thomas, Schwarzwald, Ralf, Vasilikos, Ioannis, Urbach, Horst, Weyerbrock, Astrid
Format: Article
Language:English
Subjects:
631/208/69
692/308/2056
Brain cancer
Cluster analysis
Gene expression
Genomes
Humanities and Social Sciences
Hypoxia
Medical prognosis
Metabolism
Metabolites
multidisciplinary
Science
Spectroscopy
Spectrum analysis
Tumors
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Summary: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).
ISSN:2045-2322
2045-2322
DOI:10.1038/srep29052