The integrative metabolomic-transcriptomic landscape of glioblastome multiforme
| Autor: | Oliver Schnell, Dietmar Pfeifer, Annette Gabelein, Daniel Delev, Stefan Weber, Nils Pompe, Bianca Mercas, Sabrina Heynckes, Irina Mader, Dieter Henrik Heiland, Jakob Wörner, Pamela Franco, Jan Gerrit Haaker |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Oncology medicine.medical_specialty Magnetic Resonance Spectroscopy Workflow 03 medical and health sciences transcriptomics glioblastoma multiforme 0302 clinical medicine Internal medicine Oncogenic signaling Medicine Cluster Analysis Humans Gene Regulatory Networks network analysis business.industry WGCNA Brain Neoplasms Gene Expression Profiling Immune escape Computational Biology Cancer Pathway medicine.disease metabolomics Transplantation 030104 developmental biology 030220 oncology & carcinogenesis Metabolome business Glioblastoma Transcriptome Research Paper |
| Zdroj: | Oncotarget |
| ISSN: | 1949-2553 |
| Popis: | // Dieter Henrik Heiland 1, 5 , Jakob Worner 2 , Jan Gerrit Haaker 1, 5 , Daniel Delev 1, 5 , Nils Pompe 2 , Bianca Mercas 1, 5 , Pamela Franco 1, 5 , Annette Gabelein 1, 5 , Sabrina Heynckes 1, 5 , Dietmar Pfeifer 3, 5 , Stefan Weber 2 , Irina Mader 4, 5 and Oliver Schnell 1, 5 1 Department of Neurosurgery, Medical Center, University of Freiburg, Freiburg, Germany 2 Institute of Physical Chemistry, Faculty of Chemistry and Pharmacy, University of Freiburg, Freiburg, Germany 3 Department of Hematology, Oncology and Stem Cell Transplantation, Medical Center, University of Freiburg, Freiburg, Germany 4 Department of Neuroradiology, Medical Center, University of Freiburg, Freiburg, Germany 5 Faculty of Medicine, University of Freiburg, Freiburg, Germany Correspondence to: Dieter Henrik Heiland, email: dieter.henrik.heiland@uniklinik-freiburg.de Keywords: metabolomics, transcriptomics, network analysis, glioblastoma multiforme, WGCNA Received: January 02, 2017 Accepted: February 23, 2017 Published: March 24, 2017 ABSTRACT The purpose of this study was to map the landscape of metabolic-transcriptional alterations in glioblastoma multiforme. Omic-datasets were acquired by metabolic profiling (1D-NMR spectroscopy n=33 Patient) and transcriptomic profiling (n=48 Patients). Both datasets were analyzed by integrative network modeling. The computed model concluded in four different metabolic-transcriptomic signatures containing: oligodendrocytic differentiation, cell-cycle functions, immune response and hypoxia. These clusters were found being distinguished by individual metabolism and distinct transcriptional programs. The study highlighted the association between metabolism and hallmarks of oncogenic signaling such as cell-cycle alterations, immune escape mechanism and other cancer pathway alterations. In conclusion, this study showed the strong influence of metabolic alterations in the wide scope of oncogenic transcriptional alterations. |
| Databáze: | OpenAIRE |
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