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Efficient Mitochondrial Glutamine Targeting Prevails Over Glioblastoma Metabolic Plasticity.
- Source :
-
Clinical cancer research : an official journal of the American Association for Cancer Research [Clin Cancer Res] 2017 Oct 15; Vol. 23 (20), pp. 6292-6304. Date of Electronic Publication: 2017 Jul 18. - Publication Year :
- 2017
-
Abstract
- Purpose: Glioblastoma (GBM) is the most common and malignant form of primary human brain tumor in adults, with an average survival at diagnosis of 18 months. Metabolism is a new attractive therapeutic target in cancer; however, little is known about metabolic heterogeneity and plasticity within GBM tumors. We therefore aimed to investigate metabolic phenotyping of primary cultures in the context of molecular tumor heterogeneity to provide a proof of concept for personalized metabolic targeting of GBM. Experimental Design: We have analyzed extensively several primary GBM cultures using transcriptomics, metabolic phenotyping assays, and mitochondrial respirometry. Results: We found that metabolic phenotyping clearly identifies 2 clusters, GLN <superscript>High</superscript> and GLN <superscript>Low</superscript> , mainly based on metabolic plasticity and glutamine (GLN) utilization. Inhibition of glutamine metabolism slows the in vitro and in vivo growth of GLN <superscript>High</superscript> GBM cultures despite metabolic adaptation to nutrient availability, in particular by increasing pyruvate shuttling into mitochondria. Furthermore, phenotypic and molecular analyses show that highly proliferative GLN <superscript>High</superscript> cultures are CD133 <superscript>neg</superscript> and display a mesenchymal signature in contrast to CD133 <superscript>pos</superscript> GLN <superscript>Low</superscript> GBM cells. Conclusions: Our results show that metabolic phenotyping identified an essential metabolic pathway in a GBM cell subtype, and provide a proof of concept for theranostic metabolic targeting. Clin Cancer Res; 23(20); 6292-304. ©2017 AACR .<br /> (©2017 American Association for Cancer Research.)
- Subjects :
- Animals
Biomarkers
Brain Neoplasms genetics
Brain Neoplasms pathology
Cell Line, Tumor
Cell Proliferation drug effects
Cluster Analysis
Computational Biology methods
Disease Models, Animal
Energy Metabolism
Gene Expression Profiling
Glioblastoma genetics
Glioblastoma pathology
Glucose metabolism
Heterografts
Humans
Metabolomics methods
Mice
Models, Biological
Phenotype
Brain Neoplasms metabolism
Glioblastoma metabolism
Glutamine metabolism
Mitochondria metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1557-3265
- Volume :
- 23
- Issue :
- 20
- Database :
- MEDLINE
- Journal :
- Clinical cancer research : an official journal of the American Association for Cancer Research
- Publication Type :
- Academic Journal
- Accession number :
- 28720668
- Full Text :
- https://doi.org/10.1158/1078-0432.CCR-16-3102