Metabolic Heterogeneity Evidenced by MRS among Patient-Derived Glioblastoma Multiforme Stem-Like Cells Accounts for Cell Clustering and Different Responses to Drugs
Joint Authors
Molinari, Agnese
Grande, Sveva
Palma, Alessandra
Ricci-Vitiani, Lucia
Luciani, Anna Maria
Buccarelli, Mariachiara
Biffoni, Mauro
Calcabrini, Annarica
D’Amore, Emanuela
Guidoni, Laura
Pallini, Roberto
Viti, Vincenza
Rosi, Antonella
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-18
Country of Publication
Egypt
No. of Pages
16
Abstract EN
Clustering of patient-derived glioma stem-like cells (GSCs) through unsupervised analysis of metabolites detected by magnetic resonance spectroscopy (MRS) evidenced three subgroups, namely clusters 1a and 1b, with high intergroup similarity and neural fingerprints, and cluster 2, with a metabolism typical of commercial tumor lines.
In addition, subclones generated by the same GSC line showed different metabolic phenotypes.
Aerobic glycolysis prevailed in cluster 2 cells as demonstrated by higher lactate production compared to cluster 1 cells.
Oligomycin, a mitochondrial ATPase inhibitor, induced high lactate extrusion only in cluster 1 cells, where it produced neutral lipid accumulation detected as mobile lipid signals by MRS and lipid droplets by confocal microscopy.
These results indicate a relevant role of mitochondrial fatty acid oxidation for energy production in GSCs.
On the other hand, further metabolic differences, likely accounting for different therapy responsiveness observed after etomoxir treatment, suggest that caution must be used in considering patient treatment with mitochondria FAO blockers.
Metabolomics and metabolic profiling may contribute to discover new diagnostic or prognostic biomarkers to be used for personalized therapies.
American Psychological Association (APA)
Grande, Sveva& Palma, Alessandra& Ricci-Vitiani, Lucia& Luciani, Anna Maria& Buccarelli, Mariachiara& Biffoni, Mauro…[et al.]. 2018. Metabolic Heterogeneity Evidenced by MRS among Patient-Derived Glioblastoma Multiforme Stem-Like Cells Accounts for Cell Clustering and Different Responses to Drugs. Stem Cells International،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1213345
Modern Language Association (MLA)
Grande, Sveva…[et al.]. Metabolic Heterogeneity Evidenced by MRS among Patient-Derived Glioblastoma Multiforme Stem-Like Cells Accounts for Cell Clustering and Different Responses to Drugs. Stem Cells International No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1213345
American Medical Association (AMA)
Grande, Sveva& Palma, Alessandra& Ricci-Vitiani, Lucia& Luciani, Anna Maria& Buccarelli, Mariachiara& Biffoni, Mauro…[et al.]. Metabolic Heterogeneity Evidenced by MRS among Patient-Derived Glioblastoma Multiforme Stem-Like Cells Accounts for Cell Clustering and Different Responses to Drugs. Stem Cells International. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1213345
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1213345