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

Stem Cells International

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