Background: Brain-tumor-initiating cells (BTICs) of proneural and mesenchymal origin contribute to the highly malignant phenotype of glioblastoma (GB) and resistance to current therapies.
Methods: BTICs of different subtypes representing tumor heterogeneity were challenged with OXPHOS (oxidative phosphorylation) inhibition to assess the differential effects of metabolic intervention on key resistance features.
Results: Whereas mesenchymal BTICs were more invasive, more glycolytic and less responsive to OXPHOS-inhibition, proneural BTICs were less invasive, catabolized glucose more via the pentose phosphate pathways, and responded better to OXPHOS inhibition.
Conclusion: Targeting glycolysis may be a promising approach to inhibit highly invasive tumor cells of mesenchymal origin, whereas proneural cells are more responsive to OXPHOS inhibition. Future clinical trials exploring metabolic interventions should account for metabolic heterogeneity of brain tumors to overcome resistance to current treatments.

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This is a list of supplementary files associated with this preprint. Click to download.
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Posted 23 Dec, 2020
Posted 23 Dec, 2020
Background: Brain-tumor-initiating cells (BTICs) of proneural and mesenchymal origin contribute to the highly malignant phenotype of glioblastoma (GB) and resistance to current therapies.
Methods: BTICs of different subtypes representing tumor heterogeneity were challenged with OXPHOS (oxidative phosphorylation) inhibition to assess the differential effects of metabolic intervention on key resistance features.
Results: Whereas mesenchymal BTICs were more invasive, more glycolytic and less responsive to OXPHOS-inhibition, proneural BTICs were less invasive, catabolized glucose more via the pentose phosphate pathways, and responded better to OXPHOS inhibition.
Conclusion: Targeting glycolysis may be a promising approach to inhibit highly invasive tumor cells of mesenchymal origin, whereas proneural cells are more responsive to OXPHOS inhibition. Future clinical trials exploring metabolic interventions should account for metabolic heterogeneity of brain tumors to overcome resistance to current treatments.

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6
This is a list of supplementary files associated with this preprint. Click to download.
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