Literature DB >> 30322894

Infiltrative and drug-resistant slow-cycling cells support metabolic heterogeneity in glioblastoma.

Lan B Hoang-Minh1,2, Florian A Siebzehnrubl3, Changlin Yang2,4, Silveli Suzuki-Hatano5, Kyle Dajac4, Tyler Loche4, Nicholas Andrews4, Michael Schmoll Massari4, Jaimin Patel4, Krisha Amin4, Alvin Vuong4, Ana Jimenez-Pascual3, Paul Kubilis4, Timothy J Garrett6, Craig Moneypenny7, Christina A Pacak5, Jianping Huang2,4, Elias J Sayour2,4, Duane A Mitchell2,4, Matthew R Sarkisian1,2, Brent A Reynolds8,4, Loic P Deleyrolle8,4.   

Abstract

Metabolic reprogramming has been described in rapidly growing tumors, which are thought to mostly contain fast-cycling cells (FCCs) that have impaired mitochondrial function and rely on aerobic glycolysis. Here, we characterize the metabolic landscape of glioblastoma (GBM) and explore metabolic specificities as targetable vulnerabilities. Our studies highlight the metabolic heterogeneity in GBM, in which FCCs harness aerobic glycolysis, and slow-cycling cells (SCCs) preferentially utilize mitochondrial oxidative phosphorylation for their functions. SCCs display enhanced invasion and chemoresistance, suggesting their important role in tumor recurrence. SCCs also demonstrate increased lipid contents that are specifically metabolized under glucose-deprived conditions. Fatty acid transport in SCCs is targetable by pharmacological inhibition or genomic deletion of FABP7, both of which sensitize SCCs to metabolic stress. Furthermore, FABP7 inhibition, whether alone or in combination with glycolysis inhibition, leads to overall increased survival. Our studies reveal the existence of GBM cell subpopulations with distinct metabolic requirements and suggest that FABP7 is central to lipid metabolism in SCCs and that targeting FABP7-related metabolic pathways is a viable therapeutic strategy.
© 2018 The Authors.

Entities:  

Keywords:  brain cancer; cancer stem cells; glioblastoma; metabolism; slow‐cycling cells

Mesh:

Substances:

Year:  2018        PMID: 30322894      PMCID: PMC6276884          DOI: 10.15252/embj.201798772

Source DB:  PubMed          Journal:  EMBO J        ISSN: 0261-4189            Impact factor:   11.598


  87 in total

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  46 in total

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