Skip to main content
Neuro-Oncology logoLink to Neuro-Oncology
. 2019 Nov 11;21(Suppl 6):vi253–vi254. doi: 10.1093/neuonc/noz175.1063

TMIC-29. METABOLIC INTERACTIONS BETWEEN TREATMENT-RESISTANT SLOW-CYCLING CELLS AND THE IMMUNE SYSTEM IN HIGH-GRADE GLIOMA

Elias Sayour 1, Changlin Yang 2, Guimei Tian 1, Adam Grippin 1, Mariana Dajac 1, Brian Nazareth 1, Michael Andrews 1, Aida Karachi 3, Hector Mendez-Gomez 1, Brian Stover 1, Ginger Moore 1, Joseph Flores-Toro 1, Bayli Divita 1, Jesse Kresak 4, Maryam Rahman 5, Catherine Flores 1, Jianping Huang 1, Jeffrey Harrison 6, Duane Mitchell 2, Loic Deleyrolle 1
PMCID: PMC6845504

Abstract

INTRODUCTION

Intratumoral heterogeneity is increasingly recognized as a determinant of therapy resistance and disease recurrence; this is exemplified by glioblastoma (GBM), one of the most lethal malignancies. We recently revealed that GBM contain cell subpopulations with distinct metabolic requirements, with fast-cycling cells (FCCs) harnessing aerobic glycolysis, and treatment-resistant slow-cycling cells (SCCs) preferentially engaging lipid metabolism. How the different tumor cell populations interact with immune cells and how this metabolic heterogeneity shapes the immune landscape in GBM has yet to be understood. OBJECTIVES: The objectives of this study are to understand the mechanisms of communication in the tumor microenvironment, specifically to characterize the metabolic interactions between SCCs (a therapeutically resistant population of cancer cells that drive disease progression and recurrence) and the immune compartment.

METHODS

The murine glioma cell line KR158 (derived from a Nf1;Trp53 mutant mouse) was used to establish the slow-cycling cell paradigm and metabolic heterogeneity in an immune-competent model of glioma.

RESULTS

Similar to what we observed in patient-derived specimens, mouse KR158-derived SCCs demonstrate tumorigenicity, treatment resistance and up-regulation of stemness programs and lipid metabolic pathways. We determined that tumor progression is regulated by the interaction of SCCs with the immune system and established that these cells are driving a pro-tumorigenic microenvironment via the recruitment of immune suppressive myeloid cells. Importantly, the immune microenvironment shaped by SCCs is marked by specific metabolic features showing enhanced lipid exchange capacities that we propose are exploited by SCCs to support their survival and functions.

CONCLUSION

Our study indicates that SCCs play a pivotal role in shifting the GBM milieu toward an immune regulatory phenotype but importantly reveals an unprecedented metabolic cooperation, which represents a novel therapeutic target to antagonize GBM.


Articles from Neuro-Oncology are provided here courtesy of Society for Neuro-Oncology and Oxford University Press

RESOURCES