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Δευτέρα 14 Νοεμβρίου 2022

TMIC-19. NEURODEVELOPMENTAL SUBTYPES SHAPE LIPID METABOLIC REPROGRAMMING IN GLIOMAS

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Abstract
Gliomas have been classified into molecular (proneural, classical, mesenchymal) and neurodevelopmental (astrocyte, mesenchymal, neural progenitor cell (NPC), oligodendrocyte progenitor cell (OPC)) subtypes describing inter- and intra-tumoral heterogeneity; however, the functional outcomes and therapeutic implications of these subtypes has yet to be fully described. Metabolic reprogramming is a hallmark of cancer, and malignant cells, including gliomas, acquire metabolic adaptations in response to a multitude of intrinsic (oncogenotype, mutations) and extrinsic (tumor microenvironment) factors to fuel neoplastic progression. Altered metabolism in glioma is of particular interest given the extensive molecular heterogeneity of tumors, while also developing in the brain microenvironment, a tissue known for its unique metabolic milieu. It is unknown whether neurodevelopmental subtypes influence metabolism in gliomas. Preliminary comprehensive lipidomi c and transcriptomic analysis of over 200 patient-derived glioma samples revealed that distinct lipid signatures were linked to neurodevelopmental subtypes. Specifically, proneural-like gliomas (OPC, NPC, Neuron) had a lipid metabolic profile enriched in ether lipids. Conversely, mesenchymal-like gliomas (radial glia, MES.progenitor, vascular) have a lipid metabolic profile enriched in triacylglycerides (TAGs). Intriguingly, these differences in lipid metabolic programs between subtypes were associated with environmental dependencies; in contrast to more mesenchymal like gliomas, which could grow irrespective of tumor microenvironment (brain or in vitro cell culture), the proneural-like gliomas required features of the brain microenvironment to accumulate complex fatty acids and grow. Collectively, these data emphasize the metabolic heterogeneity within gliomas, and reveal a subset of gliomas that lack metabolic plasticity in fatty acid biosynthetic programs, indicating a potential brain-microenvironment specific metabolic dependency linked to transcriptional identity that may be targeted for therapy.
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