Altered lipid metabolism marks glioblastoma stem and non-stem cells in separate tumor niches
| Autor: | H. Alex Brown, J. Mark Brown, Jeremy N. Rich, Justin D. Lathia, Luiz O. F. Penalva, Briana C. Prager, Arnon Møldrup Knudsen, Sajina Shakya, Christopher G. Hubert, Bjarne Winther Kristensen, Anthony D. Gromovsky, James S. Hale, Lisa C. Wallace |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Organoid
Tumor heterogeneity FADS1 Cell Biology Pathology and Forensic Medicine Cellular and Molecular Neuroscience Downregulation and upregulation Cancer stem cell Lipid droplet medicine Tumor Cells Cultured Tumor Microenvironment Humans RC346-429 Brain Neoplasms Research Lipid metabolism Lipid Metabolism Lipid droplets Phenotype Organoids medicine.anatomical_structure Cancer research Neoplastic Stem Cells Neurology. Diseases of the nervous system Neurology (clinical) Stem cell Glioblastoma |
| Zdroj: | Shakya, S, Gromovsky, A D, Hale, J S, Knudsen, A M, Prager, B, Wallace, L C, Penalva, L O F, Brown, H A, Kristensen, B W, Rich, J N, Lathia, J D, Brown, J M & Hubert, C G 2021, ' Altered lipid metabolism marks glioblastoma stem and non-stem cells in separate tumor niches ', Acta Neuropathologica Communications, vol. 9, 101 . https://doi.org/10.1186/s40478-021-01205-7 Acta Neuropathologica Communications Acta Neuropathologica Communications, Vol 9, Iss 1, Pp 1-18 (2021) |
| DOI: | 10.1186/s40478-021-01205-7 |
| Popis: | BackgroundGlioblastoma (GBM) is marked by cellular heterogeneity, including metabolic heterogeneity, that varies among cellular microenvironments in the same tumor. Altered cellular metabolism in cancer is well-established, but how lipid metabolism is altered to suit different microenvironmental conditions and cellular states within a tumor remains unexplored.MethodsWe assessed GBM organoid models that mimic the transition zone between nutrient-rich and nutrient-poor pseudopalisading/perinecrotic tumor zones and performed spatial RNA-sequencing of cells to interrogate lipid metabolism. Using targeted lipidomic analysis, we assessed differences in acutely enriched cancer stem cells (CSCs) and non-CSCs from multiple patient-derived models to explore the link between the stem cell state and lipid metabolism.ResultsSpatial analysis revealed a striking difference in lipid content between microenvironments, with lipid enrichment in the hypoxic organoid cores and the perinecrotic and pseudopalisading regions of primary patient tumors. This was accompanied by regionally restricted upregulation of hypoxia-inducible lipid droplet-associated (HILPDA) gene expression in organoid cores and in clinical GBM specimens, but not lower-grade brain tumors, that was specifically localized to pseudopalisading regions of patient tumors. CSCs have low lipid droplet accumulation compared to non-CSCs in organoid models and xenograft tumors, and prospectively sorted lipid-low GBM cells are functionally enriched for stem cell activity. Targeted lipidomic analysis revealed that CSCs had decreased levels of major classes of neutral lipids compared to non-CSCs but had significantly increased polyunsaturated fatty acid production due to high fatty acid desaturase (FADS1/2) expression.ConclusionsOur data demonstrate that lipid metabolism is differentially altered across GBM microenvironments and cellular hierarchies, providing guidance for targeting of these altered lipid metabolic pathways.Key pointsGBM cells in nutrient-poor tumor regions have increased accumulation of lipid droplets.CSCs have reduced lipid content compared to non-CSCs.GBM CSCs and non-CSCs have disparate lipid metabolisms that may be uniquely targetable.Importance of the StudyMetabolic targeting has long been advocated as a therapy against many tumors including GBM, and it remains an outstanding question whether cancer stem cells (CSCs) have altered lipid metabolism. We demonstrated striking differences in lipid metabolism between diverse cell populations from the same patient. These spatially and phenotypically distinct lipid phenotypes occur clinically in the majority of patients and can be recapitulated in laboratory models. Lipidomic analysis of multiple patient-derived models shows a significant shift in lipid metabolism between GBM CSCs and non-CSCs, suggesting that lipid levels may not be simply a product of the microenvironment but also may be a reflection of cellular state. Our results suggest that therapeutic targeting of GBM lipid metabolism must consider multiple separate tumor cell populations to be effective, and we provide a methodologic framework for studying these metabolically diverse cellular populations. |
| Databáze: | OpenAIRE |
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