Re-convolving the compositional landscape of primary and recurrent glioblastoma reveals prognostic and targetable tissue states.
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IF: 17.694
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Cited by: 2
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Datasets
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Abstract

Glioblastoma (GBM) diffusely infiltrates the brain and intermingles with non-neoplastic brain cells, including astrocytes, neurons and microglia/myeloid cells. This complex mixture of cell types forms the biological context for therapeutic response and tumor recurrence. We used single-nucleus RNA sequencing and spatial transcriptomics to determine the cellular composition and transcriptional states in primary and recurrent glioma and identified three compositional 'tissue-states' defined by cohabitation patterns between specific subpopulations of neoplastic and non-neoplastic brain cells. These tissue-states correlated with radiographic, histopathologic, and prognostic features and were enriched in distinct metabolic pathways. Fatty acid biosynthesis was enriched in the tissue-state defined by the cohabitation of astrocyte-like/mesenchymal glioma cells, reactive astrocytes, and macrophages, and was associated with recurrent GBM and shorter survival. Treating acute slices of GBM with a fatty acid synthesis inhibitor depleted the transcriptional signature of this pernicious tissue-state. These findings point to therapies that target interdependencies in the GBM microenvironment.

Keywords

Spatial Transcriptomics

MeSH terms

Humans
Glioblastoma
Prognosis
Brain Neoplasms
Glioma
Astrocytes
Tumor Microenvironment

Authors

Al-Dalahmah, Osama
Argenziano, Michael G
Kannan, Adithya
Mahajan, Aayushi
Furnari, Julia
Paryani, Fahad
Boyett, Deborah
Save, Akshay
Humala, Nelson
Khan, Fatima
Li, Juncheng
Lu, Hong
Sun, Yu
Tuddenham, John F
Goldberg, Alexander R
Dovas, Athanassios
Banu, Matei A
Sudhakar, Tejaswi
Bush, Erin
Lassman, Andrew B
McKhann, Guy M
Gill, Brian J A
Youngerman, Brett
Sisti, Michael B
Bruce, Jeffrey N
Sims, Peter A
Menon, Vilas
Canoll, Peter