The Phenotypes of Proliferating Glioblastoma Cells Reside on a Single Axis of Variation
Although tumor-propagating cells can be derived from glioblastomas (GBM) of the proneural and mesenchymal subtypes, a glioma stem-like cell (GSC) of the classic subtype has not been identified. It is unclear whether mesenchymal GSCs (mGSC) and/or proneural GSCs (pGSC) alone are sufficient to generat...
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Published in | Cancer discovery Vol. 9; no. 12; pp. 1708 - 1719 |
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Main Authors | , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
01.12.2019
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Online Access | Get full text |
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Summary: | Although tumor-propagating cells can be derived from glioblastomas (GBM) of the proneural and mesenchymal subtypes, a glioma stem-like cell (GSC) of the classic subtype has not been identified. It is unclear whether mesenchymal GSCs (mGSC) and/or proneural GSCs (pGSC) alone are sufficient to generate the heterogeneity observed in GBM. We performed single-cell/single-nucleus RNA sequencing of 28 gliomas, and single-cell ATAC sequencing for 8 cases. We found that GBM GSCs reside on a single axis of variation, ranging from proneural to mesenchymal.
lineage tracing using both transcriptomics and genetics supports mGSCs as the progenitors of pGSCs. Dual inhibition of pGSC-enriched and mGSC-enriched growth and survival pathways provides a more complete treatment than combinations targeting one GSC phenotype alone. This study sheds light on a long-standing debate regarding lineage relationships among GSCs and presents a paradigm by which personalized combination therapies can be derived from single-cell RNA signatures, to overcome intratumor heterogeneity. SIGNIFICANCE: Tumor-propagating cells can be derived from mesenchymal and proneural glioblastomas. However, a stem cell of the classic subtype has yet to be demonstrated. We show that classic-subtype gliomas are comprised of proneural and mesenchymal cells. This study sheds light on a long-standing debate regarding lineage relationships between glioma cell types.
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Authors’ Contributions Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): L. Wang, H. Babikir, S. Müller, K. Shamardani, F. Catalan, G. Kohanbash, A. Kriegstein, S. Shah, A.A. Diaz Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): K. Shamardani, F. Catalan, A. Kriegstein, M.K. Aghi Conception and design: H. Babikir, A. Kriegstein, A.A. Diaz Development of methodology: L. Wang, H. Babikir, A. Kriegstein Writing, review, and/or revision of the manuscript: L. Wang, H. Babikir, G. Kohanbash, A. Kriegstein, S. Shah, S.M. Chang, J.J. Philips, A.A. Diaz Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): G. Yagnik, K. Shamardani, B. Alvarado, E. Di Lullo, A. Kriegstein, S. Shah, H. Wadhwa, S.M. Chang, J.J. Philips, M.K. Aghi Study supervision: M.K. Aghi, A.A. Diaz |
ISSN: | 2159-8274 2159-8290 |
DOI: | 10.1158/2159-8290.cd-19-0329 |