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ETMR-17. SINGLE-CELL TRANSCRIPTOME ANALYSIS OF ETMR PATIENT SAMPLES
Brain tumors are comprised of cells with heterogeneous genetic and transcriptional states, resulting in substantial phenotypic diversity. This diversity is particularly evident in embryonal tumor with multilayered rosettes (ETMR), which shows a striking bi-phasic pattern for which it is named. A bet...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7715981/ http://dx.doi.org/10.1093/neuonc/noaa222.220 |
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author | Hovestadt, Volker Shaw, McKenzie L Beck, Alexander Lambo, Sander Hack, Olivia A Gojo, Johannes Madlener, Sibylle Mayr, Lisa Haberler, Christine Czech, Thomas Hanson, Derek R Koschmann, Carl Jabado, Nada Huang, Annie A Slavc, Irene Pfister, Stefan M Alexandrescu, Sanda Bernstein, Bradley E Kool, Marcel Filbin, Mariella G |
author_facet | Hovestadt, Volker Shaw, McKenzie L Beck, Alexander Lambo, Sander Hack, Olivia A Gojo, Johannes Madlener, Sibylle Mayr, Lisa Haberler, Christine Czech, Thomas Hanson, Derek R Koschmann, Carl Jabado, Nada Huang, Annie A Slavc, Irene Pfister, Stefan M Alexandrescu, Sanda Bernstein, Bradley E Kool, Marcel Filbin, Mariella G |
author_sort | Hovestadt, Volker |
collection | PubMed |
description | Brain tumors are comprised of cells with heterogeneous genetic and transcriptional states, resulting in substantial phenotypic diversity. This diversity is particularly evident in embryonal tumor with multilayered rosettes (ETMR), which shows a striking bi-phasic pattern for which it is named. A better understanding of its underlying molecular makeup is urgently needed to develop more effective therapeutic strategies that eliminate all malignant cell types underlying ETMR initiation, maintenance, progression, and relapse. Furthermore, the cellular origin of ETMR is currently poorly understood. We used plate-based single-cell RNA sequencing to assess the intratumoral heterogeneity in 6 fresh and 4 snap-frozen surgical biopsies, following a workflow that we have previously established to study pediatric high grade gliomas, medulloblastomas, and ependymomas. Computational analyses conducted on >4,000 single cells identified cellular hierarchies ranging from a proliferative, undifferentiated cell population to more differentiated, predominantly neural-like progeny in all samples. Patient-derived cell line and xenograft models partially recapitulated this hierarchy. We further integrated transcriptional programs identified in single cells with available datasets of the developing normal brain, as well as with programs identified in other pediatric brain tumor entities, to inform both putative cellular origins and ETMR-specific oncogenic pathways. These timely results provide unparalleled insights into the molecular underpinnings of the phenotypic heterogeneity observed in ETMR. Analyses aimed at further integrating malignant cell type abundances with genetic alterations and clinical annotations, and therapeutical targeting of malignant cell populations using in-vitro models are currently ongoing. |
format | Online Article Text |
id | pubmed-7715981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77159812020-12-09 ETMR-17. SINGLE-CELL TRANSCRIPTOME ANALYSIS OF ETMR PATIENT SAMPLES Hovestadt, Volker Shaw, McKenzie L Beck, Alexander Lambo, Sander Hack, Olivia A Gojo, Johannes Madlener, Sibylle Mayr, Lisa Haberler, Christine Czech, Thomas Hanson, Derek R Koschmann, Carl Jabado, Nada Huang, Annie A Slavc, Irene Pfister, Stefan M Alexandrescu, Sanda Bernstein, Bradley E Kool, Marcel Filbin, Mariella G Neuro Oncol ETMR and other Embryonal Tumors Brain tumors are comprised of cells with heterogeneous genetic and transcriptional states, resulting in substantial phenotypic diversity. This diversity is particularly evident in embryonal tumor with multilayered rosettes (ETMR), which shows a striking bi-phasic pattern for which it is named. A better understanding of its underlying molecular makeup is urgently needed to develop more effective therapeutic strategies that eliminate all malignant cell types underlying ETMR initiation, maintenance, progression, and relapse. Furthermore, the cellular origin of ETMR is currently poorly understood. We used plate-based single-cell RNA sequencing to assess the intratumoral heterogeneity in 6 fresh and 4 snap-frozen surgical biopsies, following a workflow that we have previously established to study pediatric high grade gliomas, medulloblastomas, and ependymomas. Computational analyses conducted on >4,000 single cells identified cellular hierarchies ranging from a proliferative, undifferentiated cell population to more differentiated, predominantly neural-like progeny in all samples. Patient-derived cell line and xenograft models partially recapitulated this hierarchy. We further integrated transcriptional programs identified in single cells with available datasets of the developing normal brain, as well as with programs identified in other pediatric brain tumor entities, to inform both putative cellular origins and ETMR-specific oncogenic pathways. These timely results provide unparalleled insights into the molecular underpinnings of the phenotypic heterogeneity observed in ETMR. Analyses aimed at further integrating malignant cell type abundances with genetic alterations and clinical annotations, and therapeutical targeting of malignant cell populations using in-vitro models are currently ongoing. Oxford University Press 2020-12-04 /pmc/articles/PMC7715981/ http://dx.doi.org/10.1093/neuonc/noaa222.220 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | ETMR and other Embryonal Tumors Hovestadt, Volker Shaw, McKenzie L Beck, Alexander Lambo, Sander Hack, Olivia A Gojo, Johannes Madlener, Sibylle Mayr, Lisa Haberler, Christine Czech, Thomas Hanson, Derek R Koschmann, Carl Jabado, Nada Huang, Annie A Slavc, Irene Pfister, Stefan M Alexandrescu, Sanda Bernstein, Bradley E Kool, Marcel Filbin, Mariella G ETMR-17. SINGLE-CELL TRANSCRIPTOME ANALYSIS OF ETMR PATIENT SAMPLES |
title | ETMR-17. SINGLE-CELL TRANSCRIPTOME ANALYSIS OF ETMR PATIENT SAMPLES |
title_full | ETMR-17. SINGLE-CELL TRANSCRIPTOME ANALYSIS OF ETMR PATIENT SAMPLES |
title_fullStr | ETMR-17. SINGLE-CELL TRANSCRIPTOME ANALYSIS OF ETMR PATIENT SAMPLES |
title_full_unstemmed | ETMR-17. SINGLE-CELL TRANSCRIPTOME ANALYSIS OF ETMR PATIENT SAMPLES |
title_short | ETMR-17. SINGLE-CELL TRANSCRIPTOME ANALYSIS OF ETMR PATIENT SAMPLES |
title_sort | etmr-17. single-cell transcriptome analysis of etmr patient samples |
topic | ETMR and other Embryonal Tumors |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7715981/ http://dx.doi.org/10.1093/neuonc/noaa222.220 |
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