Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7715981/
http://dx.doi.org/10.1093/neuonc/noaa222.220
_version_ 1783619083338514432
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
work_keys_str_mv AT hovestadtvolker etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT shawmckenziel etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT beckalexander etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT lambosander etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT hackoliviaa etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT gojojohannes etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT madlenersibylle etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT mayrlisa etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT haberlerchristine etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT czechthomas etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT hansonderekr etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT koschmanncarl etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT jabadonada etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT huanganniea etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT slavcirene etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT pfisterstefanm etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT alexandrescusanda etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT bernsteinbradleye etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT koolmarcel etmr17singlecelltranscriptomeanalysisofetmrpatientsamples
AT filbinmariellag etmr17singlecelltranscriptomeanalysisofetmrpatientsamples