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MEDB-44. Transcriptomic resolution of subgroup-specific medulloblastoma architecture
Despite a growing understanding and stratification of medulloblastoma, it remains an aggressive childhood brain tumor with high morbidity and mortality. Multimodal genomic and epigenomic analysis has permitted the classification of medulloblastoma into four subgroups with varying biology and clinica...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9165111/ http://dx.doi.org/10.1093/neuonc/noac079.418 |
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author | Willard, Nicholas Riemondy, Kent Griesinger, Andrea Kaufman, Michael Venkataraman, Sujatha Foreman, Nicholas Vibhakar, Rajeev Donson, Andrew |
author_facet | Willard, Nicholas Riemondy, Kent Griesinger, Andrea Kaufman, Michael Venkataraman, Sujatha Foreman, Nicholas Vibhakar, Rajeev Donson, Andrew |
author_sort | Willard, Nicholas |
collection | PubMed |
description | Despite a growing understanding and stratification of medulloblastoma, it remains an aggressive childhood brain tumor with high morbidity and mortality. Multimodal genomic and epigenomic analysis has permitted the classification of medulloblastoma into four subgroups with varying biology and clinical behavior: WNT, Sonic-Hedgehog (SHH), Group 3, and Group 4. In our previously published work, Single-cell RNA sequencing (scRNAseq) identified distinct tumor cell subpopulations in specific medulloblastoma groups. However, this technology is limited by its lack of architectural information. Spatial transcriptomics is a relatively new technology that permits the analysis of gene expression as it occurs within organized tissue. In our ongoing study, we utilized Visium spatial transcriptomics, integrated with scRNAseq data and immunohistochemistry, to analyze frozen samples of medulloblastomas (SHH, Group 4, and Group 3 with and without MYC amplification). In SHH in particular, we were able to identify scRNAseq populations within the geographically constricted Visium data, including SHH-C2, a population located in histologic nodules, the predominant neuronal-differentiated population SHH-C1, and progenitor populations (SHH-B1 and B2). In addition, we were able to visualize clusters not detectable by scRNAseq – a cluster lining nodules with expression of vascular endothelium marker, reticulin and M2-macrophage genes, and a novel DNA-repair cluster. In addition, Visium data permits the spatial constraint of proliferating cells, which is frequently problematic in scRNAseq, as dividing cells cluster independently. The proliferation is highest in the SHH-B2 minor progenitor population, absent in the SHH-C1 major differentiated population, and is moderate in other population including the SHH-C2 nodules. Group 3 and 4 medulloblastoma are more complex but show preliminary corroboration with scRNAseq data. In summary, Visium allows us to map subpopulations identified by scRNAseq to tumor architecture more definitively and rapidly than IHC. These novel insights advance our understanding of medulloblastoma, a critical step in improving treatment options for children with this disease. |
format | Online Article Text |
id | pubmed-9165111 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91651112022-06-05 MEDB-44. Transcriptomic resolution of subgroup-specific medulloblastoma architecture Willard, Nicholas Riemondy, Kent Griesinger, Andrea Kaufman, Michael Venkataraman, Sujatha Foreman, Nicholas Vibhakar, Rajeev Donson, Andrew Neuro Oncol Medulloblastoma Despite a growing understanding and stratification of medulloblastoma, it remains an aggressive childhood brain tumor with high morbidity and mortality. Multimodal genomic and epigenomic analysis has permitted the classification of medulloblastoma into four subgroups with varying biology and clinical behavior: WNT, Sonic-Hedgehog (SHH), Group 3, and Group 4. In our previously published work, Single-cell RNA sequencing (scRNAseq) identified distinct tumor cell subpopulations in specific medulloblastoma groups. However, this technology is limited by its lack of architectural information. Spatial transcriptomics is a relatively new technology that permits the analysis of gene expression as it occurs within organized tissue. In our ongoing study, we utilized Visium spatial transcriptomics, integrated with scRNAseq data and immunohistochemistry, to analyze frozen samples of medulloblastomas (SHH, Group 4, and Group 3 with and without MYC amplification). In SHH in particular, we were able to identify scRNAseq populations within the geographically constricted Visium data, including SHH-C2, a population located in histologic nodules, the predominant neuronal-differentiated population SHH-C1, and progenitor populations (SHH-B1 and B2). In addition, we were able to visualize clusters not detectable by scRNAseq – a cluster lining nodules with expression of vascular endothelium marker, reticulin and M2-macrophage genes, and a novel DNA-repair cluster. In addition, Visium data permits the spatial constraint of proliferating cells, which is frequently problematic in scRNAseq, as dividing cells cluster independently. The proliferation is highest in the SHH-B2 minor progenitor population, absent in the SHH-C1 major differentiated population, and is moderate in other population including the SHH-C2 nodules. Group 3 and 4 medulloblastoma are more complex but show preliminary corroboration with scRNAseq data. In summary, Visium allows us to map subpopulations identified by scRNAseq to tumor architecture more definitively and rapidly than IHC. These novel insights advance our understanding of medulloblastoma, a critical step in improving treatment options for children with this disease. Oxford University Press 2022-06-03 /pmc/articles/PMC9165111/ http://dx.doi.org/10.1093/neuonc/noac079.418 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://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 | Medulloblastoma Willard, Nicholas Riemondy, Kent Griesinger, Andrea Kaufman, Michael Venkataraman, Sujatha Foreman, Nicholas Vibhakar, Rajeev Donson, Andrew MEDB-44. Transcriptomic resolution of subgroup-specific medulloblastoma architecture |
title | MEDB-44. Transcriptomic resolution of subgroup-specific medulloblastoma architecture |
title_full | MEDB-44. Transcriptomic resolution of subgroup-specific medulloblastoma architecture |
title_fullStr | MEDB-44. Transcriptomic resolution of subgroup-specific medulloblastoma architecture |
title_full_unstemmed | MEDB-44. Transcriptomic resolution of subgroup-specific medulloblastoma architecture |
title_short | MEDB-44. Transcriptomic resolution of subgroup-specific medulloblastoma architecture |
title_sort | medb-44. transcriptomic resolution of subgroup-specific medulloblastoma architecture |
topic | Medulloblastoma |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9165111/ http://dx.doi.org/10.1093/neuonc/noac079.418 |
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