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Single-cell DNA sequencing identifies risk-associated clonal complexity and evolutionary trajectories in childhood medulloblastoma development
We reconstructed the natural history and temporal evolution of the most common childhood brain malignancy, medulloblastoma, by single-cell whole-genome sequencing (sc-WGS) of tumours representing its major molecular sub-classes and clinical risk groups. Favourable-risk disease sub-types assessed (MB...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381458/ https://www.ncbi.nlm.nih.gov/pubmed/35831448 http://dx.doi.org/10.1007/s00401-022-02464-x |
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author | Danilenko, Marina Zaka, Masood Keeling, Claire Crosier, Stephen Lyman, Stephanie Finetti, Martina Williamson, Daniel Hussain, Rafiqul Coxhead, Jonathan Zhou, Peixun Hill, Rebecca M. Hicks, Debbie Rand, Vikki Joshi, Abhijit Schwalbe, Edward C. Bailey, Simon Clifford, Steven C. |
author_facet | Danilenko, Marina Zaka, Masood Keeling, Claire Crosier, Stephen Lyman, Stephanie Finetti, Martina Williamson, Daniel Hussain, Rafiqul Coxhead, Jonathan Zhou, Peixun Hill, Rebecca M. Hicks, Debbie Rand, Vikki Joshi, Abhijit Schwalbe, Edward C. Bailey, Simon Clifford, Steven C. |
author_sort | Danilenko, Marina |
collection | PubMed |
description | We reconstructed the natural history and temporal evolution of the most common childhood brain malignancy, medulloblastoma, by single-cell whole-genome sequencing (sc-WGS) of tumours representing its major molecular sub-classes and clinical risk groups. Favourable-risk disease sub-types assessed (MB(WNT) and infant desmoplastic/nodular MB(SHH)) typically comprised a single clone with no evidence of further evolution. In contrast, highest risk sub-classes (MYC-amplified MB(Group3) and TP53-mutated MB(SHH)) were most clonally diverse and displayed gradual evolutionary trajectories. Clinically adopted biomarkers (e.g. chromosome 6/17 aberrations; CTNNB1/TP53 mutations) were typically early-clonal/initiating events, exploitable as targets for early-disease detection; in analyses of spatially distinct tumour regions, a single biopsy was sufficient to assess their status. Importantly, sc-WGS revealed novel events which arise later and/or sub-clonally and more commonly display spatial diversity; their clinical significance and role in disease evolution post-diagnosis now require establishment. These findings reveal diverse modes of tumour initiation and evolution in the major medulloblastoma sub-classes, with pathogenic relevance and clinical potential. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00401-022-02464-x. |
format | Online Article Text |
id | pubmed-9381458 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-93814582022-08-18 Single-cell DNA sequencing identifies risk-associated clonal complexity and evolutionary trajectories in childhood medulloblastoma development Danilenko, Marina Zaka, Masood Keeling, Claire Crosier, Stephen Lyman, Stephanie Finetti, Martina Williamson, Daniel Hussain, Rafiqul Coxhead, Jonathan Zhou, Peixun Hill, Rebecca M. Hicks, Debbie Rand, Vikki Joshi, Abhijit Schwalbe, Edward C. Bailey, Simon Clifford, Steven C. Acta Neuropathol Original Paper We reconstructed the natural history and temporal evolution of the most common childhood brain malignancy, medulloblastoma, by single-cell whole-genome sequencing (sc-WGS) of tumours representing its major molecular sub-classes and clinical risk groups. Favourable-risk disease sub-types assessed (MB(WNT) and infant desmoplastic/nodular MB(SHH)) typically comprised a single clone with no evidence of further evolution. In contrast, highest risk sub-classes (MYC-amplified MB(Group3) and TP53-mutated MB(SHH)) were most clonally diverse and displayed gradual evolutionary trajectories. Clinically adopted biomarkers (e.g. chromosome 6/17 aberrations; CTNNB1/TP53 mutations) were typically early-clonal/initiating events, exploitable as targets for early-disease detection; in analyses of spatially distinct tumour regions, a single biopsy was sufficient to assess their status. Importantly, sc-WGS revealed novel events which arise later and/or sub-clonally and more commonly display spatial diversity; their clinical significance and role in disease evolution post-diagnosis now require establishment. These findings reveal diverse modes of tumour initiation and evolution in the major medulloblastoma sub-classes, with pathogenic relevance and clinical potential. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00401-022-02464-x. Springer Berlin Heidelberg 2022-07-13 2022 /pmc/articles/PMC9381458/ /pubmed/35831448 http://dx.doi.org/10.1007/s00401-022-02464-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Danilenko, Marina Zaka, Masood Keeling, Claire Crosier, Stephen Lyman, Stephanie Finetti, Martina Williamson, Daniel Hussain, Rafiqul Coxhead, Jonathan Zhou, Peixun Hill, Rebecca M. Hicks, Debbie Rand, Vikki Joshi, Abhijit Schwalbe, Edward C. Bailey, Simon Clifford, Steven C. Single-cell DNA sequencing identifies risk-associated clonal complexity and evolutionary trajectories in childhood medulloblastoma development |
title | Single-cell DNA sequencing identifies risk-associated clonal complexity and evolutionary trajectories in childhood medulloblastoma development |
title_full | Single-cell DNA sequencing identifies risk-associated clonal complexity and evolutionary trajectories in childhood medulloblastoma development |
title_fullStr | Single-cell DNA sequencing identifies risk-associated clonal complexity and evolutionary trajectories in childhood medulloblastoma development |
title_full_unstemmed | Single-cell DNA sequencing identifies risk-associated clonal complexity and evolutionary trajectories in childhood medulloblastoma development |
title_short | Single-cell DNA sequencing identifies risk-associated clonal complexity and evolutionary trajectories in childhood medulloblastoma development |
title_sort | single-cell dna sequencing identifies risk-associated clonal complexity and evolutionary trajectories in childhood medulloblastoma development |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381458/ https://www.ncbi.nlm.nih.gov/pubmed/35831448 http://dx.doi.org/10.1007/s00401-022-02464-x |
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