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The early evolutionary landscape of osteosarcoma provides clues for targeted treatment strategies
Osteosarcomas are aggressive primary tumors of bone that are typically detected in locally advanced stages; however, which genetic mutations drive the cancer before its clinical detection remain unknown. To identify these events, we performed longitudinal genome‐sequencing analysis of 12 patients wi...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361660/ https://www.ncbi.nlm.nih.gov/pubmed/33963544 http://dx.doi.org/10.1002/path.5699 |
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author | Kovac, Michal Ameline, Baptiste Ribi, Sebastian Kovacova, Monika Cross, William Barenboim, Maxim Witt, Olaf Bielack, Stefan Krieg, Andreas Hartmann, Wolfgang Nathrath, Michaela Baumhoer, Daniel |
author_facet | Kovac, Michal Ameline, Baptiste Ribi, Sebastian Kovacova, Monika Cross, William Barenboim, Maxim Witt, Olaf Bielack, Stefan Krieg, Andreas Hartmann, Wolfgang Nathrath, Michaela Baumhoer, Daniel |
author_sort | Kovac, Michal |
collection | PubMed |
description | Osteosarcomas are aggressive primary tumors of bone that are typically detected in locally advanced stages; however, which genetic mutations drive the cancer before its clinical detection remain unknown. To identify these events, we performed longitudinal genome‐sequencing analysis of 12 patients with metastatic or refractory osteosarcoma. Phylogenetic and molecular clock analyses were carried out next to identify actionable mutations, and these were validated by integrating data from additional 153 osteosarcomas and pre‐existing functional evidence from mouse PDX models. We found that the earliest and thus clinically most promising mutations affect the cell cycle G1 transition, which is guarded by cyclins D3, E1, and cyclin‐dependent kinases 2, 4, and 6. Cell cycle G1 alterations originate no more than a year before the primary tumor is clinically detected and occur in >90% and 50% of patients of the discovery and validation cohorts, respectively. In comparison, other cancer driver mutations could be acquired at any evolutionary stage and often do not become pervasive. Consequently, our data support that the repertoire of actionable mutations present in every osteosarcoma cell is largely limited to cell cycle G1 mutations. Since they occur in mutually exclusive combinations favoring either CDK2 or CDK4/6 pathway activation, we propose a new genomically‐based algorithm to direct patients to correct clinical trial options. © 2021 The Authors. The Journal of Pathology published by John Wiley & Sons, Ltd. on behalf of The Pathological Society of Great Britain and Ireland. |
format | Online Article Text |
id | pubmed-8361660 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-83616602021-08-17 The early evolutionary landscape of osteosarcoma provides clues for targeted treatment strategies Kovac, Michal Ameline, Baptiste Ribi, Sebastian Kovacova, Monika Cross, William Barenboim, Maxim Witt, Olaf Bielack, Stefan Krieg, Andreas Hartmann, Wolfgang Nathrath, Michaela Baumhoer, Daniel J Pathol Original Papers Osteosarcomas are aggressive primary tumors of bone that are typically detected in locally advanced stages; however, which genetic mutations drive the cancer before its clinical detection remain unknown. To identify these events, we performed longitudinal genome‐sequencing analysis of 12 patients with metastatic or refractory osteosarcoma. Phylogenetic and molecular clock analyses were carried out next to identify actionable mutations, and these were validated by integrating data from additional 153 osteosarcomas and pre‐existing functional evidence from mouse PDX models. We found that the earliest and thus clinically most promising mutations affect the cell cycle G1 transition, which is guarded by cyclins D3, E1, and cyclin‐dependent kinases 2, 4, and 6. Cell cycle G1 alterations originate no more than a year before the primary tumor is clinically detected and occur in >90% and 50% of patients of the discovery and validation cohorts, respectively. In comparison, other cancer driver mutations could be acquired at any evolutionary stage and often do not become pervasive. Consequently, our data support that the repertoire of actionable mutations present in every osteosarcoma cell is largely limited to cell cycle G1 mutations. Since they occur in mutually exclusive combinations favoring either CDK2 or CDK4/6 pathway activation, we propose a new genomically‐based algorithm to direct patients to correct clinical trial options. © 2021 The Authors. The Journal of Pathology published by John Wiley & Sons, Ltd. on behalf of The Pathological Society of Great Britain and Ireland. John Wiley & Sons, Ltd 2021-05-25 2021-08 /pmc/articles/PMC8361660/ /pubmed/33963544 http://dx.doi.org/10.1002/path.5699 Text en © 2021 The Authors. The Journal of Pathology published by John Wiley & Sons, Ltd. on behalf of The Pathological Society of Great Britain and Ireland. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Papers Kovac, Michal Ameline, Baptiste Ribi, Sebastian Kovacova, Monika Cross, William Barenboim, Maxim Witt, Olaf Bielack, Stefan Krieg, Andreas Hartmann, Wolfgang Nathrath, Michaela Baumhoer, Daniel The early evolutionary landscape of osteosarcoma provides clues for targeted treatment strategies |
title | The early evolutionary landscape of osteosarcoma provides clues for targeted treatment strategies |
title_full | The early evolutionary landscape of osteosarcoma provides clues for targeted treatment strategies |
title_fullStr | The early evolutionary landscape of osteosarcoma provides clues for targeted treatment strategies |
title_full_unstemmed | The early evolutionary landscape of osteosarcoma provides clues for targeted treatment strategies |
title_short | The early evolutionary landscape of osteosarcoma provides clues for targeted treatment strategies |
title_sort | early evolutionary landscape of osteosarcoma provides clues for targeted treatment strategies |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361660/ https://www.ncbi.nlm.nih.gov/pubmed/33963544 http://dx.doi.org/10.1002/path.5699 |
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