The early evolutionary landscape of osteosarcoma provides clues for targeted treatment strategies

Michal Kovac, Baptiste Ameline, Sebastian Ribi, Monika Kovacova, William Cross, Maxim Barenboim, Olaf Witt, Stefan Bielack, Andreas Krieg, Wolfgang Hartmann, Michaela Nathrath and Daniel Baumhoer 2021. The early evolutionary landscape of osteosarcoma provides clues for targeted treatment strategies. The Journal of Pathology. 254 (5), pp. 556-566. https://doi.org/10.1002/path.5699

TitleThe early evolutionary landscape of osteosarcoma provides clues for targeted treatment strategies
TypeJournal article
AuthorsMichal Kovac, Baptiste Ameline, Sebastian Ribi, Monika Kovacova, William Cross, Maxim Barenboim, Olaf Witt, Stefan Bielack, Andreas Krieg, Wolfgang Hartmann, Michaela Nathrath and Daniel Baumhoer
Abstract

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.

JournalThe Journal of Pathology
Journal citation254 (5), pp. 556-566
ISSN0022-3417
1096-9896
Year2021
PublisherPathological Society
Publisher's version
License
CC BY 4.0
File Access Level
Open (open metadata and files)
Digital Object Identifier (DOI)https://doi.org/10.1002/path.5699
Web address (URL)http://dx.doi.org/10.1002/path.5699
Publication dates
PublishedAug 2021
Published online25 May 2021

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