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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.
Affiliation
  • Kovac M; Bone Tumor Reference Centre, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Ameline B; Faculty of Informatics and Information Technologies, Slovak University of Technology, Bratislava, Slovakia.
  • Ribi S; Bone Tumor Reference Centre, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Kovacova M; Bone Tumor Reference Centre, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Cross W; Faculty of Informatics and Information Technologies, Slovak University of Technology, Bratislava, Slovakia.
  • Barenboim M; Evolution and Cancer Laboratory, Barts Cancer Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, Barbican, London, UK.
  • Witt O; Department of Pediatrics and Children's Cancer Research Center, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany.
  • Bielack S; Hopp Children's Cancer Center Heidelberg, German Cancer Research Center and University Hospital Heidelberg, Heidelberg, Germany.
  • Krieg A; Klinikum Stuttgart - Olgahospital, Stuttgart Cancer Center, Stuttgart, Germany.
  • Hartmann W; Paediatric Orthopaedic Department, University Children's Hospital Basel, Basel, Switzerland.
  • Nathrath M; Division of Translational Pathology, Gerhard-Domagk-Institut of Pathology, University Hospital Münster, Münster, Germany.
  • Baumhoer D; Department of Pediatric Oncology, Klinikum Kassel, Kassel, Germany.
J Pathol ; 254(5): 556-566, 2021 08.
Article in En | MEDLINE | ID: mdl-33963544
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bone Neoplasms / Algorithms / Biomarkers, Tumor / Osteosarcoma / G1 Phase Cell Cycle Checkpoints Type of study: Clinical_trials Limits: Humans Language: En Journal: J Pathol Year: 2021 Type: Article Affiliation country: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bone Neoplasms / Algorithms / Biomarkers, Tumor / Osteosarcoma / G1 Phase Cell Cycle Checkpoints Type of study: Clinical_trials Limits: Humans Language: En Journal: J Pathol Year: 2021 Type: Article Affiliation country: Switzerland