Evidence map›Paper›PMID 33963544›Full record

ArticleThe Journal of pathology2021

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 and 2 more

Abstract read
In one paragraph

Article in The Journal of pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Biological Sample Collection to Advance Research and Treatment: A Fight Osteosarcoma Through European Research and Euro Ewing Consortium Statement.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Michal Kovac *Bone Tumor Reference Centre, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland.
Baptiste Ameline *Bone Tumor Reference Centre, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland.ORCID 0000-0001-5913-7413
Sebastian Ribi *Bone Tumor Reference Centre, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland.
Monika KovacovaFaculty of Informatics and Information Technologies, Slovak University of Technology, Bratislava, Slovakia.
William CrossEvolution and Cancer Laboratory, Barts Cancer Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, Barbican, London, UK.
Maxim BarenboimDepartment of Pediatrics and Children's Cancer Research Center, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany.
Olaf WittHopp Children's Cancer Center Heidelberg, German Cancer Research Center and University Hospital Heidelberg, Heidelberg, Germany.
Stefan BielackKlinikum Stuttgart - Olgahospital, Stuttgart Cancer Center, Stuttgart, Germany.
Andreas KriegPaediatric Orthopaedic Department, University Children's Hospital Basel, Basel, Switzerland.
Wolfgang HartmannDivision of Translational Pathology, Gerhard-Domagk-Institut of Pathology, University Hospital Münster, Münster, Germany.ORCID 0000-0002-7609-5021
Michaela NathrathDepartment of Pediatric Oncology, Klinikum Kassel, Kassel, Germany.
Daniel BaumhoerBone Tumor Reference Centre, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland.ORCID 0000-0002-2137-7507

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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. © 2021 The Authors. The Journal of Pathology published by John Wiley & Sons, Ltd. on behalf of The Pathological Society of Great Britain and Ireland.

Indexed as

AlgorithmsBiomarkers, TumorBone NeoplasmsG1 Phase Cell Cycle CheckpointsHumansMutationOsteosarcomaPhylogenyBiomarkers, TumorBRCAnesscyclin-dependent kinase inhibitorscyclinsmolecular diagnosticsosteosarcomaPARP inhibitorspersonalized medicinetargeted therapies

Identifiers

PMID33963544
PMCPMC8361660

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.