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Updated: Jul 25, 2025

Author Spotlight: Replicating Human Osteosarcoma Progression in Immunodeficient Mice for Cancer Study
Published on: March 22, 2024
Longitudinal characterization of primary osteosarcoma and derived subcutaneous and orthotopic relapsed
Maria Eugenia Marques da Costa1,2, Robin Droit1, Pierre Khneisser3
1INSERM U1015, Université Paris-Saclay, Villejuif, France.
Abstract:
Osteosarcoma is a rare bone cancer in adolescents and young adults with a dismal prognosis because of metastatic disease and chemoresistance. Despite multiple clinical trials, no improvement in outcome has occurred in decades. There is an urgent need to better understand resistant and metastatic disease and to generate in vivo models from relapsed tumors. We developed eight new patient-derived xenograft (PDX) subcutaneous and orthotopic/paratibial models derived from patients with recurrent osteosarcoma and compared the genetic and transcriptomic landscapes of the disease progression at diagnosis and relapse with the matching PDX. Whole exome sequencing showed that driver and copy-number alterations are conserved from diagnosis to relapse, with the emergence of somatic alterations of genes mostly involved in DNA repair, cell cycle checkpoints, and chromosome organization. All PDX patients conserve most of the genetic alterations identified at relapse. At the transcriptomic level, tumor cells maintain their ossification, chondrocytic, and trans-differentiation programs during progression and implantation in PDX models, as identified at the radiological and histological levels. A more complex phenotype, like the interaction with immune cells and osteoclasts or cancer testis antigen expression, seemed conserved and was hardly identifiable by histology. Despite NSG mouse immunodeficiency, four of the PDX models partially reconstructed the vascular and immune-microenvironment observed in patients, among which the macrophagic TREM2/TYROBP axis expression, recently linked to immunosuppression. Our multimodal analysis of osteosarcoma progression and PDX models is a valuable resource to understand resistance and metastatic spread mechanisms, as well as for the exploration of novel therapeutic strategies for advanced osteosarcoma.
Insights
New patient-derived xenograft (PDX) models of osteosarcoma reveal conserved genetic alterations and complex phenotypes from diagnosis to relapse. These models offer valuable insights into chemoresistance and metastasis for developing novel therapies.
Area of Science:
- Oncology
- Genetics
- Cancer Biology
Background:
- Osteosarcoma, a rare bone cancer in young individuals, has a poor prognosis due to metastasis and chemoresistance.
- Decades of clinical trials have failed to improve outcomes, highlighting the need for better models of resistant and metastatic disease.
Purpose of the Study:
- To develop and characterize patient-derived xenograft (PDX) models from recurrent osteosarcoma.
- To compare the genetic and transcriptomic landscapes of osteosarcoma progression from diagnosis to relapse using PDX models.
Main Methods:
- Development of eight new subcutaneous and orthotopic/paratibial PDX models from recurrent osteosarcoma patients.
- Whole exome sequencing and transcriptomic analysis of patient tumors at diagnosis and relapse, and their corresponding PDX models.
- Histological and radiological evaluation of PDX models to assess phenotype and microenvironment reconstruction.
Main Results:
- Driver and copy-number alterations were conserved from diagnosis to relapse, with new somatic alterations in DNA repair and cell cycle genes.
- PDX models retained key osteosarcoma phenotypes, including ossification and chondrocytic programs.
- Four PDX models partially reconstructed the patient vascular and immune microenvironment, including immunosuppressive macrophagic axis (TREM2/TYROBP).
Conclusions:
- Osteosarcoma PDX models are valuable for studying resistance and metastatic mechanisms.
- These models facilitate the exploration of novel therapeutic strategies for advanced osteosarcoma.
- Multimodal analysis provides insights into conserved complex phenotypes and microenvironmental interactions in osteosarcoma progression.

