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.

Frontiers in Oncology
|June 28, 2023
PubMed

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.

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