Human xenograft osteosarcoma models with spontaneous metastasis in mice: clinical relevance and applicability for

Crispin R Dass1, Eugene T H Ek, Peter F M Choong

  • 1Department of Orthopaedics, University of Melbourne, St. Vincent's Hospital, Fitzroy, VIC 3065, Australia. crispin.dass@svhm.org.au

Insights

Developing accurate osteosarcoma models is crucial for advancing research. This review examines existing models using patient-derived cells to improve understanding and treatment of this bone cancer.

Area of Science:

  • Oncology
  • Orthopedic Surgery
  • Cancer Research

Background:

  • Osteosarcoma is a primary bone tumor and a leading cause of cancer death in children and adolescents.
  • Current research models often fail to accurately replicate the clinical progression of osteosarcoma.
  • There is a critical need for improved preclinical models to facilitate the development of effective treatments.

Purpose of the Study:

  • To review existing models for osteosarcoma research that utilize patient-derived cells.
  • To assess the suitability of current models for emulating the clinical progression of osteosarcoma.
  • To highlight the importance of robust models for advancing osteosarcoma research and drug development.

Main Methods:

  • Systematic review of literature on osteosarcoma models.
  • Analysis of studies employing orthotopic implantation of human osteosarcoma cells.
  • Evaluation of model fidelity in mimicking disease progression and patient demographics.

Main Results:

  • A significant gap exists in validated orthotopic models that closely mimic human osteosarcoma progression.
  • Various models using patient-derived osteosarcoma cells have been developed, but their clinical relevance varies.
  • The review categorizes available models and the types of research conducted with them.

Conclusions:

  • Improved preclinical models are essential for accelerating the discovery of novel anti-osteosarcoma agents.
  • Further development of patient-derived orthotopic models is needed to better predict treatment efficacy.
  • Robust research and development (R&D) hinges on the availability of clinically relevant osteosarcoma models.