Engineering Novel 3D Models to Recreate High-Grade Osteosarcoma and its Immune and Extracellular Matrix

Marina Pierrevelcin1, Vincent Flacher2, Christopher G Mueller2

  • 1UMR CNRS 7021, Laboratory of Biomaging and Pathologies, Faculté de Pharmacie, 74 route du Rhin, Illkirch, 67405, France.

Insights

Developing advanced preclinical models for osteosarcoma (OS) is crucial for drug discovery. This study engineered 3D models that replicate tumor heterogeneity and the immune microenvironment, improving personalized medicine for resistant bone cancer.

Area of Science:

  • Biomedical Engineering
  • Oncology
  • Cancer Research

Background:

  • Osteosarcoma (OS) is a primary bone cancer with poor survival rates, especially in resistant cases.
  • Current preclinical models lack accuracy due to insufficient representation of tumor heterogeneity and microenvironment.
  • Developing better models is essential for effective OS drug development and personalized medicine.

Purpose of the Study:

  • To bioengineer patient-derived 3D models that mimic osteosarcoma (OS) heterogeneity.
  • To incorporate interactions with tumor-associated macrophages (TAMs) and varying oxygen concentrations.
  • To create a more accurate preclinical platform for OS drug testing and understanding tumor biology.

Main Methods:

  • Developed 2D and subsequently 3D preclinical models using patient-derived osteosarcoma cells.
  • Incorporated tumor-associated macrophages (M2-like) and modulated oxygen levels (hypoxia).
  • Recreated bone scaffold and assessed model fidelity in preserving histological and biological characteristics.

Main Results:

  • Successfully generated 2D and 3D models that replicate OS heterogeneity and TAM interactions.
  • Demonstrated reproducible M2-like macrophage co-culture with OS cell lines in both dimensions.
  • The 3D models provided accurate data on proliferation and migration, reflecting in vivo conditions.

Conclusions:

  • Engineered 3D osteosarcoma models accurately reflect tumor heterogeneity and immune microenvironment interactions.
  • These advanced preclinical systems offer improved insights into OS mechanisms and cell-biomatrix interactions.
  • The developed models hold significant potential for advancing personalized medicine in osteosarcoma treatment.

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