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Patient-derived organoids (PDOs) offer a better model for cancer immunotherapy research than traditional methods. These complex tumor models accurately mimic the tumor immune microenvironment (TIME), improving preclinical testing and personalized treatment strategies.

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Area of Science:

  • Oncology
  • Immunology
  • Biomedical Engineering

Background:

  • Conventional in vivo and 2D in vitro cancer models fail to fully replicate the complex tumor immune microenvironment (TIME).
  • Accurate modeling of the TIME is crucial for evaluating cancer immunotherapies due to the involvement of the immune system.
  • Physiomimetic models are needed to better assess immunotherapy efficacy.

Purpose of the Study:

  • To discuss organoid culture approaches for modeling the tumor immune microenvironment (TIME).
  • To highlight the application of complex tumor organoids in testing cancer immunotherapeutics.
  • To explore the potential of organoids in personalized cancer immunotherapy.

Main Methods:

  • Review of various organoid culture techniques for TIME modeling.
  • Discussion on incorporating endogenous and exogenous components (immune cells, CAFs, vasculature) into organoid models.
  • Analysis of organoid platforms for preclinical immunotherapy testing.

Main Results:

  • Tumor organoid models can effectively recapitulate the TIME by preserving or incorporating diverse cellular and stromal components.
  • Organoid platforms demonstrate potential in modeling dynamic interactions within the TIME.
  • These models can facilitate the evaluation of immunotherapy responses.

Conclusions:

  • Patient-derived organoids (PDOs) provide a more accurate and physiomimetic model for studying the tumor immune microenvironment (TIME).
  • Organoid culture platforms are valuable tools for preclinical testing of cancer immunotherapeutics.
  • Complex tumor organoids hold promise for advancing personalized cancer immunotherapy.