Preclinical models for development of immune-oncology therapies

Yufei Wang1, Sarah E Shelton2, Gabriella Kastrunes3

  • 1Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA and Harvard Medical School, Boston, MA 02115, USA.

Immuno-Oncology Insights
|May 3, 2023
PubMed

Insights

Developing novel immune-oncology (I-O) therapies requires careful selection of preclinical models. This review examines in vitro, 3D, and in vivo models to guide I-O drug development and clinical translation.

Area of Science:

  • Preclinical research
  • Drug development
  • Immunotherapy

Background:

  • Immunotherapy has shown significant success in cancer treatment.
  • Developing novel immune-oncology (I-O) therapies requires robust preclinical models.
  • Existing models have limitations impacting translation to clinical settings.

Purpose of the Study:

  • To review and analyze various preclinical models for I-O therapy development.
  • To highlight the strengths and weaknesses of different model systems.
  • To guide scientists in selecting appropriate tools for efficient drug development.

Main Methods:

  • Review of in vitro cell lines and 3D cultures.
  • Analysis of in vivo mouse models (syngeneic, xenograft, humanized).
  • Comparison of model systems for recapitulating biological complexity and drug efficacy.

Main Results:

  • In vitro models offer high throughput but require careful design.
  • 3D in vitro and ex vivo models provide more complex, tissue-like environments.
  • In vivo models like syngeneic, xenograft, and humanized mice are crucial but have limitations in human physiological fidelity.

Conclusions:

  • A combination of diverse preclinical models is essential for successful I-O therapy development.
  • Thoughtful selection and integration of models accelerate the transition from preclinical evaluation to clinical trials.
  • Optimizing preclinical model selection is key to advancing novel immune-oncology treatments.

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