Experimental animal modeling for immuno-oncology

Qi-Xiang Li1, Gerold Feuer2, Xuesong Ouyang3

  • 1Crown Bioscience Inc., 3375 Scott Blvd, Suite 108, Santa Clara, CA 95054, USA; State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, China.

Insights

Developing relevant animal models is crucial for advancing immuno-oncology (I/O) therapies. This review explores various I/O preclinical models, addressing key challenges in cancer immunotherapy drug discovery and patient response.

Area of Science:

  • Oncology
  • Immunology
  • Pharmacology

Background:

  • Immuno-oncology (I/O) has seen rapid advancements with immune checkpoint inhibitors.
  • Significant questions remain regarding patient response variability and optimization.
  • Effective preclinical models are essential for addressing these I/O challenges.

Purpose of the Study:

  • To review the development of diverse preclinical animal models for I/O research.
  • To discuss the applications and limitations of current I/O models.
  • To provide an introductory overview for researchers new to the field, especially in the pharmaceutical industry.

Main Methods:

  • Comprehensive literature review of existing immuno-oncology animal models.
  • Analysis of model systems used in I/O drug discovery.
  • Evaluation of model relevance for predicting clinical response.

Main Results:

  • Identification of various preclinical models utilized in I/O research.
  • Discussion of the strengths and weaknesses of different model systems.
  • Highlighting the unmet need for more predictive I/O models.

Conclusions:

  • A critical need exists for improved and relevant animal models in I/O drug discovery.
  • Understanding model limitations is key to advancing novel cancer immunotherapies.
  • This review serves as a guide to selecting and utilizing appropriate I/O preclinical models.