Spontaneous and genetically engineered animal models; use in preclinical cancer drug development

K Hansen1, C Khanna

  • 1Comparative Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.

European Journal of Cancer (Oxford, England : 1990)
|May 4, 2004
PubMed

Insights

This review explores spontaneous cancer models, including genetically engineered mice and pet animals, as alternatives to traditional transplantation methods for preclinical anticancer drug development, highlighting their strengths and weaknesses.

Area of Science:

  • Oncology
  • Comparative Medicine
  • Drug Development

Background:

  • Traditional preclinical anticancer drug development relies heavily on transplanted cancer models in mice.
  • These models often fail to fully recapitulate human cancer complexity and progression.
  • There is a need for more relevant preclinical models to improve drug efficacy and translation.

Purpose of the Study:

  • To review the utility and integration of spontaneous cancer models in preclinical anticancer drug development.
  • To compare genetically engineered mouse models and naturally occurring cancers in pet animals.
  • To provide examples and assess the relative strengths and weaknesses of these models.

Main Methods:

  • Literature review of spontaneous cancer models in mice and companion animals.
  • Analysis of case studies demonstrating successful application in drug development.
  • Comparative assessment of model systems based on biological relevance and predictive value.

Main Results:

  • Genetically engineered mouse models offer controlled genetic alterations leading to cancer.
  • Naturally occurring cancers in pet dogs and cats exhibit remarkable similarities to human cancers.
  • Spontaneous models provide a more comprehensive platform for evaluating drug efficacy and toxicity.

Conclusions:

  • Spontaneous cancer models, both engineered and naturally occurring, represent valuable alternatives to transplantation models.
  • Integrating these models into preclinical research can enhance the development of effective anticancer therapies.
  • Further research and validation of spontaneous models are crucial for advancing oncology drug discovery.