Contemporary pre-clinical development of anticancer agents--what are the optimal preclinical models?

Giovanna Damia1, Maurizio D'Incalci

  • 1Department of Oncology, Istituto di Ricerche Farmacologiche Mario Negri, Via La Masa 19, Milan 20157, Italy. giovanna.damia@marionegri.it

European Journal of Cancer (Oxford, England : 1990)
|September 19, 2009
PubMed

Insights

Selecting effective anticancer drugs relies on preclinical models that mimic cancer complexity. While xenografts offer reproducibility, integrating diverse expertise is crucial for predicting clinical success.

Area of Science:

  • Oncology
  • Pharmacology
  • Drug Discovery

Background:

  • Identifying novel anticancer drugs requires effective preclinical models to predict clinical efficacy.
  • Hundreds of new molecules targeting cancer pathways necessitate robust experimental systems for evaluation.

Purpose of the Study:

  • To review current in vitro and in vivo preclinical systems for testing anticancer compounds.
  • To discuss the utility and limitations of various experimental models in drug development.

Main Methods:

  • Overview of in vitro and in vivo preclinical models used in anticancer drug development.
  • Examination of xenograft and genetic models for drug efficacy and target validation.
  • Discussion of integrating multidisciplinary expertise for successful drug development.

Main Results:

  • Xenografts are widely used in vivo models due to reproducibility and retention of human tumor properties.
  • Genetic models are valuable for target validation but may lack reproducibility for drug evaluation.
  • The effectiveness of preclinical models is contingent on integrating biology, chemistry, pharmacology, toxicology, and clinical oncology.

Conclusions:

  • Preclinical models are essential for anticancer drug discovery, but predicting clinical efficacy remains challenging.
  • A multidisciplinary approach is vital to address the complexity of cancer and drug pharmacology for successful clinical translation.

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