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Mouse Xenograft Models for Drug Discovery in Pancreatic Cancer

  • Belen Rubio-Viqueira
  • Manuel Hidalgo
Chapter

Abstract

It is estimated that the development of a new anticancer agent costs US $800–1,000 million and takes over a decade between conception and approval. However, 90% of novel antineoplastic drugs fail in the clinic despite evidence of antitumor efficacy in classical preclinical models. This raises serious concerns whether such models are predictive of drug efficacy in humans, supporting the development of alternative approaches. Furthermore, a general transition has been observed from the empirical drug screening of cytotoxic agents against uncharacterized tumor models to target-orientated drug screening of agents with defined mechanisms of action. New approaches to anticancer drug development involve the molecular characterization of models along with an appreciation of the pharmacodynamic and pharmacokinetic properties of the tested drug. This chapter focuses on the classical and new preclinical screening models and techniques for anticancer drug development.

Keywords

Pancreatic Cancer Xenograft Model Antitumor Efficacy Human Tumor Xenograft Humanize Mouse 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.The Sidney Kimmel Comprehensive Cancer CenterThe Johns Hopkins University School of MedicineBaltimoreUSA

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