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Predictive In Vivo Models for Oncology

  • Diana BehrensEmail author
  • Jana Rolff
  • Jens Hoffmann
Part of the Handbook of Experimental Pharmacology book series (HEP, volume 232)

Abstract

Experimental oncology research and preclinical drug development both substantially require specific, clinically relevant in vitro and in vivo tumor models. The increasing knowledge about the heterogeneity of cancer requested a substantial restructuring of the test systems for the different stages of development. To be able to cope with the complexity of the disease, larger panels of patient-derived tumor models have to be implemented and extensively characterized. Together with individual genetically engineered tumor models and supported by core functions for expression profiling and data analysis, an integrated discovery process has been generated for predictive and personalized drug development.

Improved “humanized” mouse models should help to overcome current limitations given by xenogeneic barrier between humans and mice. Establishment of a functional human immune system and a corresponding human microenvironment in laboratory animals will strongly support further research.

Drug discovery, systems biology, and translational research are moving closer together to address all the new hallmarks of cancer, increase the success rate of drug development, and increase the predictive value of preclinical models.

Keywords

Mouse models Patient-derived xenograft (PDX) Preclinical oncology Translational research 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.EPO – Experimental Pharmacology and Oncology – GmbHBerlinGermany

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