Abstract

Mouse models of human cancer are valuable tools for cancer research. Although xenografts and genetically engineered models (GEMs) possess limitations as well as advantages, each system plays a significant role in preclinical testing. Tumor xenografts are easy to use, relatively inexpensive, and reproducible. The main drawback of xenografts is that the genetics and histology of the tumors are frequently not representative of the respective human tumor and, thus far, these models have not been as predictive of therapeutic success as one would like. By contrast, GEMs are histologically and genetically accurate models of human cancer but have disadvantages of heterogeneity with regard to frequency, latency, and growth. These disadvantages are reminiscent of the variable behavior of actual human tumors. Recently, these shortcomings have been partly overcome with the development of anatomic and molecular in vivo imaging techniques such as magnetic resonance imaging and bioluminescence imaging. These new technologies will hopefully support the use of GEMs in preclinical trials and help determine if trials in GEMs are more predicative than xenografts of human responses.

Highlights

  • Advances in molecular biology have significantly increased our understanding of the biology of cancer

  • We will focus on genetically engineered models (GEMs) and review some of the current genetic strategies for modeling cancer in the mouse and highlight some of the preclinical studies that have already been undertaken in GEMs

  • Evaluating new agents in human patients has many consequential theoretical limitations, including difficulties in studying drug combinations in phase 1 and 2 setting, as well as the fact that patients entered into these trials have refractory or relapsed disease

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Summary

Introduction

Advances in molecular biology have significantly increased our understanding of the biology of cancer. In this brief review we will discuss the advantages and disadvantages of xenografts and genetically engineered models (GEM) of cancer for preclinical studies. We will focus on GEMs and review some of the current genetic strategies for modeling cancer in the mouse and highlight some of the preclinical studies that have already been undertaken in GEMs. We will discuss how recent improved imaging technologies in mice promise to make preclinical testing in GEMs more attractive.

Results
Conclusion

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