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Expression Profiling of Mouse Models of Human Cancer: Model Categorization and Guidance for Preclinical Testing

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Genetically Engineered Mice for Cancer Research

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Abstract

Recent advances in the use of gene expression microarray technologies have been invaluable in deciphering molecular subtypes of human cancers as a first step toward “personalized medicine.” Similarly, high-throughput genomic approaches have revealed mechanisms of oncogenesis in genetically engineered mouse (GEM) cancer models, how cancer evolves, and in what ways these models recapitulate molecular features of human cancers. Sophisticated analyses and cross-species comparisons provide important ways to identify potentially novel therapeutic targets. This chapter reviews the recent progress in the application of gene expression profiling to GEM models representing a variety of human cancers, including breast, prostate, lung, liver, and colon cancers.

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Acknowledgments

This research was supported by the Intramural Research Program of the NIH, Center for Cancer Research, National Cancer Institute.

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Authors and Affiliations

  1. Transgenic Oncogenesis and Genomics Section, Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA

    Min Zhu & Aleksandra M. Michalowski

  2. Transgenic Oncogenesis and Genomics Section, Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Building 37, Room 4054, 37 Convent Drive, Bethesda, MD, 20892, USA

    Jeffrey E. Green

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  1. Min Zhu
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  2. Aleksandra M. Michalowski
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  3. Jeffrey E. Green
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Correspondence to Jeffrey E. Green .

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  1. , Laboratory Of Cancer Biology and Genetic, National Cancer Institute, Convent Dr. 37, Bethesda, 20892, Maryland, USA

    Jeffrey E. Green

  2. National Cancer Institute, Center for Cancer Research, National Institutes of Health, South Drive 50, Bethesda, 20892, Maryland, USA

    Thomas Ried

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Zhu, M., Michalowski, A.M., Green, J.E. (2012). Expression Profiling of Mouse Models of Human Cancer: Model Categorization and Guidance for Preclinical Testing. In: Green, J., Ried, T. (eds) Genetically Engineered Mice for Cancer Research. Springer, New York, NY. https://doi.org/10.1007/978-0-387-69805-2_10

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