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Cancer Research 69, 310, January 1, 2009. doi: 10.1158/0008-5472.CAN-08-3520
© 2009 American Association for Cancer Research

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Systems Biology and Emerging Technologies

The Origins of Breast Cancer Prognostic Gene Expression Profiles

Luanne Lukes, Nigel P.S. Crawford, Renard Walker and Kent W. Hunter

Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland

Requests for reprints: Kent W. Hunter, Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, NIH, Building 37, Room 5046C, 37 Convent Drive, Bethesda, MD 20892-4264. Phone: 301-435-8957; Fax: 301-480-2772; E-mail: hunterk{at}mail.nih.gov.

Key Words: breast cancer • gene expression • mouse models

Recent high profile clinical trials show that microarray-based gene expression profiling has the potential to become an important tool for predicting prognosis in breast cancer. Earlier work in our laboratory using mouse models and human breast cancer populations has enabled us to show that metastasis susceptibility is an inherited trait. This same combined approach facilitated the identification of a number of candidate genes that, when dysregulated, have the potential to induce prognostic gene expression profiles in human data sets. To investigate if these gene expression signatures were of somatic or germline origin and to assess the contribution of different cell types to the induction of these signatures, we have performed a series of expression profiling experiments in a mouse model of metastatic breast cancer. These results show that both the tumor epithelium and invading stromal tissues contribute to the development of prognostic gene signatures. Furthermore, analysis of normal tissues and tumor transplants suggests that prognostic signatures result from both somatic and inherited components, with the inherited components being more consistently predictive. [Cancer Res 2009;69(1):310–8]




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Annual Meeting Education Book Meeting Abstracts Online
Copyright © 2009 by the American Association for Cancer Research.