Abstract

The application of high-throughput genomic technologies has revealed that individual breast tumors display a variety of molecular features that require more personalized approaches to treatment. Several recent studies have demonstrated that a cross-species analytic approach provides a powerful means to filter through genetic complexity by identifying evolutionarily conserved genetic networks that are fundamental to the oncogenic process. Mouse-human tumor comparisons will provide insights into cellular origins of tumor subtypes, define interactive oncogenetic networks, identify potential novel therapeutic targets, and further validate as well as guide the selection of genetically engineered mouse models for preclinical testing.

Highlights

  • Within the past decade, high-throughput genomic technologies have revolutionized the study of breast cancer

  • One approach to improving the discovery of important genetic networks involved in cancer development and progression has been to use relevant genetically engineered mouse (GEM) models of mammary cancer in mouse-human comparisons to identify evolutionarily conserved genetic alterations shared in tumorigenesis in the two species

  • This review will focus on how cross-species comparisons of gene expression, genome copy number changes, and bioinformatic analyses have improved our understanding of how particular mammary cancer models represent specific subtypes of human breast cancer

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Summary

Introduction

High-throughput genomic technologies have revolutionized the study of breast cancer. This review will focus on how cross-species comparisons of gene expression, genome copy number changes, and bioinformatic analyses have improved our understanding of how particular mammary cancer models represent specific subtypes of human breast cancer.

Results
Conclusion
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