Abstract
In this issue of Clinical Cancer Research, Andre et al. apply high-resolution arrays to elucidate copy number anomalies in breast cancer. They identify distinct copy number anomaly patterns in different breast cancer subtypes that implicate a number of genes as potential therapeutic targets and as potential markers of therapy responsiveness.
MeSH terms
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Algorithms
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Biomarkers, Tumor / metabolism
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Breast Neoplasms / diagnosis*
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Breast Neoplasms / pathology*
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Computational Biology / methods
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Gene Expression Profiling
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Humans
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Medical Oncology / methods
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Models, Biological
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Nucleic Acid Hybridization
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Oligonucleotide Array Sequence Analysis
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Phosphatidylinositol 3-Kinases / metabolism
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Proteomics / methods
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Systems Biology
Substances
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Biomarkers, Tumor
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Phosphatidylinositol 3-Kinases