A systems approach to analysis of molecular complexity in breast cancer.
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.
Hennessy
Bryan T
BT
Department of Systems Biology and the Kleberg Center for Molecular Markers, M. D. Anderson Cancer Center, Houston, Texas 77030, USA. bhennessy@mdanderson.org
Gonzalez-Angulo
Ana Maria
AM
Carey
Mark S
MS
Mills
Gordon B
GB
D000465:Algorithms; D014408:Biomarkers, Tumor / Q000378:metabolism; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000473:pathology*; D019295:Computational Biology / Q000379:methods; D020869:Gene Expression Profiling; D006801:Humans; D008495:Medical Oncology / Q000379:methods; D008954:Models, Biological; D009693:Nucleic Acid Hybridization; D020411:Oligonucleotide Array Sequence Analysis; D019869:Phosphatidylinositol 3-Kinases / Q000378:metabolism; D040901:Proteomics / Q000379:methods; D049490:Systems Biology
D014408:Biomarkers, Tumor; D019869:Phosphatidylinositol 3-Kinases