Applied Biosystems
Distinct molecular phenotypes identified for subtypes of early breast cancer
Introduction: Gene expression profiling can define molecular phenotypes of disease. Luminal A and basal-like breast tumor subtypes, for example, show distinct gene expression patterns and clinical outcomes.
Methods: Expression data from 20 biopsies were generated on three platforms: Applied Biosystems Human Genome Survey Microarrays, Stanford cDNA Microarrays, and Agilent Whole Human Genome Oligo Microarrays. Prognostic predictor genes were identified by combining the three data sets, and were verified using TaqMan® Gene Expression Assays.
Results: All platforms showed different molecular phenotypes for luminal A and basal-like breast tumors. The luminal A signature overrepresented fatty acid metabolism and steroid-hormone mediated signaling. The basal-like signature overrepresented cell proliferation and differentiation, the p21-mediated pathway, and the G1-S checkpoint. 54 prognostic predictor genes were identified.
Discussion: Signature genes revealed that distinct mechanisms might operate in different breast cancer subtypes. Such information may help improve therapeutic strategies.
Address correspondence to Yulie Wang: wangyy@appliedbiosystems.com
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