We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Supervised risk predictor of breast cancer based on intrinsic subtypes.
- Authors
Parker, Joel S; Mullins, Michael; Cheang, Maggie C U; Leung, Samuel; Voduc, David; Vickery, Tammi; Davies, Sherri; Fauron, Christiane; He, Xiaping; Hu, Zhiyuan; Quackenbush, John F; Stijleman, Inge J; Palazzo, Juan; Marron, J S; Nobel, Andrew B; Mardis, Elaine; Nielsen, Torsten O; Ellis, Matthew J; Perou, Charles M; Bernard, Philip S
- Abstract
PURPOSE To improve on current standards for breast cancer prognosis and prediction of chemotherapy benefit by developing a risk model that incorporates the gene expression-based "intrinsic" subtypes luminal A, luminal B, HER2-enriched, and basal-like. METHODS A 50-gene subtype predictor was developed using microarray and quantitative reverse transcriptase polymerase chain reaction data from 189 prototype samples. Test sets from 761 patients (no systemic therapy) were evaluated for prognosis, and 133 patients were evaluated for prediction of pathologic complete response (pCR) to a taxane and anthracycline regimen.
- Publication
Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2009, Vol 27, Issue 8, p1160
- ISSN
1527-7755
- Publication type
Journal Article
- DOI
10.1200/JCO.2008.18.1370