Clinical Cancer Research · 2013 · 733 citations · 21 references
MedicineCancer BiologyOncologyBreast OncologyChemotherapyMolecular OncologyCancer Survival AnalysisCancer TranscriptomicsMolecular Tumor ProfilingNeoadjuvant ChemotherapyTherapy Response AssessmentTranscriptomic ProfilingBreast Cancer Molecular SubtypesBreast Cancer Response AssessmentChemotherapy Response AssessmentComplete Response AssessmentDifferential Treatment ResponseDisease Subtype ClassificationResidual Cancer BurdenTissue Microarrays
PURPOSE: The clinical relevancy of the 7-subtype classification of triple-negative breast cancer (TNBC) reported by Lehmann and colleagues is unknown. We investigated the clinical relevancy of TNBC heterogeneity by determining pathologic complete response (pCR) rates after neoadjuvant chemotherapy, based on TNBC subtypes. EXPERIMENTAL DESIGN: We revalidated the Lehmann and colleagues experiments using Affymetrix CEL files from public datasets. We applied these methods to 146 patients with TNBC with gene expression microarrays obtained from June 2000 to March 2010 at our institution. Of those, 130 had received standard neoadjuvant chemotherapy and had evaluable pathologic response data. We classified the TNBC samples by subtype and then correlated subtype and pCR status using Fisher exact test and a logistic regression model. We also assessed survival and compared the subtypes with PAM50 intrinsic subtypes and residual cancer burden (RCB) index. RESULTS: TNBC subtype and pCR status were significantly associated (P = 0.04379). The basal-like 1 (BL1) subtype had the highest pCR rate (52%); basal-like 2 (BL2) and luminal androgen receptor had the lowest (0% and 10%, respectively). TNBC subtype was an independent predictor of pCR status (P = 0.022) by a likelihood ratio test. The subtypes better predicted pCR status than did the PAM50 intrinsic subtypes (basal-like vs. non basal-like). CONCLUSIONS: Classifying TNBC by 7 subtypes predicts high versus low pCR rate. We confirm the clinical relevancy of the 7 subtypes of TNBC. We need to prospectively validate whether the pCR rate differences translate into long-term outcome differences. The 7-subtype classification may spur innovative personalized medicine strategies for patients with TNBC.
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Summaries of Affymetrix GeneChip probe level data
Rafael A. Irizarry · Nucleic Acids Research · 2003 · 5K citations · Full text
Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes
Joel S. Parker, Michael E. Mullins, Maggie C.U. Cheang et al. · Journal of Clinical Oncology · 2009 · 4.9K citations · Full text
Medicine, Bioinformatics, Oncology +16