Cancer Research · 2005 · 334 citations · 18 references
MedicineCancer BiologyOncologyBreast OncologyMetastasisMolecular OncologyCancer BiomarkersCancer GenomicsCancer TranscriptomicsMalignant NeoplasmsMolecular Tumor ProfilingTranscriptomic ProfilingBreast Cancer Molecular SubtypesImmunohistochemical BiomarkersLuminal CellsLuminal Epithelial CellsMicroarray AnalysisPrognostic Expression SignaturesPrognostic Marker AssessmentTissue Microarray Analysis
GATA binding protein 3 (GATA3) is a transcriptional activator highly expressed by the luminal epithelial cells in the breast. Here we did a meta-analysis of the available breast cancer cDNA data sets on a cohort of 305 patients and found that GATA3 was one of the top genes with low expression in invasive carcinomas with poor clinical outcome. To validate its prognostic utility, we did a tissue microarray analysis on a cohort of 139 consecutive invasive carcinomas (n = 417 tissue samples) immunostained with a monoclonal antibody against GATA3. Low GATA3 expression was associated with higher histologic grade (P < 0.001), positive nodes (P = 0.002), larger tumor size (P = 0.03), negative estrogen receptor and progesterone receptor (P < 0.001 for both), and HER2-neu overexpression (P = 0.03). Patients whose tumors expressed low GATA3 had significantly shorter overall and disease-free survival when compared with those whose tumors had high GATA3 levels. The hazard ratio of metastasis or recurrence according to the GATA3 status was 0.31 (95% confidence interval, 0.13-0.74; P = 0.009). Cox multivariate analysis showed that GATA3 had independent prognostic significance above and beyond conventional variables. Our data suggest that immunohistochemical analysis of GATA3 may be the basis for a new clinically applicable test to predict tumor recurrence early in the progression of breast cancer.
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Molecular portraits of human breast tumours
Charles M. Perou, Thérese Sørlie, Michael B. Eisen et al. · Nature · 2000 · 16.3K citations
Gene expression profiling predicts clinical outcome of breast cancer
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A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
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Medicine, Bioinformatics, Oncology +17