Biomarker Insights · 2015 · 35 citations · 46 references
MedicineMolecular GeneticsOncologyGene ExpressionGene Expression AnalysisMolecular OncologyCancer BiomarkersCancer Survival AnalysisCancer TranscriptomicsEndocrine Tumor PrognosisExpression Signature DiscoveryMolecular Tumor ProfilingBreast Cancer PrognosisEstrogen Receptor StatusGene Expression SignaturesHormone Receptor - Positive Breast CancerPrognostic Expression SignaturesPrognostic Gene Expression ProfilingPrognostic Gene SignaturesPrognostic Prediction
The objective of the present study was to validate prognostic gene signature for estrogen receptor alpha-positive (ER03B1+) and lymph node (+) breast cancer for improved selection of patients for adjuvant therapy. In our previous study, we identified a group of seven genes (GATA3, NTN4, SLC7A8, ENPP1, MLPH, LAMB2, and PLAT) that show elevated messenger RNA (mRNA) expression levels in ERα (+) breast cancer patient samples. The prognostic values of these genes were evaluated using gene expression data from three public data sets of breast cancer patients (n = 395). Analysis of ERα (+) breast cancer cohort (n = 195) showed high expression of GATA3, NTN4, and MLPH genes significantly associated with longer relapse-free survival (RFS). Next cohort of ERα (+) and node (+) samples (n = 109) revealed high mRNA expression of GATA3, SLC7A8, and MLPH significantly associated with longer RFS. Multivariate analysis of combined three-gene signature for ERα (+) cohort, and ERα (+) and node (+) cohorts showed better hazard ratio than individual genes. The validated three-gene signature sets for ERα (+) cohort, and ERα (+) and node (+) cohort may have potential clinical utility since they demonstrated predictive and prognostic ability in three independent public data sets.
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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
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A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
Marc J. van de Vijver, Yudong D. He, Laura van ‘t Veer et al. · New England Journal of Medicine · 2002 · 6.5K citations · Full text
Medicine, Bioinformatics, Oncology +17