The systematic evaluation of predictors built from the single and merged gene expression data sets also led us to the surprising observation that a single-gene signature consisting of CYB5D1 had the highest prediction accuracy and strongest patients risk association in breast cancer, surpassing all gene signatures with different gene size evaluated in this study. The gene discussed is CYB5D1; the disease is breast cancer.