Outcomes in the test dataset according to the prognostic gene-expression score. The prognostic signature was developed exclusively in the training data and then applied to the test data. For visualization of patient survival according to the gene-expression score, a cutoff value was defined in the training cohort using a k-means clustering algorithm. This threshold was then used for dichotomization of score values in the test cohort. Kaplan-Meier plots of (A) OS and (B) EFS were generated for patients with high versus low gene-expression scores. Data on EFS were available for 77 of the 79 patients in the test cohort. (C) RFS for the 50 patients in the test cohort who reached CR.