Predicting leukemia-free survival. (A) Receiver operating characteristic curves on cross-validation subsets for leukemia-free survival using 3 variable datasets: IPSS (gray); standard variable predictions made using all variables available from peripheral blood counts bone marrow evaluation, cytogenetics, and demographics (red); and sequencing in combination with all standard variables (blue). The further the curve deviates from the diagonal, the more informative the prognostic model is. (B) Multivariate model to predict hemoglobin levels from driver mutations. The green step curve shows the cumulative proportion of variance (left y-axis) in hemoglobin levels explained by each of the genetic variables as one proceeds from left to right along the x-axis. The gray shaded area represents the 95% CI for this curve. Coefficient estimates for each gene in the model including all variables (right y-axis) are shown as circles, colored by biological pathway and sized by the number of patients with the given lesion. Coefficients above 0 indicate positive correlation with hemoglobin levels. (C) Multivariate model to predict bone marrow blast count from driver mutations, as for panel B.