In multivariate logistic regression models that considered age, WBC count, FLT3-ITD mutation, NPM1 mutation and score as variants, we observed that the inclusion of MPG6 score greatly improved the predictive performance (AUC = 0.762 versus 0.624 in TCGA CN-AML cohort and AUC = 0.912 versus 0.614 in GSE6891 cohort) (Fig. 2a). The gene discussed is NPM1; the disease is acute myeloid leukemia.