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Fig. 1 | Journal of Hematology & Oncology

Fig. 1

From: Precision oncology in AML: validation of the prognostic value of the knowledge bank approach and suggestions for improvement

Fig. 1

The receiver operating characteristic (ROC) curves illustrating the ability of the knowledge bank (KB) algorithm to predict 3-year overall survival rates in the a whole AML patient cohort, b younger adults with AML and c older adults with AML. The ROC curves illustrating the ability of the KB algorithm to predict additional outcome endpoints. d non-remission death, e relapse death and f death in first complete remission. The ROC curves illustrating the abilities of the KB algorithm (blue line), 2017 European LeukemiaNet (ELN) genetic-risk classification (gray line) and 2010 ELN genetic-risk classification (magenta line) to predict 3-year overall survival rates in the g whole cohort of patients with AML and h patients who did not die early. i The ROC curves showing the abilities of the KB algorithm (blue line) and the 17-gene stemness score (magenta line) to predict 3-year overall survival rates in 863 patients with RNA expression data available

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