Nodes in combination with molecular characterization improve DFS modeling.

The table displays the p-values for the models (P Model) as well as the components: node (P Node), molecular characterization (P MolChar), and the interaction term (P interaction term).p-S6 indicates phosphorylated S6 ribosomal protein; G.CSF, granulocyte colony-stimulating factor; p-STAT3, phosphorylated signal transducer and activator of transcription 3; PMA, phorbol myristate acetate; p-ERK, phosphorylated endoplasmic reticulum kinase; SCF, Skp, Cullin, and F-box containing complex; CD34, cluster of differentiation 34; cPARP, cleaved poly(ADP-ribose) polymerase; and p-Chk2, phosphorylated checkpoint 2 protein kinase.Sample size n = 39 for each row*Wald test used.†t-test (H0:Slope = 0). Significant p-value suggests influence of model component on hazard ratio.‡Log of hazard ratio fit of MolChar plus node with interaction term using Cox Proportional -hazards regression: log h(t) = β0+β1*FLT3 ITD+β2*node+β2*node*FLT3 ITD.§Signaling examined in non-apoptotic Leukemic cells (cPARP negative).∥Interaction term included in model to evaluate simultaneous influence of MolChar and node on hazard ratio.