Table 5. Nodes in combination with molecular characterization improve DFS modeling.

Population	Modulator	Modulation time, minutes	Antibody	Metric	P Model* ‡	P Node†	P MolChar†	P interaction term† ∥
Leukemic§	FLT3L	10	p-S6	log2 fold	0.027	0.090	0.191	0.025
	FLT3L	15	p-S6	log2 fold	0.007	0.059	0.242	0.012
	G-CSF	15	p-STAT3	log2 fold	0.108	0.158	0.681	0.054
	PMA	15	p-ERK	log2 fold	0.023	0.083	0.134	0.021
	PMA	15	p-S6	log2 fold	0.003	0.015	0.096	0.002
	SCF	15	p-S6	log2 fold	0.038	0.195	0.519	0.042
Leukemic	AraC+Dauno	1440	CD34	Uu	0.004	0.008	0.006	0.001
	AraC+Dauno	1440	cPARP	Uu	0.018	0.032	0.012	0.006
	AraC+Dauno	1440	p-Chk2	Uu	0.068	0.055	0.029	0.019
	Etopo	1440	cPARP	Uu	0.030	0.045	0.018	0.009
	Etopo	1440	p-Chk2	Uu	0.132	0.098	0.057	0.042

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.