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. 2016 Aug 18;10(9):1461–1472. doi: 10.1016/j.molonc.2016.07.012

Figure 4.

Figure 4

Identification of a module based signature that predicts outcome of MNA NB patients. A) AUC analysis to identify outcome associated genes in MNA NB (AUC > 0.7 used as cut‐off). B) Modules identified from network analysis of identified predictive genes. C) AUC values for each of the individual predictive modules, as well as a combination module. The combination module is the best predictor of outcome. D) Kaplan–Meier survival analysis of each of the MYCN modules in the validation cohort (i–viii: Modules 0–6, combination: *p = 0.01, p = 0.0001, p = 0.07, p = 0.003, p = 0.1, p = 0.003 p = 0.01, p = 0.0004, log‐rank test). High Risk: High molecular risk. Low Risk: Low molecular risk.