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.