E2F4 activity predicts patient survival in the van de Vijver breast cancer dataset. (A) The E2F4 iRAS derives from the relative expression levels of E2F4’s target genes in individual samples. If its target genes are relatively highly expressed a larger iRAS results (Sample X), while lower average expression yields a lower iRAS (Sample Z). (B) In a Cox PH model, E2F4 iRAS significantly predicts patient survival even after adjusting for ER and LN lymph node status. (C) Patients with positive E2F4 scores (red curve) show significantly shorter survival times than those with negative E2F4 scores (green curve). Vertical hash marks indicate points of censored data. (B) and (C) derive from the van de Vijver dataset with overall survival (OS) as the endpoint. ER, estrogen receptor; iRAS, individual regulatory activity score; LN, lymph node; PH, proportional hazard.