Fig. 8.

Multivariate models for prostate cancer prognosis. Prognostic prostate cancer biomarkers were combined in a prognostic multigene model using multivariate Cox regression analysis and dataset GSE16560 (see also Table 1). a Kaplan–Meier survival analysis applying Gleason score (low risk = <7 or 7 (=3 + 4), high risk = >7 or 7(=4 + 3)). b Kaplan–Meier survival analysis for cases with and without rearrangements of the gene ERG. c Kaplan–Meier survival analysis for the multigene score; cases are assigned according to the median of the score. d Combination of Gleason score with the multigene score (assignment of cases as above). e Combination of ERG fusion status and multigene score. f Application of the model to the external dataset GSE21034. The scores calculated on GSE16560 were directly applied