Fig. 6

Establishment and validation of the E2F-related gene signature-based nomogram for RFS prediction. The ROC curve analysis showed the good performance of the E2F-related gene signature in predicting the RFS of PCa patients compared with the other four documented gene signatures in the MSKCC and TCGA-PRAD cohorts (A, B). Multivariate Cox regression indicated that T stage, Gleason score, and risk score of the E2F-related gene signature were associated with the RFS of PCa patients (C), and the RFS-predicting nomogram that integrated T stage, Gleason score, and risk score was established to predict the RFS of PCa patients (D). The calibration curve showed good agreement of the nomogram in RFS prediction compared to the actual RFS of PCa patients, and the DCA analysis visualized the net benefit of the E2F-related gene signature-based nomogram compared to T stage or Gleason score alone (E, F). The K–M plot showed that PCa patients with high points derived from the RFS-predicting nomogram exhibited poorer RFS than patients with low points (G), and the calibration curve displayed good agreement of the point in RFS prediction compared to the actual RFS of PCa patients. The time-dependent ROC curve demonstrated that the points exhibited good predictive value of the point in RFS prediction of PCa patients (H, I)