Figure 3.

Prognostic model for pancreatic cancer based on ferroptosis regulators. (A) Forest plot showing the ferroptosis regulators associated with the survival of patients with pancreatic cancer; (B) risk score curve showing the distribution of patients with distinct lasso risk coefficients calculated by our model; (C) survival curve presenting the significant difference between the high- and low-risk groups in terms of survival outcomes; (D) receiver operating characteristic (ROC) curve showing the good accuracy of our model for the prediction of pancreatic cancer survival; (E,F) univariate and multivariate regression analyses identified that the risk value calculated by our model is an independent indicator of pancreatic cancer survival; (G) the nomogram combining ferroptosis-based risk values with several clinical factors accurately predicted the survival of patients with pancreatic cancer; (H) the calibration curve confirmed the accuracy of the nomogram.