Figure 2.
Prognosis model based on ferroptosis-related genes for prostate cancer. (A) Receiver operating characteristic curve analysis of 1-, 3- and 5-year disease-free survival prediction through the prognostic model. (B) Confusion matrixes for the evaluation of the deep learning-based prediction model. The profile of coefficients in the model at varying levels of penalization is plotted against the log (lambda) sequence. (C) Kaplan–Meier survival analysis of disease-free survival stratified by DLFscore for prostate cancer patients in the TCGA cohort and validation GSE116918 cohort, respectively. (D) Univariate Cox regression analysis of DLFscore and clinicopathological factors in the TCGA cohort and the GSE116918 validation cohort. TCGA, The Cancer Genome Atlas; AUC, area under curve; DLFscore, deep learning-based ferroptosis score.