Figure 3.

Establishment and evaluation of a PCDI. (A) Multiple LASSO and Cox regression were used to define optimal model. (B) Kaplan-Meier of overall survival of patients with high- and low-PCDI in TCGA OC samples after surgery. (C) Time-dependent ROC curves analysis of model in LIHC at 3 and 5 years. (D) Distribution of PCDI according to the survival status and time in TCGA cohort. (E) Univariate Cox regression analysis for identifying PCDI was significantly correlated with prognosis. (F) Multivariate Cox regression analysis for identifying PCDI could be used as an independent prognostic factor. PCDI, programmed cell death index; OC, ovarian cancer; TCGA, The Cancer Genome Atlas; LIHC, liver hepatocellular carcinoma; LASSO, least absolute shrinkage and selection operator; AUC, area under the curve; ROC, receiver operating characteristic; CI, confidence interval; OS, overall survival; HR, hazard ratio.