Construction and validation of a pancreatic cancer prognostic model based on genes related to the hypoxic tumor microenvironment

Figure 3 Risk score analysis, prognostic performance, and survival analysis based on the prognostic model. A: Least absolute shrinkage and selection operator (LASSO) regression analysis with tenfold cross-validation was performed to construct a model based on 3 hypoxia-related genes; B: The coefficient distribution in the LASSO regression model; C: Risk scores and survival time distribution of patients in the cancer genome atlas-pancreatic adenocarcinoma (TCGA-PAAD) cohort stratified by the risk score of the hypoxia-related model; D: Kaplan-Meier analysis of overall survival (OS) for the risk groups in the TCGA-PAAD cohort (P = 0.005); E: The receiver operating characteristic curves of the risk score model for predicting 1-year [area under the curve (AUC) = 0.687], 3-year (AUC = 0.749), and 5-year (AUC = 0.796) OS in the TCGA-PAAD cohort.