Phospholipase A2 enzymes PLA2G2A and PLA2G12B as potential diagnostic and prognostic biomarkers in cholangiocarcinoma

Figure 6 Least Absolute Shrinkage and Selection Operator model optimization and prognostic analysis of PLA2G2A and PNPLA2 in cholangiocarcinoma survival. A: A coefficient profile plot was generated against the log (λ) sequence. Selection of the optimal parameter (λ) in the Least Absolute Shrinkage and Selection Operator (LASSO) model; B: Partial likelihood deviance for LASSO coefficient profiles. The red dots represent the partial likelihood values, the gray lines represent the standard error. Validation of independent prognostic factors; C: Univariate Cox regression analysis was performed to determine the independence of clinical characteristics as prognostic factors; D: Multivariable Cox regression analysis to identify clinical characteristics as prognostic factors; E-G: The survival curve for patients with, pathologic-stage, PLA2G2A, PNPLA2. The receiver operating characteristic (ROC) curve for 1, 3 and 5 overall survival of cholangiocarcinoma patients; H-J: 1-, 3-, and 5-years ROC curve corresponding to PLA2G2A, PNPLA2, and pathologic-stage. AUC: Area under the curve.