Fig. 8

Construction of the GC prognostic risk model based on 8 m6A-related lncRNAs. A, B Least absolute shrinkage and selection operator (LASSO) regression was performed, the penalization coefficient λ in the LASSO model was tuned using 10-fold cross-validation and minimum criterion for the selection of m6A-related lncRNAs. C Barplot of the coefficients of selected lncRNAs. D, E Kaplan Meier analysis showed that high-risk group exhibited worse survival outcome than low-risk group in the training (D) and validation cohort (E). F, G Receiver operating characteristic (ROC) curves of risk model for predicting survival in the training (F) and validation cohort (G). H, I Distribution of risk score, survival statuses of GC patients and expression levels of the 8 m6A-related lncRNAs in high-risk group and low-risk group in the training (H) and validation cohort (I)