Research Paper Volume 13, Issue 4 pp 5824—5844

Development and validation of an individual alternative splicing prognostic signature in gastric cancer

Construction and evaluation of the 23-AS event prognostic signature for GC patients. (A, B) LASSO regression analysis of OS- GCAS events. (C) The 23 OS-GCAS events included in the signature. Corresponding coefficients from multivariate Cox regression using LASSO and log10(HRs) are depicted by horizontal bars and dots, respectively. (D) Time-dependent ROC curves for the 23-AS event signature in the training and validation datasets. (E, F) Kaplan-Meier curves with difference detection by log-rank test for patients from the training and validation datasets.

Figure 4. Construction and evaluation of the 23-AS event prognostic signature for GC patients. (A, B) LASSO regression analysis of OS- GCAS events. (C) The 23 OS-GCAS events included in the signature. Corresponding coefficients from multivariate Cox regression using LASSO and log10(HRs) are depicted by horizontal bars and dots, respectively. (D) Time-dependent ROC curves for the 23-AS event signature in the training and validation datasets. (E, F) Kaplan-Meier curves with difference detection by log-rank test for patients from the training and validation datasets.