Clinical and Translational Research
Copyright ©The Author(s) 2024.
World J Gastrointest Oncol. Jul 15, 2024; 16(7): 3097-3117
Published online Jul 15, 2024. doi: 10.4251/wjgo.v16.i7.3097
Figure 3
Figure 3 Least absolute shrinkage and selection operator Cox regression analysis for the screening of prognostic genes and construction and validation of the risk score in training and test data. A: Choosing optimal lambda in least absolute shrinkage and selection operator; dotted lines were drawn at the optimal values; B: Coefficients of overall survival-related glycolytic genes; C and D: Kaplan-Meier analysis of different glycolysis status in training and internal testing data (yellow: High glycolysis status; blue: Low glycolysis status); E and F: Receiver operating characteristic curves of risk models. Red: 1 year, yellow: 3 years, and blue: 5 years; G and H: Univariate and multivariate Cox regression analysis of clinicopathological parameters including risk score to assess the prognostic value in The Cancer Genome Atlas of Stomach Adenocarcinoma. TCGA: The Cancer Genome Atlas; TPR: True positive rate; FPR: False positive rate; AUC: Area under the receiver operating characteristic curve.