20 January 2021>: Database Analysis
A Novel RNA-Binding Protein-Based Nomogram for Predicting Survival of Patients with Gastric Cancer
Maoshu Zhu 1AB* , Jiading Cai 2C* , Yulong Wu 3D , Xinhong Wu 4E , Lianghua Feng 5AF* , Zhijiang Yin 6AGDOI: 10.12659/MSM.928195
Med Sci Monit 2021; 27:e928195
Figure 1 Construction and evaluation of a 15-RBP signature for gastric cancer in the training and validation sets. (A) Selection of λ by 10-fold cross-validation. (B) Fitting processes of LASSO Cox regression model. Each curve represents the change trajectory of each RBP. The ordinate is the value of the coefficient, the lower abscissa is log(λ), and the upper abscissa is the number of variables in the model corresponding to each λ. (C, D) Kaplan-Meier overall survival analysis of patients in the high and low risk score groups for training and validation sets. (E, F) Construction and validation of ROC curves for 1, 3, and 5 years. (G, H) Distribution of risk scores and survival status for all patients in the training set. (I, J) Distribution of risk scores and survival status for all patients in the validation set. (K, L) Hierarchical clustering analysis visualizing the difference in expression of 15 RBPs between high and low risk score groups in the training and validation sets. Red represents upregulation and green represents down-regulation.