Research Article

Discovery and Validation of an Epithelial-Mesenchymal Transition-Based Signature in Gastric Cancer by Genomics and Prognosis Analysis

Figure 5

External validation of the independency of the EMT-related RS model in predicting prognosis in GSE66229 and GSE84437 datasets. (a, b) Heatmap of the expression of SERPINE1, PCOLCE2, MATN3, and DKK1 in high- and low-RS groups in (a) GSE66229 and (b) GSE84437 datasets. Red and green indicate up- and downregulation. (c) Univariate and (d) multivariate Cox regression analyses of the RS model and other clinicopathological characteristics in GSE66229 dataset. (e) Univariate and (f) multivariate Cox regression analyses of the RS model and other clinicopathological characteristics in GSE84437 dataset.
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