Fig. 1From: Identification and validation of a novel survival prediction model based on the T-cell phenotype in the tumor immune microenvironment and peripheral blood for gastric cancer prognosisThe prognosis and characteristics of immune markers in two clusters of GC patients defined by unsupervised hierarchical clustering analysis. A Multiplex immunofluorescence staining of PD-1, PD-L1 and TIM-3 expression on CD8+TILs. The yellow arrow indicates double-positive cells. Bar: 20 μm. B Correlation analysis among CD8+TILs, IMs (PD-1, PD-L1 and TIM-3) and IMs+CD8+TILs. ***1: P < 0.001, *2: P = 0.012, *3: P = 0.008, *4: P = 0.021, *5: P = 0.011, *6: P = 0.013, **7: P = 0.007. C ROC curves and AUCs with 95% CI were used to evaluate the accuracy of IM expression, IM+CD8+ TIL density and proportion in predicting 3-year prognosis (n = 47). ***1: P < 0.001, **2: P = 0.007, **3: P = 0.009, ***4: P < 0.001. D Survival analysis of the different levels of IMs+CD8+TIL infiltration at the corresponding cut-offs (24.0% for PD-1+CD8+TILs, 0.8% for TIM-3+CD8+TILs, 0.84 cells/mm2 and 1.0% for PD-L1+CD8+TILs). (E) The heatmap of the percentage of PD-1+CD8+TILs and PD-L1+CD8+TILs in patients with TIME-A (n = 37) and TIME-B (n = 10) defined by unsupervised hierarchical clustering. (F) Survival analysis of the two clusters. TIL: tumor infiltrating lymphocytes, IMs: inhibitory molecules, ROC: receiver operating characteristic, AUC: area under the curve. *P < 0.05, **P < 0.01, ***P < 0.001Back to article page