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Fig. 1 | Journal of Translational Medicine

Fig. 1

From: 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 prognosis

Fig. 1

The 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 < 0.001

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