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Fig. 4 | BMC Bioinformatics

Fig. 4

From: Integrated bioinformatics analysis for conducting a prognostic model and identifying immunotherapeutic targets in gastric cancer

Fig. 4

Risk score analyses of GC patients in TCGA using the IRRS model. A Distribution of risk scores per patient. B Relationships between survival status and survival times of GC patients ranked by risk. The black dotted line represents the median cut-off point used to divide patients into low- and high-risk groups. C Heatmap of the six-IRG expression profile. Red to green indicates decreasing expression level, from high to low. D Survival analysis of the predictive model. The Kaplan–Meier curves for the high- and low-risk are shown on the top; the number of living patients in the high- and low-risk groups over time (year) are shown on the bottom. E The receiver operating characteristic (ROC) curves of predictive models at 1-, 3-, and 5- year. Red represents 1- year, blue represents 3- year, and green represents 5- year

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