Fig. 3From: Development and validation of a hypoxia-immune-based microenvironment gene signature for risk stratification in gastric cancerHypoxia-immune-based gene signature and prognosis classifier. a Forest plot of hazard ratios for 39 hypoxia-immune-related prognostic DEGs. b Three-fold cross-validation for tuning parameter selection in the LASSO model. The partial likelihood deviance is plotted against log (λ), where λ is the tuning parameter. Partial likelihood deviance values are shown, with error bars representing SE. The dotted vertical lines are drawn at the optimal values by minimum criteria and 1-SE criteria. c LASSO coefficient profiles of the hypoxia-immune-related prognostic DEGs. The dotted line indicates the value chosen by 3-fold cross-validation. d Scatter plot shows the standardized log-rank statistic value for each corresponding cutoff of hypoxia-immune-based risk score. The optimal cutoff with the maximum standard log-rank statistic is marked with a vertical dashed line. e Distributions of risk score, survival status and expression profile of signature genes. f Kaplan–Meier plot of overall survival for patients in low-risk and high-risk groups by hypoxia-immune-based prognosis classifier in discovery cohortBack to article page