Fig. 4.

Validation of hypoxia risk model in HCC. (A-B) ROC curves of ICGC cohort. From left to right: ROC curves showing the predictive accuracy on the one-year, two-year, and three-year survival rate; ROC curves of a single gene on the one-year, two-year, and three-year survival rate; (B) ROC curves of different clinical characteristics on the one-year, two-year, and three-year survival rate; (C) Univariate and Multivariate analyses in ICGC cohort. Left: Univariate analyses evaluating hypoxia signature in terms of OS in HCC patients; Right: Multivariate analyses evaluating the hypoxia signature in terms of OS in HCC patients; (D-E) ROC curves of TCGA cohort. From left to right: ROC curves showing the predictive accuracy on the one-year, two-year, and three-year survival rate; ROC curves of a single gene on the one-year, two-year, and three-year survival rate; (B) ROC curves of different clinical characteristics on the one-year, two-year, and three-year survival rate; (F) Univariate and Multivariate analyses in TCGA cohort. Left: Univariate analyses evaluating hypoxia signature in terms of OS in HCC patients; Right: Multivariate analyses evaluating the hypoxia signature in terms of OS in HCC patients; (G-H) Boxplot and ROC curves (from left to right) of hypoxia-risk model in ICGC (G) and TCGA (H) cohort to distinguish normal and HCC patients; (J) Boxplot and ROC curves (from left to right) of hypoxia-risk model in GEO cohort to distinguish Normal, Early-HCC, Medium HCC and Advanced-HCC patients.