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. 2020 Jan 14;26(2):134–153. doi: 10.3748/wjg.v26.i2.134

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©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.

This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.

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Prognostic analysis of the risk score model. A-C: Kaplan-Meier survival, risk score and time-dependent receiver operating characteristic (ROC) curves of the risk score model for the Cancer Genome Atlas database (TCGA) hepatocellular carcinoma (HCC) cohort; E-G: Kaplan-Meier survival, risk score and time-dependent ROC curves of the risk score model for the Gene Expression Omnibus databases (GEO) HCC cohort; I-K: Kaplan-Meier survival, risk score and time-dependent ROC curves of the risk score model for the International Cancer Genome Consortium database (ICGC) HCC cohort. A, E and I: OS was signiﬁcantly higher in the low-risk score group than in the high-risk score group; B, F and J: Relationship between the risk score (upper) and the expression of eight prognostic immune genes (lower) is shown; C, G and K: Time-dependent ROC curve analysis of the risk score model; D, H and L: The concordance index (C-index) was used to evaluate prognostic performance for survival prediction. Performance was compared between the risk score model and immune prognostic model by calculating the C-index in the TCGA, GEO and ICGC HCC cohorts. TCGA: The Cancer Genome Atlas database; GEO: Gene Expression Omnibus databases; ICGC: International Cancer Genome Consortium database; IPM: Immune prognostic model; HCC: Hepatocellular carcinoma.