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©The Author(s) 2020.
World J Gastroenterol. Jan 14, 2020; 26(2): 134-153
Published online Jan 14, 2020. doi: 10.3748/wjg.v26.i2.134
Published online Jan 14, 2020. doi: 10.3748/wjg.v26.i2.134
Figure 4 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.
- Citation: Zhang FP, Huang YP, Luo WX, Deng WY, Liu CQ, Xu LB, Liu C. Construction of a risk score prognosis model based on hepatocellular carcinoma microenvironment. World J Gastroenterol 2020; 26(2): 134-153
- URL: https://www.wjgnet.com/1007-9327/full/v26/i2/134.htm
- DOI: https://dx.doi.org/10.3748/wjg.v26.i2.134