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Fig. 4 | BMC Medical Genomics

Fig. 4

From: A novel prognostic model for hepatocellular carcinoma based on 5 microRNAs related to vascular invasion

Fig. 4

Construction and validation of the prognostic model in HCC patients. (a) The univariate Cox regression analysis and Akaike information criterion (AIC) determined 5 VI-related miRNAs to build prognostic model, namely hsa-miR-126-3p, hsa-miR-148a-3p, hsa-miR-15a-5p, hsa-miR-30a-5p, hsa-miR-199a-5p. (b) Kaplan–Meier survival analysis showed that the survival time of patients with high-risk scores is significantly shorter than those with low-risk scores. The risk scores were calculated based on the 5-miRNA prognostic model. (c) Receiver operating characteristic (ROC) curve showed that the prognostic model has good accuracy in predicting 5-year overall survival of HCC patients from the TCGA database. (d) Distribution of risk scores of high- and low-risk HCC patients. Scatter plot (e) and bar plot (f) represented the correlation between survival time or survival state and risk score of HCC patients based on the prognostic model. (g) Heatmap showed that high-risk patients expressed lower levels of each miRNA biomarker

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