Prognostic model of hepatocellular carcinoma based on cancer grade

Figure 1 Differential expression analysis. A: Differential analysis between low-grade and high-grade hepatocellular carcinoma (HCC); B: Heatmap of differentially expressed genes in HCC.

Figure 2 Functional analysis. A-F: Gene set enrichment analysis in the CMG complex, DNA replication preinitiation complex, ribosome, DNA replication, unwinding of DNA, and CDC6 association with the ORC origin complex pathways.

Figure 3 Protein-protein interaction network complex and modular analysis of differentially expressed genes. A and B: Top 2 protein-protein interaction networks in molecular complex detection analysis.

Figure 4 Construction of a prognostic model. A: Ten-time cross-validation for tuning parameter selection in the least absolute shrinkage and selection operator (LASSO) model; B: LASSO coefficient profiles of the 41 hub genes; C: Distribution plots of the risk score; D: Kaplan-Meier curves between the high- and low-risk groups.

Figure 5 Prognostic value of the risk model. A: Nomogram for predicting 1-year, 3-year, and 5-yaer overall survival of hepatocellular carcinoma patients; B: Cox regression of the prognostic genes; C: Receiver operating characteristic curve of the risk factor. ^aP < 0.05; ^bP < 0.01; ^cP < 0.001.

Figure 6 Validation of the prognostic model. A: Distribution of risk score in validation set; B: Survival curves of high-risk group and low-risk group.