Research Paper Advance Articles
Upregulation of multiple key molecules is correlated with poor prognosis and immune infiltrates in hepatocellular carcinoma by bulk and single-cell RNA-seq
Figure 6. Construction of riskScore signature. (A) Least absolute shrinkage and selection operator (LASSO) coefficient profiles of the ten key molecules. (B) Penalty plot for the LASSO model for the 10 prognostic genes with error bars denoting the standard errors. (C) The optimal cut-off point to dichotomize riskScore into low and high groups was determined by the function surv_cutpoint. The optimal cut-off point was 3.58. (D) Proportion of deaths in high and low risk groups as riskScore values increased. Hierarchical clustering of seven key genes between low and high risk groups. Red, up-regulated; Blue, down-regulated. (E) Survival analyses for low and high riskScore groups using Kaplan-Meier curves. (P < 0.0001, Log-rank test) (F) Predictive efficacy of riskScore on prognosis.