Identification of a Novel Circadian Rhythm-Related Signature for Predicting Prognosis and Therapies in Hepatocellular Carcinoma Based on Bulk and Single-Cell RNA Sequencing

Figure 4

Construction and validation of a circadian rhythm-related signature. (a) Venn plot of the differentially expressed CRRGs by overlapping DEGs from scRNA-seq and bulk RNA-seq data. (b) The forest plot shows the prognostic CRRGs by univariate Cox analysis. (c) The trajectory of each independent variable with lambda. (d) Plots of the coefficient distributions for the logarithmic (lambda) series for parameter selection (lambda). (e) The selected prognostic genes and corresponding coefficients. (f, k, and p) The survival status of patients and risk score of the TCGA-LIHC cohort, LIRI-JP cohort, and GSE14520 cohort. (g, l, and q) The survival status of the patients with high-risk and low-risk score groups in the TCGA-LIHC cohort, LIRI-JP cohort, and GSE14520 cohort. (h, m, and r) The heatmap of the five CRRGs between high-risk and low-risk score groups in the TCGA-LIHC cohort, LIRI-JP cohort, and GSE14520 cohort. (i, n, and s) Kaplan–Meier plot for HCCs in the high-CR score and low-CR score groups of the TCGA-LIHC cohort, LIRI-JP cohort, and GSE14520 cohort. (j, o, and t) ROC curves for 1-, 3-, and 5-year survival prediction in the TCGA-LIHC cohort, LIRI-JP cohort, and GSE14520 cohort.