Research Paper Volume 16, Issue 3 pp 2542—2562

Identification and validation of an H2AZ1-based index model: a novel prognostic tool for hepatocellular carcinoma


Figure 2. Weighted gene co-expression network analysis reveals the regulatory pattern of H2AZ1 in hepatocellular carcinoma. (A) Rosette volcano plot showing differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRs) in control and hepatocellular carcinoma (HCC), H2AZ1 overexpressed and H2AZ1 underexpressed, respectively (TCGA-LIHC). (B) Scatter plot showing differentially expressed genes and miRNAs in HCC affected by H2AZ1. (C) Heat map showing the expression of dysregulated genes associated with H2AZ1 overexpression in HCC in Control-H2AZ1 high and low expression groups. (D) Heat map showing the expression of H2AZ1-related HCC DEmiRs in the high and low expression groups of Control-H2AZ1. (E) Module ring tree diagram showing the adjacency relationship between the co-expression modules of HCC-related dysregulated genes. Gene clustering is represented by different colors. (F) Scale independence and mean connectivity analysis for various soft threshold powers. (G) Heat map of the module clustering tree showing the gene members of the co-expression module of the H2AZ1 gene in the regulation of HCC. (H) Module-trait relationship showing the correlation of gene co-expression modules with H2AZ1 and tumor size (T), lymph node involvement (N), distant metastasis (M), overall survival (OS), age, and gender.