Research Paper Volume 13, Issue 13 pp 17707—17733

Screening and identification of angiogenesis-related genes as potential novel prognostic biomarkers of hepatocellular carcinoma through bioinformatics analysis

Identification of the differentially expressed angiogenesis-related genes with prognostic value in the TCGA cohort. (A) Forest plots showing the results of the univariate Cox regression analysis between gene expression and OS. (B) The heatmap showing the expression of 16 overlapping genes in tumor tissues. (C) The DEGs with prognostic value were obtained by the intersection of the two groups of genes in the venn diagram. (D) The PPI network downloaded from the STRING database indicated the interactions among the candidate genes. (E) The correlation network of the candidate genes.

Figure 2. Identification of the differentially expressed angiogenesis-related genes with prognostic value in the TCGA cohort. (A) Forest plots showing the results of the univariate Cox regression analysis between gene expression and OS. (B) The heatmap showing the expression of 16 overlapping genes in tumor tissues. (C) The DEGs with prognostic value were obtained by the intersection of the two groups of genes in the venn diagram. (D) The PPI network downloaded from the STRING database indicated the interactions among the candidate genes. (E) The correlation network of the candidate genes.