Bioinformatic Analysis of GCN1 as a Novel Diagnostic and Prognostic Biomarker in Hepatocellular Carcinoma and Preliminary Exploration of Its Molecular Mechanisms

World Journal of Cancer and Oncology Research | Vol 4, Issue 1

Figure 3

Differential expression analysis and functional enrichment results related to GCN1. A. Volcano plot showing differentially expressed genes (DEGs) between high and low GCN1 expression groups. B. Heatmap of Z-score normalized expression levels of DEGs, highlighting representative significantly upregulated and downregulated genes. Samples are grouped based on high or low GCN1 expression. C. GO and KEGG enrichment analysis results. D-F. GSEA results showing KEGG pathways significantly enriched in samples with high GCN1 expression.

Figure 3. Differential expression analysis and functional enrichment results related to GCN1. A. Volcano plot showing differentially expressed genes (DEGs) between high and low GCN1 expression groups. B. Heatmap of Z-score normalized expression levels of DEGs, highlighting representative significantly upregulated and downregulated genes. Samples are grouped based on high or low GCN1 expression. C. GO and KEGG enrichment analysis results. D-F. GSEA results showing KEGG pathways significantly enriched in samples with high GCN1 expression.