Research Article
Comprehensive Analysis of N6-Methyladenosine (m6A) RNA Methylation Regulators and Tumour Microenvironment Cell Infiltration Involving Prognosis and Immunotherapy in Gastroesophageal Adenocarcinomas
Figure 3
Identification of DEGs and construction of the weighted coexpression network with WGCNA. (a, b) Volcano map of DEGs in TCGA and GSE9669, respectively; green indicates downregulated genes, and red indicates upregulated genes. (c) Venn diagrams of differentially expressed genes of TCGA datasets and GSE96669 dataset. (d) The cluster dendrogram of genes of GEA patients. Each branch in the figure represents one gene, and every color represents one coexpression module. (e) Correlation between the gene module and clinical characteristics, including m6A cluster, immune scores, and stromal scores. The correlation coefficient in each cell represented the correlation between the gene module and the clinical characteristics, which decreased in size from red to blue. (f) Scatter diagram for module membership vs. gene significance in the brown module. (g) Identification of the hub genes from the PPI network in the brown module using maximal clique centrality (MCC) algorithm. GEA: gastroesophageal adenocarcinoma; PPI: protein-protein interaction.
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