Weighted Gene Correlation Network Analysis Identifies Specific Functional Modules and Genes in Esophageal Cancer

Figure 1

Analysis of DEGs of ESCA both in TCGA and GSE38129 datasets. (a) Volcano plots depict the results of differential expression analysis between 160 ESCA tumors and 11 normal tissues in TCGA cohort. Red bubble indicates upregulated gene in ESCA; green bubble represents downregulated gene in ESCA; black bubble is indicative of nonsignificant gene. (b) Heatmap visualizes the expression patterns of DEGs with adjusted value <0.05 and |log2fold-change|>1 in 160 ESCA tumors (T) and 11 normal tissues (N) in TCGA cohort. Red represents upregulation, while green indicates downregulation. (c) Volcano plots present the results of differential expression analysis between 30 paired ESCA tumors and nontumor tissues in the GSE38129 dataset. Red bubble expresses upregulated gene in ESCA; green bubble is indicative of downregulated gene in ESCA; black bubble represents nonsignificant gene. (d) Heatmap displays the expression patterns of DEGs with adjusted value <0.05 and |log2fold-change|>1 in 30 paired ESCA tumors (T) and nontumor tissues (N) in the GSE38129 dataset. Red is indicative of upregulation while green is indicative of downregulation.

(a)

(b)

(c)

(d)