Research Article

A Novel Three-miRNA Signature Identified Using Bioinformatics Predicts Survival in Esophageal Carcinoma

Figure 1

Identification of DEGs among TCGA and GEO datasets of ESCA. (a) Volcano plot of miRNA expression profile data between ESCA tissues and normal tissues in each dataset. Red dots: significantly upregulated genes in ESCA; Green dots: significantly downregulated miRNAs in ESCA; Black dots: nondifferentially expressed miRNAs. and |log2 FC| > 1.0 were considered as significant. (b) The Venn diagram showing the overlapped miRNAs in three datasets. ESCA and esophageal carcinoma.
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