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Fig. 2 | Journal of Experimental & Clinical Cancer Research

Fig. 2

From: IFI6 depletion inhibits esophageal squamous cell carcinoma progression through reactive oxygen species accumulation via mitochondrial dysfunction and endoplasmic reticulum stress

Fig. 2

Bioinformatic analysis and functional characteristics of IFI6 in ESCC datasets from GEO and TCGA. a. Venn diagram showing the intersection of mRNAs coexpressed with IFI6 in four GEO ESCC datasets (GEO accession no. GSE20347, no. GSE23400, no. GSE45670 and no. GSE75241) as determined by gene coexpression analysis. b. Correlation heatmap presenting the 20 mRNAs most significantly positively correlated with IFI6 (left) as well as the 20 mRNAs most significantly negatively correlated with IFI6 (right) in the four indicated GEO datasets, ranked by the P-value. c. Bubble plot of the top 10 GO BP terms identified by GO enrichment analysis of the set of genes coexpressed with IFI6, ranked by the corrected P-value (Q-value). The bubble colors indicate the Q-values, and the bubble sizes represent the number of genes in the corresponding GO term. BP, Biological Process. GO, Gene Ontology. d-f. ESCC patients in the TCGA database were divided into a high-IFI6 group and a low-IFI6 group according to their IFI6 expression level. Transcriptome analysis and GSEA were performed to compare the two groups in the enrichment of gene sets belonging to cell proliferation (d), negative regulation of apoptotic process (e), response to oxidative stress (f), respectively. GSEA enrichment diagrams are shown. NES: normalized enrichment score. g. Volcano diagram of ESCC patient data derived from the TCGA database separated by high vs. low abundance of IFI6. The red dots represent mRNAs involved in the response to oxidative stress. The x-axis denotes the fold change (log2 scale), whereas the y-axis indicates statistical significance (−log10 format)

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