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Fig. 5 | Journal of Translational Medicine

Fig. 5

From: Identification of an immune classification for cervical cancer and integrative analysis of multiomics data

Fig. 5Fig. 5

An integrative analysis of multiomics analyses and prognostic impacts according to immune classes. a Venn diagrams show different genes between the immune class and the non-immune class (left) or the exhausted class and the active immune class (right) affected by at least one of the indicated CNV, DEG, lncRNA, miRNA, protein or SNP events. The KEGG pathway network was constructed using the most significantly enriched pathways (p < 0.05) in the immune class (b), non-immune class (c), and exhausted and active immune subgroups (d). e, f The network of protein–protein interactions was constructed using the key genes in the KEGG pathway network in the immune class and non-immune class. g The Kaplan–Meier survival curves, including all the key nodes within the protein–protein interaction network, showed that 5 mRNAs were significant for predicting patient overall survival in the immune class, non-immune class and exhausted class. h 5 mRNAs expression was evident in 2 validation datasets. *p < 0.05; **p < 0.01; ***p < 0.001

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