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Fig. 1 | World Journal of Surgical Oncology

Fig. 1

From: The expression pattern of immune-related genes and characterization of tumor immune microenvironment: predicting prognosis and immunotherapeutic effects in cutaneous melanoma

Fig. 1

Immune landscape and functional annotation of different immune subtypes. a Survival analysis of three immune clusters in the combined CM cohort. K-M curves with P < 0.001 suggested that the difference in survival was significant across the three clusters. Immune cluster A displayed superior survival compared with the other clusters. b PCA for the transcriptome profiles of the three immune clusters, suggesting an obvious distinction in the transcriptome of among different subtypes. c Unsupervised clustering of the genes related to immune in the combined CM cohort. Immune cluster, survival status, and age served as patients’ annotations. Red means high expression levels, and blue represents low expression levels of these genes. d and e GSVA enrichment analysis of the activated signaling pathways in three different immune clusters. Red color means the activation of signaling pathways, and blue represents the inhibition of signaling pathways. f Variations in the abundance of infiltrating immune cells among immune clusters A, B, and C using “ssGSEA” analysis. “*” represents the statistical P-value (*P < 0.05; **P < 0.01; ***P < 0.001). g Difference in the abundance of infiltrating immune cells among immune clusters A, B, and C using “CIBERSORT” analysis. The value of Y-axis is standard score. “*” represents the statistical P-value (*P < 0.05; **P < 0.01; ***P < 0.001). h The expression of immune-checkpoint-relevant genes expressed in three immune clusters (*P < 0.05; **P < 0.01; ***P < 0.001)

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