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Fig. 2 | Molecular Medicine

Fig. 2

From: Leveraging a disulfidptosis-related signature to predict the prognosis and immunotherapy effectiveness of cutaneous melanoma based on machine learning

Fig. 2

Genetic characteristics and transcriptional changes of disulfidptosis related genes in CM. A Network diagram of PPI analysis and enrichment analysis of 18 DRGs. B Somatic mutation and copy number variation (CNV) information for all 18 DRGs within the TCGA-SKCM dataset. C The differential expression of 18 DRGs between CM patients and normal skin tissues was analyzed in the TCGA and GTEx datasets. D The differential expression of 18 DRGs between CM patients and normal skin tissues was analyzed in the GSE46517 dataset. *P < 0.001

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