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Fig. 7 | BMC Cancer

Fig. 7

From: Integration of graph neural networks and transcriptomics analysis identify key pathways and gene signature for immunotherapy response and prognosis of skin melanoma

Fig. 7

Clustering and gene expression analysis across datasets: (A) Displays the variation in area under the curve for consensus clustering cumulative distribution function with respect to k in the melanoma patient cohort from the TIGER database; (B) Shows consensus clustering of the expression matrix of 13 genes included in responseScore within the melanoma patient cohort; (C) Details the immunotherapy response for different clusters in the melanoma patient cohort; (D) Illustrates the change in area under the curve for consensus clustering cumulative distribution function with k in the TCGA-SKCM dataset; (E) Depicts consensus clustering of the gene expression matrix for the 13 selected genes in the TCGA-SKCM dataset; (F) Compares overall survival periods across different clusters in the TCGA-SKCM dataset; (G) A forest plot presenting the results of single-factor Cox analysis for the 13 selected genes in the TCGA dataset; (H) Kaplan-Meier analysis results for each of the 13 included genes in the TCGA-SKCM dataset; (I) A barplot contrasting the expression levels of each gene between normal and cancer tissues in the TCGA-SKCM dataset; (J) Correlation coefficient graph for the expression levels of each included gene in the TCGA-SKCM dataset. (ns p > 0.05; * p < 0.05)

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BMC Cancer

ISSN: 1471-2407

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