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Fig. 4 | BMC Medicine

Fig. 4

From: Multiomics characterization of pyroptosis in the tumor microenvironment and therapeutic relevance in metastatic melanoma

Fig. 4

Pyroptosis is associated with multiple immune features. A Heatmap showing the microenvironmental cell population of different clusters in TCGA-SKCM patients. The x-axis represents different patients, and these patients were divided into 4 clusters. In each cluster, patients were ranked by PScore from lowest to highest. Cell types are annotated on the right of the plot. *** indicates P < 0.001 and represents a significant difference in the degree of immune infiltration between the “metastatic_High_PS” and “metastatic_Low_PS” groups. Red and blue denote high and low expression, respectively. Progression-free survival (PFS), overall survival (OS), and patient clusters are shown above the heatmap. B Correlation of PScore with stimulated immune checkpoints in multiple melanoma cohorts. Red and blue indicate the magnitudes of correlations: red, high; blue, low. Significant points are labeled using black diamonds. The horizontal axis is the checkpoints, and the vertical axis is the dataset identifiers. “TCGA_metastatic” refers to metastatic TCGA-SKCM patients. (C-D) Correlation of PScore with TCR/BCR diversity in metastatic TCGA-SKCM patients. The x-axis is PScore, and the y-axis is log2(TCR/BCR diversity). Each point represents a patient, and the blue line is the fitted correlation line. EF Bar plots showing the correlation between PScore and cell toxicity signatures (E: CYT; F: GEP) in metastatic TCGA-SKCM and GEO datasets. The x-axis represents the Pearson correlation coefficient, and the y-axis represents different datasets; the color of the bar graph represents the − log10 (p-value)

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