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Fig. 1 | Journal of Translational Medicine

Fig. 1

From: Immunologic constant of rejection as a predictive biomarker of immune checkpoint inhibitors efficacy in non-small cell lung cancer

Fig. 1

ICR classification of 162 NSCLC samples treated with anti-PD1/PDL1 ICI and correlations with immune variables. A Expression heatmap of the 20 ICR genes in 162 tumor samples. The samples (columns) are ordered from left to right according to their increasing ICR score. The 20 genes (raws) are ordered from top to bottom according to hierarchical clustering with uncentered Pearson correlation distance and centroid agglomerative method as parameters. The expression levels are color-coded according to the indicated color scale. Above the heatmap, the four ICR classes are indicated. B Correlation of ICR classes with DCB. The percentage of patients with DCB is indicated for each class. C Heatmap representation of expression scores of several immune-related variables and non-immune related variables in the four ICR classes. The mean scores are shown as median-centered according to the colored scale shown at the bottom. The p-values of comparison between the four classes (one-way ANOVA test) are shown on the right (NS not significant; * < 0.05; **, < 0.01; ***, < 0,001)

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