--- a +++ b/Fig5E_PDL1_IHC_boxplot.R @@ -0,0 +1,49 @@ + +# Plot IHC percentages of PD-L1+ cells in different hematological cancers (Figure 5E) + +library(data.table) +library(ggplot2) +library(RColorBrewer) +library(cowplot) +library(dplyr) +library(ggpubr) + +# read mIHC data +data <- fread("pdl1_ihc.txt", data.table = F) + +# order cancers for plotting + +data <- data %>% + mutate(Cancer_type = factor(Cancer_type, levels = c("DLBCL (non-GCB)", "DLBCL (GCB)", "pre-B-ALL", "T-ALL", "AML", "CML", "Healthy BM"))) + +# boxplot of all cancers with ABC and GCB separately +p <- ggplot(data, aes(x = Cancer_type, y = PDL1, fill = Cancer_type)) + + geom_boxplot(outlier.shape = NA) + + geom_jitter(width = 0.1, color = "grey20") + + #geom_jitter(data = df[df$Subtype=="Blast phase CML",], aes(color = Subtype), width = 0.1) + + scale_size_continuous(range = c(0.1, 2)) + + scale_y_continuous(limits = c(-0.1,112), breaks = c(0, 25, 50, 75, 100)) + + ylab("% PD-L1+ cells") + + xlab("") + + guides(fill = FALSE) + + theme_cowplot() + + theme(axis.text.x = element_text(angle = 45, hjust = 1)) + + scale_fill_manual(values = c("DLBCL (GCB)" = "rosybrown", "DLBCL (non-GCB)" = "rosybrown", "AML" = "mediumseagreen", "CML" = "darkgreen", "pre-B-ALL" = "violet", "T-ALL" = "cornflowerblue", "Healthy BM" = "grey50")) + + labs(color = "") + + stat_compare_means(ref.group = "Healthy BM", + label = "p.signif", + symnum.args = list(cutpoints = c(0, 0.0001, 0.001, 0.01, 0.05, 1), symbols = c("****", "***", "**", "*", "ns")), + method = "wilcox.test", + label.y = 112) + + stat_compare_means(comparisons = list(c("DLBCL (GCB)", "DLBCL (non-GCB)")), + label = "p.signif", + symnum.args = list(cutpoints = c(0, 0.0001, 0.001, 0.01, 0.05, 1), symbols = c("****", "***", "**", "*", "ns")), + method = "wilcox.test", + label.y = 105) + + + +# print +pdf("Figure5E_PDL1_IHC_boxplot.pdf", width = 3, height = 4.25) +p +dev.off()