Tp53 figures by broad histology and cancer group (#1202)

* add plots of tp53 scores by histology

* update path to root

analyses/tp53_nf1_score/09-compare-histologies.R

@@ -0,0 +1,106 @@
+suppressPackageStartupMessages({
+  library(tidyverse)
+  library(ggpubr)
+})
+
+# set up directories
+root_dir <- rprojroot::find_root(rprojroot::has_dir(".git")) 
+palette_dir <- file.path(root_dir, "figures", "palettes")
+output_dir <- file.path(root_dir, "analyses", "tp53_nf1_score",
+                        "plots")
+
+# read in histologies and tp53 scores file
+hist_file = file.path(root_dir, "data", "pbta-histologies.tsv")
+tp53_file = file.path(root_dir, "analyses", "tp53_nf1_score",
+                 "results", "tp53_altered_status.tsv")
+
+# Declare output filenames
+tp53_broad_png <- file.path(output_dir, "tp53_broad_histology.png")
+tp53_cg_png <- file.path(output_dir, "tp53_cancer_group.png")
+
+
+# Import standard color palettes for project
+histology_label_mapping <- read_tsv(file.path(palette_dir, "histology_label_color_table.tsv"))
+
+# read in histologies file
+histologies <- read_tsv(hist_file, guess_max = 10000) %>%
+  filter(sample_type == "Tumor") %>%
+  # remove cell lines from plots
+  filter(composition != "Derived Cell Line") %>%
+  # select only columns of interest
+  select(Kids_First_Biospecimen_ID, sample_id, broad_histology, cancer_group, molecular_subtype)
+
+# read in tp53 scores
+tp53 <- readr::read_tsv(tp53_file) %>%
+  mutate(Kids_First_Biospecimen_ID = Kids_First_Biospecimen_ID_RNA) %>%
+  select(Kids_First_Biospecimen_ID,
+         tp53_score) %>%
+  filter(!is.na(Kids_First_Biospecimen_ID)) %>%
+  distinct()
+
+# join histology data with tp53 scores
+tp53_hist_for_broad <- tp53 %>%
+  left_join(histologies) %>%
+  distinct() %>%
+  # remove broad histology == NA
+  filter(!is.na(broad_histology)) %>%
+  # remove precancerous lesion, non-tumor, benign
+  filter(broad_histology != "Pre-cancerous lesion" & broad_histology != "Non-tumor" & 
+           broad_histology != "Other tumor")
+
+# remove cancer group == NA
+tp53_hist_for_cancer_group <- tp53 %>%
+  left_join(histologies) %>%
+  distinct() %>%
+  filter(!is.na(cancer_group)) 
+
+
+# Join histology and color mappings and labels
+colors <- histologies %>%
+  inner_join(histology_label_mapping, by = 
+                      c("Kids_First_Biospecimen_ID",
+                        "cancer_group", "broad_histology")) %>%
+  filter(!is.na(cancer_group) & !is.na(broad_histology)) %>%
+  select(cancer_group, cancer_group_hex_codes, broad_histology, hex_codes) %>%
+  distinct()
+
+# Make color key specific to these samples
+col_cg <- colors$cancer_group_hex_codes
+names(col_cg) <- colors$cancer_group
+
+col_broad <- colors$hex_codes
+names(col_broad) <- colors$broad_histology
+
+
+
+## boxplot of TP53 scores by broad histology
+png(tp53_broad_png, width = 8, height = 5, units = "in", res = 1200)
+ggplot(tp53_hist_for_broad, aes(reorder(broad_histology, -tp53_score, FUN = median, na.rm = TRUE), tp53_score)) +
+  geom_boxplot(aes(color = broad_histology, fill = broad_histology), alpha = 0.3) +
+  geom_hline(aes(yintercept=0.5), linetype = "dashed", color = "black") +
+  geom_jitter(aes(color = broad_histology, alpha = 0.2)) +
+  scale_fill_manual(values = col_broad, aesthetics = c("colour", "fill")) +
+  xlab("Broad histology") +
+  ylab("TP53 scores") +
+  theme_pubr() +
+  rremove("legend") + 
+  theme(legend.position = "none",
+        axis.text.x = element_text(angle = 60, size = 6, vjust = 1, hjust = 1)) 
+dev.off()
+
+## boxplot of TP53 scores by cancer group
+png(tp53_cg_png, width = 8, height = 5, units = "in", res = 1200)
+ggplot(tp53_hist_for_cancer_group,  aes(reorder(cancer_group, -tp53_score, FUN = median, na.rm = TRUE), tp53_score)) +
+geom_boxplot(aes(color = cancer_group, fill = cancer_group), alpha = 0.3) +
+  geom_hline(aes(yintercept=0.5), linetype = "dashed", color = "gray60") +
+  geom_jitter(aes(color = cancer_group, alpha = 0.2)) +
+  scale_fill_manual(values = col_cg, aesthetics = c("colour", "fill")) +
+  xlab("Cancer group") +
+  ylab("TP53 scores") +
+  theme_pubr() +
+  rremove("legend") + 
+  theme(legend.position = "none",
+    axis.text.x = element_text(angle = 60, size = 6, vjust = 1, hjust = 1)) 
+dev.off()
+
+