Extended Figures

Extended data 1

• Ext Fig 1B : Number of tumors per rat in each cohort
• Ext Fig 1C: growth of NMU treated tumors over time
• Ext Fig 1F: PCA of growing vs stable epithelial cells
• Ext Fig 1G: correlation plot epithelial samples
• Ext Fig 1H-I: assoc of mutations with cohort
• Ext Fig 1J: Alexandrov mutational signatures
• Ext Fig 1K: most frequent mutations
• Ext Fig 1L: CNV calls

Extended data 2

• Ext2D PCA of CD45 cells
• Ext2E clonotype assoc with size
• Ext2F expression of checkpoint proteins in epithelial cells

Extended data 3

• Ext Fig 3C : FACS associated with outcome
• Ext Fig 3D : PCA plot all cell types
• Ext Fig 3E : Cell type specific genes
• Ext Fig 3H: DN assoc treatment GSEA
• Ext Fig 3I : HR clustering output progression

Extended data 4

• Ext Fig 4B association with facs
• Ext Fig 4C-D WSI-normalised-all-samples
• Ext Fig 4E Knn with treatment
• Ext Fig 4F Interacting fraction with treatment
• Ext Fig 4H MH with treatment

Extended data 5

• Ext Fig 5A: Expression of inflammatory genes across samples
• Ext Fig 5B growth profiles of inflammatory tumors
• Ext Fig 5C: Differential gene exp inflammatory vs non-inflammatory
• Ext Fig 5D: association signature with WSI
• Ext Fig 5E: Collagen content in growing vs stable
• Ext Fig 5F: Forest plot TCGA luminal ADAMTS10
• Ext Fig 5G ADAMST10 expression associated with clinical variables
• Ext Fig 5I-J: Associating growing signature with clinical variables
• Ext Fig 5K: TCGA DEG for LumA samples