Figure 5. Expression Profiles of PDX Models Cluster by Histology and Contain Driver Fusions.

(A) TumorMap rendition of PDX RNA-seq expression matrices by histology.

(B) Gene set enrichment analysis for Hallmark pathways for histologies with n ≥ 4 samples demonstrates histology-specific biologic processes significantly altered (adjusted p < 0.05 and NES > 2.0, N = 221). Samples were grouped by prior before GSEA (n_{bone sarcoma} = 10, n_brain = 58, n_leukemia = 90, n_{neuroblastoma} = 35, n_osteosarcoma = 36, n_renal = 14, n_{soft sarcoma} = 18).

(C and D) Venn diagram of RNA fusion overlap among four algorithms (C) and high-confidence fusion totals (D) demonstrates a higher overall number of fusions in hematologic malignancies (boxplots are graphed as medians with box edges as first and third quartiles; detailed Ns in Table S3). n = 244 RNA samples used as input, and all n’s represent biological replicates.