Abstract
Pet dogs spontaneously develop many of the same tumor types as humans, including osteosarcoma. Recent advances in spatial transcriptomics have improved our ability to utilize formalin-fixed paraffin-embedded tissues collected at canine autopsy. These techniques allow the canine model to be investigated alongside murine models to inform human cancer research. Herein, we present the first application of the GeoMx Canine Cancer Atlas to outcome-linked samples from canine patients enrolled in an osteosarcoma clinical trial.
A tissue microarray of primary osteosarcoma samples was assayed using the GeoMx Digital Spatial Profiler. Samples were stratified by disease-free interval (DFI). Patients within the upper and lower tertiles were assigned to the high- (n = 8) and low-DFI (n = 8) groups, respectively. Analyses included the identification of differentially expressed genes, pathway enrichment, and cell deconvolution.
Genes enriched in high-DFI tumors included PTEN and CDKN1B. Low-DFI tumors were enriched for NCAM1. Pathways enriched in the low-DFI group included MYC, MTORC1, and oxidative phosphorylation. High-DFI tumors were enriched for IFNα response and allograft rejection pathways, among others. Macrophages and CD8+ T cells were elevated in high-DFI tumors.
Gene and pathway enrichment found to be associated with DFI in this study overlap with that described in human patients with osteosarcoma, underscoring the value of the canine model in metastatic osteosarcoma research.
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