Heterotypic models of osteosarcoma recapitulate tumor heterogeneity and biological behavior

• Published in: Disease models & mechanisms
• Main Authors: Scott, Milcah C., Tomiyasu, Hirotaka, Garbe, John R., Cornax, Ingrid, Amaya, Clarissa, O'Sullivan, M Gerard, Subramanian, Subbaya, Bryan, Brad A., Modiano, Jaime F.
• Format: Journal Article
• Language: English
• Published: 01.01.2016
• ISSN: 1754-8403; 1754-8411
• DOI: 10.1242/dmm.026849

Osteosarcoma (OS) is a heterogeneous and rare disease with a disproportionate impact, as it mainly affects children and adolescents. Lamentably, more than half of patients with OS succumb to metastatic disease. Clarification of the etiology of the disease, development of better strategies to manage progression, and methods to guide personalized treatments are among the unmet health needs for OS patients. Progress in managing the disease has been hindered by the extreme heterogeneity of OS; thus, better models that accurately recapitulate the natural heterogeneity of the disease are needed. For this study, we used cell lines derived from two spontaneous canine OS with distinctly different biological behavior (OS-1 and OS-2) for heterotypic in vivo modeling that recapitulates the heterogeneous biology and behavior of this disease. Both cell lines demonstrated stability of the transcriptome when grown as orthotopic xenografts in athymic nude mice. Consistent with the behavior of the original tumors, OS-2 xenografts grew more rapidly at the primary site and had greater propensity to disseminate to lung and establish microscopic metastasis. Moreover, OS-2 promoted formation of a different tumor-associated stromal environment than OS-1 xenografts. In addition to comprising a larger fraction of the tumors, a robust pro-inflammatory population dominated the stromal cell infiltrates in OS-2 xenografts, while a mesenchymal population with a gene signature reflecting myogenic signaling dominated those in the OS-1 xenografts. Our studies show that canine OS cell lines maintain intrinsic features of the tumors from which they were derived and recapitulate the heterogeneous biology and behavior of bone cancer in mouse models. This system provides a resource to understand essential interactions between tumor cells and the stromal environment that drive progression and metastatic propensity of OS.