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Heterotypic mouse models of canine osteosarcoma recapitulate tumor heterogeneity and biological behavior.

ABSTRACT: Osteosarcoma (OS) is a heterogeneous and rare disease with a disproportionate impact because 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 tumors 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. OS-2-derived tumors comprised a larger percentage of the xenograft tumors than OS-1-derived tumors. In addition, a robust pro-inflammatory population dominated the stromal cell infiltrates in OS-2 xenografts, whereas 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 the progression and metastatic propensity of OS.

SUBMITTER: Scott MC

PROVIDER: S-EPMC5200896 | biostudies-other | 2016 Dec

REPOSITORIES: biostudies-other

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Heterotypic mouse models of canine osteosarcoma recapitulate tumor heterogeneity and biological behavior.

Scott Milcah C MC Tomiyasu Hirotaka H Garbe John R JR Cornax Ingrid I Amaya Clarissa C O'Sullivan M Gerard MG Subramanian Subbaya S Bryan Brad A BA Modiano Jaime F JF

Disease models & mechanisms 20161103 12

Osteosarcoma (OS) is a heterogeneous and rare disease with a disproportionate impact because 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; t ...[more]

PMID: 27874835

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Project description:Purpose: The goals of this study were to establish in vivo models that recapitulated the heterogeneous behavior of osteosarcoma and to develop an approach to distinguish genes expressed from tumor cells apart from those expressed from host cells in next generation sequencing (NGS) data from xenograft tumors. Methods: We used cell lines derived from two spontaneous canine osteosarcoma tumors with distinctly different biological behaviors for heterotypic in vivo modeling. NGS was used to compare the transcriptome profiles of the xenograft tumors to the transcriptome profiles of the parental cell lines and to study the tumor microenvironment of the xenograft tumors. Sequenced reads were trimmed for adaptor sequence, and masked for low-complexity or low-quality sequence, then mapped to a HISAT2 index for mapping which was built from a multi-sequence fasta file containing both the canine (canFam3) and murine (mm10) genomes with the HISAT2 aligner (2.0.2-beta) using default parameters. Rsubread featureCounts (1.4.6) was used to estimate transcript abundance using default parameters. The Bioconductor package ‘edgeR’ (version 3.12.1) was used for differential gene expression analysis and Partek Genomic Suite (version 6.6) was used for clustering and visualization. Qiagen's Ingenuity Pathway Analysis application (version 01-04) and Thomson Reuter's MetaCore software suite were used for pathway and upstream regulator analysis with differentially expressed genes. Results: We document that orthotopic canine osteosarcoma xenografts preserve the biological, molecular, and heterotypic biology observed in the tumors from which they were derived. The data also provide insight into the tumor-host interactions and identify targets that could play a role in treatment strategies. Conclusions: Our study represents the first detailed analysis of xenograft transcriptomes with an approach that allows for accurate examination of tumor-intrinsic properties, as well as organotypic tumor-stromal interaction that may influence tumor progression.

Dataset Information

Heterotypic mouse models of canine osteosarcoma recapitulate tumor heterogeneity and biological behavior.

Publications

Heterotypic mouse models of canine osteosarcoma recapitulate tumor heterogeneity and biological behavior.

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