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PMID: 18350164 已发表 · epublish 英语

A mouse model of pulmonary metastasis from spontaneous osteosarcoma monitored in vivo by Luciferase imaging.

PloS one ·第 3 卷 ·第 3 期 ·2008-08-08

Miretti Silvia, Roato Ilaria, Taulli Riccardo, Ponzetto Carola, Cilli Michele, Olivero Martina, Di Renzo Maria Flavia, Godio Laura, Albini Adriana, Buracco Paolo, Ferracini Riccardo

摘要

Osteosarcoma (OSA) is lethal when metastatic after chemotherapy and/or surgical treatment. Thus animal models are necessary to study the OSA metastatic spread and to validate novel therapies able to control the systemic disease. We report the development of a syngeneic (Balb/c) murine OSA model, using a cell line derived from a spontaneous murine tumor.,The tumorigenic and metastatic ability of OSA cell lines were assayed after orthotopic injection in mice distal femur. Expression profiling was carried out to characterize the parental and metastatic cell lines. Cells from metastases were propagated and engineered to express Luciferase, in order to follow metastases in vivo.,Luciferase bioluminescence allowed to monitor the primary tumor growth and revealed the appearance of spontaneous pulmonary metastases. In vivo assays showed that metastasis is a stable property of metastatic OSA cell lines after both propagation in culture and luciferase trasduction. When compared to parental cell line, both unmodified and genetically marked metastatic cells, showed comparable and stable differential expression of the enpp4, pfn2 and prkcd genes, already associated to the metastatic phenotype in human cancer.,This OSA animal model faithfully recapitulates some of the most important features of the human malignancy, such as lung metastatization. Moreover, the non-invasive imaging allows monitoring the tumor progression in living mice. A great asset of this model is the metastatic phenotype, which is a stable property, not modifiable after genetic manipulation.

文献信息
期刊
PloS one
期刊简称
PLoS One
发表日期
2008-08-08
收录日期
2008-03-19
更新日期
2014-09-04
语言
英语
国家/地区
United States
NLM ID
101285081
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