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Naturally occurring translational models fordevelopment of cancer gene therapy

机译:用于癌症基因治疗的天然翻译模型

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Most cancer deaths occur from metastatic spread of cancer cells. Immunotherapy and gene therapy are appealing modalities to treat cancer, not only because tumors that are resistant to conventional treatment such as radiation and chemotherapy can be treated using immunologic and genetic approaches, but also because these modalities can reach distant metastases and tumors that are inaccessible for conventional treatment. One gene therapy-based immunologic approach that has shown preclinical promise in laboratory animals is the use of Fas ligand (FasL) gene transfer. FasL promotes tumor cell killing directly and indirectly, and it induces reliable antitumor immune responses that protect animals against subsequent tumor challenge. Yet, despite the unquestioned benefits to study mechanistic questions, factors such as size, pharmacokinetic distribution, and route of administration preclude precise extrapolation of safety data from laboratory mice to humans. We have used spontaneous cancers of dogs as intermediaries for translational studies because the size and physiology of dogs, as well as the natural history of homologous tumors in this species resemble those of humans more closely than rodent models created in the laboratory. Here, we use appendicular osteosarcoma (OS) as an example to document clinical and biological similarities between the disease in dogs and humans. Specifically, we underscore the unique properties of this model to develop therapy approaches prior to translation into clinical trials of human cancer patients.
机译:大多数癌症死亡发生于癌细胞的转移扩散。免疫疗法和基因疗法是治疗癌症的诱人方法,不仅因为可以使用免疫学和遗传方法治疗对常规治疗(例如放疗和化疗)有抵抗力的肿瘤,而且还因为这些方法可以达到远处转移和难以获得的肿瘤常规治疗。一种基于基因疗法的免疫方法已在实验动物中显示出临床前希望,是使用Fas配体(FasL)基因转移。 FasL促进直接和间接杀死肿瘤细胞,并诱导可靠的抗肿瘤免疫反应,从而保护动物免受随后的肿瘤攻击。然而,尽管研究机理问题具有无可置疑的好处,但诸如大小,药代动力学分布和给药途径等因素仍无法从实验室小鼠向人类精确推断安全数据。我们使用狗的自发性癌症作为转化研究的中介,因为与实验室中创建的啮齿动物模型相比,狗的大小和生理以及该物种中同源肿瘤的自然史与人类的相似性更高。在这里,我们以阑尾骨肉瘤(OS)为例,以证明这种疾病在狗和人之间的临床和生物学相似性。具体来说,我们强调了该模型的独特属性,以便在将其转化为人类癌症患者的临床试验之前开发治疗方法。

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