脑肿瘤治疗中增强型体外引流的未来。

Future of convection-enhanced delivery in the treatment of brain tumors.

机构信息

Brain Tumor and NeuroOncology Center, Department of Neurological Surgery, Neurological Institute, Cleveland Clinic, OH 44195, USA.

出版信息

Future Oncol. 2010 Jan;6(1):117-25. doi: 10.2217/fon.09.135.

Abstract

Gliomas are one of the most lethal forms of cancer. The poor prognosis associated with these malignant primary brain tumors treated with surgery, radiotherapy and chemotherapy has led researchers to develop new strategies for cure. Interstitial drug delivery has been the most appealing method for the treatment of primary brain tumors because it provides the most direct method of overcoming the barriers to tumor drug delivery. By administering therapeutic agents directly to the brain interstitium and, more specifically, to tumor-infiltrated parenchyma, one can overcome the elevated interstitial pressure produced by brain tumors. Convection-enhanced delivery (CED) has emerged as a leading investigational delivery technique for the treatment of brain tumors. Clinical trials utilizing these methods have been completed, with mixed results, and several more are being initiated. However, the potential efficacy of these drugs may be limited by ineffective tissue distribution. The development of computer models/algorithms to predict drug distribution, new catheter designs, and utilization of tracer models and nanocarriers have all laid the groundwork for the advancement of CED. In this review, we summarize the recent past of the clinical trials utilizing CED and discuss emerging technologies that will shape future CED trials.

摘要

神经胶质瘤是最致命的癌症之一。手术、放疗和化疗治疗这些恶性原发性脑肿瘤的预后较差,这促使研究人员开发新的治疗方法。间质药物输送一直是治疗原发性脑肿瘤最有吸引力的方法,因为它提供了克服肿瘤药物输送障碍的最直接方法。通过将治疗剂直接施用于脑间质,更具体地说,施用于肿瘤浸润的实质,可以克服脑肿瘤产生的升高的间质压力。对流增强输送 (CED) 已成为治疗脑肿瘤的领先研究性输送技术。已经完成了利用这些方法的临床试验,结果喜忧参半,还有更多的试验正在启动。然而,这些药物的潜在疗效可能受到组织分布不均匀的限制。开发计算机模型/算法来预测药物分布、新型导管设计以及利用示踪剂模型和纳米载体,都为 CED 的发展奠定了基础。在这篇综述中,我们总结了利用 CED 的临床试验的最新进展,并讨论了将塑造未来 CED 试验的新兴技术。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索