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Immunoengineering in glioblastoma imaging and therapy.
WIREs Nanomedicine and Nanobiotechnology ( IF 8.6 ) Pub Date : 2019-08-12 , DOI: 10.1002/wnan.1575
Steven Zanganeh 1 , Petrina Georgala 1 , Claudia Corbo 2 , Leila Arabi 3 , Jim Q Ho 4 , Najme Javdani 5 , Mohammad R Sepand 6 , Kiara Cruickshank 1 , Luis F Campesato 1 , Chien-Huan Weng 1 , Saeed Hemayat 6 , Chrysafis Andreou 7 , Ricardo Alvim 1 , Gregor Hutter 2 , Marjan Rafat 8, 9, 10 , Morteza Mahmoudi 11
Affiliation  

Patients diagnosed with glioblastoma have poor prognosis. Conventional treatment strategies such as surgery, chemotherapy, and radiation therapy demonstrated limited clinical success and have considerable side effects on healthy tissues. A central challenge in treating brain tumors is the poor permeability of the blood-brain barrier (BBB) to therapeutics. Recently, various methods based on immunotherapy and nanotechnology have demonstrated potential in addressing these obstacles by enabling precise targeting of brain tumors to minimize adverse effects, while increasing targeted drug delivery across the BBB. In addition to treating the tumors, these approaches may be used in conjunction with imaging modalities, such as magnetic resonance imaging and positron emission tomography to enhance the prognosis procedures. This review aims to provide mechanistic understanding of immune system regulation in the central nervous system and the benefits of nanoparticles in the prognosis of brain tumors. This article is characterized under: Diagnostic Tools > in vivo Nanodiagnostics and Imaging Nanotechnology Approaches to Biology > Cells at the Nanoscale Nanotechnology Approaches to Biology > Nanoscale Systems in Biology.

中文翻译:

胶质母细胞瘤成像和治疗中的免疫工程。

诊断为胶质母细胞瘤的患者预后较差。传统的治疗策略,如手术、化学疗法和放射疗法,临床成功率有限,并且对健康组织有相当大的副作用。治疗脑肿瘤的一个核心挑战是血脑屏障 (BBB) 对治疗的渗透性差。最近,基于免疫疗法和纳米技术的各种方法通过精确靶向脑肿瘤以最大限度地减少不良反应,同时增加通过 BBB 的靶向药物递送,已经证明了解决这些障碍的潜力。除了治疗肿瘤之外,这些方法还可以与成像方式结合使用,例如磁共振成像和正电子发射断层扫描,以增强预后程序。本综述旨在提供对中枢神经系统免疫系统调节的机制理解以及纳米粒子在脑肿瘤预后中的益处。本文的特点是:诊断工具 > 体内纳米诊断和成像纳米技术生物学方法 > 纳米级细胞生物学纳米技术方法 > 生物学中的纳米级系统。
更新日期:2019-11-01
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