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利用工程材料剖析和重建胶质母细胞瘤微环境。

Dissecting and rebuilding the glioblastoma microenvironment with engineered materials.

作者信息

Wolf Kayla J, Chen Joseph, Coombes Jason, Aghi Manish K, Kumar Sanjay

机构信息

University of California, Berkeley - University of California, San Francisco Graduate Program in Bioengineering, Berkeley, California, 94720, USA.

Department of Bioengineering, University of California, Berkeley, Berkeley, California, 94720, USA.

出版信息

Nat Rev Mater. 2019 Oct;4(10):651-668. doi: 10.1038/s41578-019-0135-y. Epub 2019 Aug 16.

Abstract

Glioblastoma (GBM) is the most aggressive and common form of primary brain cancer. Several decades of research have provided great insight into GBM progression; however, the prognosis remains poor with a median patient survival time of ~ 15 months. The tumour microenvironment (TME) of GBM plays a crucial role in mediating tumour progression and thus is being explored as a therapeutic target. Progress in the development of treatments targeting the TME is currently limited by a lack of model systems that can accurately recreate the distinct extracellular matrix composition and anatomic features of the brain, such as the blood-brain barrier and axonal tracts. Biomaterials can be applied to develop synthetic models of the GBM TME to mimic physiological and pathophysiological features of the brain, including cellular and ECM composition, mechanical properties, and topography. In this Review, we summarize key features of the GBM microenvironment and discuss different strategies for the engineering of GBM TME models, including 2D and 3D models featuring chemical and mechanical gradients, interfaces and fluid flow. Finally, we highlight the potential of engineered TME models as platforms for mechanistic discovery and drug screening as well as preclinical testing and precision medicine.

摘要

胶质母细胞瘤(GBM)是原发性脑癌中最具侵袭性且最常见的形式。数十年的研究为GBM的进展提供了深刻见解;然而,患者的预后仍然很差,中位生存时间约为15个月。GBM的肿瘤微环境(TME)在介导肿瘤进展中起着关键作用,因此正被探索作为一个治疗靶点。目前,针对TME的治疗方法开发进展受到限制,因为缺乏能够准确重现大脑独特细胞外基质组成和解剖特征(如血脑屏障和轴突束)的模型系统。生物材料可用于开发GBM TME的合成模型,以模拟大脑的生理和病理生理特征,包括细胞和细胞外基质组成、力学性能和拓扑结构。在本综述中,我们总结了GBM微环境的关键特征,并讨论了工程化GBM TME模型的不同策略,包括具有化学和机械梯度、界面和流体流动的二维和三维模型。最后,我们强调了工程化TME模型作为机制发现和药物筛选平台以及临床前测试和精准医学的潜力。

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