基于生物材料的多形性胶质母细胞瘤体外三维建模

Tanvir Ahmed
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引用次数: 2

摘要

成人发病的脑癌,如胶质母细胞瘤,尤其致命。如果没有治愈方法,多形性胶质母细胞瘤(GBM)患者的预期寿命不会超过15个月。过去20年来,传统治疗的结果并不令人满意。肿瘤的侵袭性、位置以及缺乏能够穿透血脑屏障的系统治疗都是促成因素。对于在临床前研究中看起来很有前景的GBM治疗,在I期和II期临床试验中有相当大的失败率。不幸的是,由于肿瘤的复杂结构,进入变得不可能。在体外,生物工程癌症模型目前正被研究人员用于研究疾病发展、测试新疗法和推进专业药物。由于细胞和组织工程的发展,在过去几十年中出现了许多不同的体外系统创建技术。如果使用类似脑组织和血脑屏障的体外模型,后期研究可能会产生更好的结果。随着生物材料提供的3D临床前模型的使用,研究人员发现有可能克服这些限制。使用生物材料和新型药物载体治疗GBM的创新体外模型是可能的。这篇综述讨论了三维体外胶质母细胞瘤建模系统的优点和缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biomaterial-based in vitro 3D modeling of glioblastoma multiforme

Adult-onset brain cancers, such as glioblastomas, are particularly lethal. People with glioblastoma multiforme (GBM) do not anticipate living for more than 15 months if there is no cure. The results of conventional treatments over the past 20 years have been underwhelming. Tumor aggressiveness, location, and lack of systemic therapies that can penetrate the blood–brain barrier are all contributing factors. For GBM treatments that appear promising in preclinical studies, there is a considerable rate of failure in phase I and II clinical trials. Unfortunately, access becomes impossible due to the intricate architecture of tumors. In vitro, bioengineered cancer models are currently being used by researchers to study disease development, test novel therapies, and advance specialized medications. Many different techniques for creating in vitro systems have arisen over the past few decades due to developments in cellular and tissue engineering. Later-stage research may yield better results if in vitro models that resemble brain tissue and the blood–brain barrier are used. With the use of 3D preclinical models made available by biomaterials, researchers have discovered that it is possible to overcome these limitations. Innovative in vitro models for the treatment of GBM are possible using biomaterials and novel drug carriers. This review discusses the benefits and drawbacks of 3D in vitro glioblastoma modeling systems.

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来源期刊
Cancer pathogenesis and therapy
Cancer pathogenesis and therapy Surgery, Radiology and Imaging, Cancer Research, Oncology
CiteScore
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