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胶质母细胞瘤的类器官模型:进展、应用与挑战

Organoid models of glioblastoma: advances, applications and challenges.

作者信息

Zhang Chaocai, Jin Mingzhu, Zhao Jiannong, Chen Juxiang, Jin Weilin

机构信息

Department of Neurosurgery, Hainan General Hospital/Hainan Affiliated Hospital of Hainan Medical University Haikou, PR China.

Shanghai Jiao Tong University School of Medicine Shanghai, PR China.

出版信息

Am J Cancer Res. 2020 Aug 1;10(8):2242-2257. eCollection 2020.

Abstract

The high mortality and poor clinical prognosis of glioblastoma multiforme (GBM) are concerns for many GBM patients as well as clinicians and researchers. The lack of a preclinical model that can easily be established and accurately recapitulate tumour biology and the tumour microenvironment further complicates GBM research and its clinical translation. GBM organoids (GBOs) are promising high-fidelity models that can be applied to model the disease, develop drugs, establish a living biobank, mimic therapeutic responses and explore personalized therapy. However, GBO models face some challenges, including deficient immune responses, absent vascular system and controversial reliability. In recent years, considerable progress has been achieved in the improvement of brain tumour organoid models and research based on such models. In addition to the traditional cultivation method, these models can be cultivated via genetic engineering and co-culture of cerebral organoids and GBM. In this review, we summarize the applications of GBM organoids and related advances and provide our opinions on associated limitations and challenges.

摘要

多形性胶质母细胞瘤(GBM)的高死亡率和较差的临床预后是许多GBM患者以及临床医生和研究人员所关注的问题。缺乏一种易于建立且能准确重现肿瘤生物学和肿瘤微环境的临床前模型,进一步使GBM研究及其临床转化变得复杂。GBM类器官(GBO)是很有前景的高保真模型,可用于模拟疾病、开发药物、建立活体生物样本库、模拟治疗反应以及探索个性化治疗。然而,GBO模型面临一些挑战,包括免疫反应不足、缺乏血管系统以及可靠性存在争议。近年来,在改进脑肿瘤类器官模型以及基于此类模型的研究方面取得了相当大的进展。除了传统的培养方法外,这些模型还可以通过基因工程以及脑类器官与GBM的共培养来进行培养。在本综述中,我们总结了GBM类器官的应用及相关进展,并对相关局限性和挑战提出我们的看法。

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本文引用的文献

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Organoid Models of Glioblastoma to Study Brain Tumor Stem Cells.用于研究脑肿瘤干细胞的胶质母细胞瘤类器官模型
Front Cell Dev Biol. 2020 Apr 16;8:220. doi: 10.3389/fcell.2020.00220. eCollection 2020.
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Trends Cancer. 2020 Apr;6(4):265-267. doi: 10.1016/j.trecan.2020.01.016. Epub 2020 Feb 6.
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Combining microenvironment normalization strategies to improve cancer immunotherapy.联合微环境正常化策略以提高癌症免疫治疗效果。
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