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用于研究脑癌中肿瘤-基质相互作用的微生理系统。

Microphysiological systems to study tumor-stroma interactions in brain cancer.

机构信息

Department of Chemical and Biomolecular Engineering, Carl R Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.

Department of Chemical and Biomolecular Engineering, Carl R Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.

出版信息

Brain Res Bull. 2021 Sep;174:220-229. doi: 10.1016/j.brainresbull.2021.06.012. Epub 2021 Jun 21.

Abstract

Brain tumors still lack effective treatments, and the mechanisms of tumor progression and therapeutic resistance are unclear. Multiple parameters affect cancer prognosis (e.g., type and grade, age, location, size, and genetic mutations) and election of suitable treatments is based on preclinical models and clinical data. However, most candidate drugs fail in human trials due to inefficacy. Cell lines and tissue culture plates do not provide physiologically relevant environments, and animal models are not able to adequately mimic characteristics of disease in humans. Therefore, increasing technological advances are focusing on in vitro and computational modeling to increase the throughput and predicting capabilities of preclinical systems. The extensive use of these therapeutic agents requires a more profound understanding of the tumor-stroma interactions, including neural tissue, extracellular matrix, blood-brain barrier, astrocytes and microglia. Microphysiological brain tumor models offer physiologically relevant vascularized 'minitumors' that can help deciphering disease mechanisms, accelerating the drug discovery and predicting patient's response to anticancer treatments. This article reviews progress in tumor-on-a-chip platforms that are designed to comprehend the particular roles of stromal cells in the brain tumor microenvironment.

摘要

脑肿瘤仍然缺乏有效的治疗方法,肿瘤进展和治疗耐药的机制尚不清楚。多种参数影响癌症的预后(例如,类型和分级、年龄、位置、大小和基因突变),合适的治疗方法的选择基于临床前模型和临床数据。然而,由于无效,大多数候选药物在人体试验中失败。细胞系和组织培养板不能提供生理相关的环境,动物模型不能充分模拟人类疾病的特征。因此,越来越多的技术进步集中在体外和计算模型上,以提高临床前系统的通量和预测能力。这些治疗药物的广泛使用需要更深入地了解肿瘤-基质相互作用,包括神经组织、细胞外基质、血脑屏障、星形胶质细胞和小胶质细胞。微生理脑肿瘤模型提供了具有血管化的生理相关的“迷你肿瘤”,有助于破译疾病机制、加速药物发现并预测患者对抗癌治疗的反应。本文综述了旨在理解基质细胞在脑肿瘤微环境中特定作用的肿瘤芯片平台的进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d60/8324563/ce3d742ba36b/nihms-1717135-f0001.jpg

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