Suppr超能文献

芯片上微血管系统中人类胶质母细胞瘤细胞的体外动力学与肿瘤异质性和亚型相关。

Ex vivo Dynamics of Human Glioblastoma Cells in a Microvasculature-on-a-Chip System Correlates with Tumor Heterogeneity and Subtypes.

作者信息

Xiao Yang, Kim Dongjoo, Dura Burak, Zhang Kerou, Yan Runchen, Li Huamin, Han Edward, Ip Joshua, Zou Pan, Liu Jun, Chen Ann Tai, Vortmeyer Alexander O, Zhou Jiangbing, Fan Rong

机构信息

Department of Biomedical Engineering Yale University New Haven CT 06520 USA.

School of Computer Science Carnegie Mellon University Pittsburgh PA 15213 USA.

出版信息

Adv Sci (Weinh). 2019 Feb 10;6(8):1801531. doi: 10.1002/advs.201801531. eCollection 2019 Apr 17.

Abstract

The perivascular niche (PVN) plays an essential role in brain tumor stem-like cell (BTSC) fate control, tumor invasion, and therapeutic resistance. Here, a microvasculature-on-a-chip system as a PVN model is used to evaluate the ex vivo dynamics of BTSCs from ten glioblastoma patients. BTSCs are found to preferentially localize in the perivascular zone, where they exhibit either the lowest motility, as in quiescent cells, or the highest motility, as in the invasive phenotype, with migration over long distance. These results indicate that PVN is a niche for BTSCs, while the microvascular tracks may serve as a path for tumor cell migration. The degree of colocalization between tumor cells and microvessels varies significantly across patients. To validate these results, single-cell transcriptome sequencing (10 patients and 21 750 single cells in total) is performed to identify tumor cell subtypes. The colocalization coefficient is found to positively correlate with proneural (stem-like) or mesenchymal (invasive) but not classical (proliferative) tumor cells. Furthermore, a gene signature profile including PDGFRA correlates strongly with the "homing" of tumor cells to the PVN. These findings demonstrate that the model can recapitulate in vivo tumor cell dynamics and heterogeneity, representing a new route to study patient-specific tumor cell functions.

摘要

血管周围微环境(PVN)在脑肿瘤干细胞(BTSC)命运调控、肿瘤侵袭和治疗抗性中起着至关重要的作用。在此,一种作为PVN模型的芯片上微血管系统被用于评估来自10例胶质母细胞瘤患者的BTSC的体外动态变化。研究发现,BTSC优先定位于血管周围区域,在该区域它们要么表现出如静止细胞那样的最低运动性,要么表现出如侵袭性表型那样的最高运动性,并能进行长距离迁移。这些结果表明,PVN是BTSC的微环境,而微血管轨迹可能是肿瘤细胞迁移的路径。肿瘤细胞与微血管之间的共定位程度在不同患者中差异显著。为了验证这些结果,进行了单细胞转录组测序(共10例患者和21750个单细胞)以鉴定肿瘤细胞亚型。发现共定位系数与神经干细胞样(干性)或间充质(侵袭性)肿瘤细胞呈正相关,而与经典(增殖性)肿瘤细胞无关。此外,一个包括血小板衍生生长因子受体A(PDGFRA)的基因特征谱与肿瘤细胞向PVN的“归巢”密切相关。这些发现表明,该模型能够重现体内肿瘤细胞的动态变化和异质性,为研究患者特异性肿瘤细胞功能提供了一条新途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/962d/6468969/36084710a6ea/ADVS-6-1801531-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验