比格里坎
Wnt信号通路
维斯坎
生物
细胞外基质
转录组
肿瘤微环境
癌症研究
细胞生物学
脑瘤
表型
肿瘤进展
信号转导
蛋白多糖
病理
遗传学
基因表达
基因
医学
多糖
肿瘤细胞
作者
Reza Mirzaei,Charlotte D’Mello,Marina Liu,Ana Nikolić,Mehul Kumar,Frank Visser,Pinaki Bose,Marco Gallo,V. Wee Yong
出处
期刊:Cancer Research
[American Association for Cancer Research]
日期:2023-04-17
卷期号:83 (10): 1725-1741
被引量:4
标识
DOI:10.1158/0008-5472.can-22-3004
摘要
Glioblastomas (GBM) are aggressive brain tumors with extensive intratumoral heterogeneity that contributes to treatment resistance. Spatial characterization of GBMs could provide insights into the role of the brain tumor microenvironment in regulating intratumoral heterogeneity. Here, we performed spatial transcriptomic and single-cell analyses of the mouse and human GBM microenvironment to dissect the impact of distinct anatomical regions of brains on GBM. In a syngeneic GBM mouse model, spatial transcriptomics revealed that numerous extracellular matrix (ECM) molecules, including biglycan, were elevated in areas infiltrated with brain tumor-initiating cells (BTIC). Single-cell RNA sequencing and single-cell assay for transposase-accessible chromatin using sequencing showed that ECM molecules were differentially expressed by GBM cells based on their differentiation and cellular programming phenotypes. Exogeneous biglycan or overexpression of biglycan resulted in a higher proliferation rate of BTICs, which was associated mechanistically with low-density lipoprotein receptor-related protein 6 (LRP6) binding and activation of the Wnt/β-catenin pathway. Biglycan-overexpressing BTICs developed into larger tumors and displayed mesenchymal phenotypes when implanted intracranially in mice. This study points to the spatial heterogeneity of ECM molecules in GBM and suggests that the biglycan-LRP6 axis could be a therapeutic target to curb tumor growth.Characterization of the spatial heterogeneity of glioblastoma identifies regulators of brain tumor-initiating cells and tumor growth that could serve as candidates for therapeutic interventions to improve the prognosis of patients.
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