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解码胶质母细胞瘤的多样性:神经元参与其中吗?

Decoding glioblastoma's diversity: Are neurons part of the game?

作者信息

Maleszewska Marta, Roura Adrià-Jaume, Dabrowski Michal J, Draminski Michal, Wojtas Bartosz

机构信息

Department of Animal Physiology, Institute of Experimental Zoology, Faculty of Biology, University of Warsaw, 1 Miecznikowa Str, 02-096, Warsaw, Poland.

Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain; Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain.

出版信息

Cancer Lett. 2025 Jun 28;620:217666. doi: 10.1016/j.canlet.2025.217666. Epub 2025 Mar 25.

Abstract

Glioblastoma multiforme (GBM, WHO Grade 4) is a highly aggressive primary brain tumor with limited treatment options and a poor prognosis. A key challenge in GBM therapy lies in its pronounced heterogeneity, both within individual tumors (intratumoral) and between patients (intertumoral). Historically, neurons have been underexplored in GBM research; however, recent studies reveal that GBM development is closely linked to neural and glial progenitors, often mimicking neurodevelopmental processes in a dysregulated manner. Beyond damaging neuronal tissue, GBM actively engages with neurons to promote pro-tumorigenic signaling, including neuronal hyperexcitability and seizures. Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of the tumor microenvironment (TME), uncovering the critical roles of immune cells, endothelial cells, and astrocytes in tumor progression. However, technical limitations of scRNA-seq hinder its ability to capture the transcriptomes of neurons, necessitating the use of single-nucleus RNA sequencing (snRNA-seq) to study these interactions at single-cell resolution. This work collects the emerging insights of glioblastoma-neuron interactions, focusing on how GBM exploits neurodevelopmental pathways and reshapes neuronal networks. Moreover, we perform bioinformatic analysis of publicly available snRNA-seq datasets to propose putative cell-cell interactions driving glioma-neuronal dynamics. This study delineates key signaling pathways and underscores the need for further investigation to evaluate their potential as therapeutic targets.

摘要

多形性胶质母细胞瘤(GBM,世界卫生组织4级)是一种侵袭性很强的原发性脑肿瘤,治疗选择有限且预后较差。GBM治疗的一个关键挑战在于其显著的异质性,包括个体肿瘤内部(瘤内)和患者之间(瘤间)的异质性。从历史上看,神经元在GBM研究中一直未得到充分探索;然而,最近的研究表明,GBM的发展与神经和胶质祖细胞密切相关,常常以失调的方式模仿神经发育过程。除了损害神经元组织外,GBM还积极与神经元相互作用,以促进促肿瘤信号传导,包括神经元过度兴奋和癫痫发作。单细胞RNA测序(scRNA-seq)彻底改变了我们对肿瘤微环境(TME)的理解,揭示了免疫细胞、内皮细胞和星形胶质细胞在肿瘤进展中的关键作用。然而,scRNA-seq的技术局限性阻碍了其捕获神经元转录组的能力,因此需要使用单核RNA测序(snRNA-seq)来在单细胞分辨率下研究这些相互作用。这项工作收集了关于胶质母细胞瘤与神经元相互作用的新见解,重点关注GBM如何利用神经发育途径并重塑神经网络。此外,我们对公开可用的snRNA-seq数据集进行了生物信息学分析,以提出驱动胶质瘤与神经元动态变化的假定细胞间相互作用。这项研究描绘了关键信号通路,并强调需要进一步研究以评估它们作为治疗靶点的潜力。

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