胶质瘤-神经元的相互作用:来自神经可塑性的见解。

IF 3.5 3区 医学 Q2 ONCOLOGY
Frontiers in Oncology Pub Date : 2025-09-11 eCollection Date: 2025-01-01 DOI:10.3389/fonc.2025.1661897
Jingyu Feng, Jun Yang
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引用次数: 0

摘要

神经胶质瘤的发展与神经可塑性有关。成年后的神经元基本上是不可再生的,它们依靠轴突和突触来重建神经网络,以应对经历和损伤。神经干细胞和免疫细胞在神经回路信号的引导下协调“创造”(如神经发生)和“清除”(如突触修剪)。本文综述了神经可塑性机制并探讨了其与胶质瘤的联系,揭示了胶质瘤细胞劫持神经网络衍生信号以促进生长、迁移和干细胞样特性,同时破坏正常的神经传导。与少突胶质前体细胞(OPCs)类似,胶质瘤利用神经网络调节,但容易不受控制的增殖。此外,胶质瘤诱导的神经高兴奋性破坏了电路稳态,为胶质瘤的进展创造了一个允许的微环境。因此,神经可塑性将有助于研究胶质瘤相关机制,并制定更有针对性的预防和控制策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Glioma-neuron interactions: insights from neural plasticity.

The development of gliomas is linked to neuroplasticity. Neurons, which are largely nonregenerative in adulthood, rely on axons and synapses to rebuild the neural network in response to experience and injury. Neural stem cells and immune cells coordinate "creation" (e.g., neurogenesis) and "clearance" (e.g., synaptic pruning), guided by signals from neural circuits. This review summarizes neuroplasticity mechanisms and explores their connection to gliomas, revealing that glioma cells hijack neural network derived signals to promote growth, migration, and stem-like properties, while simultaneously disrupting normal neural conduction. Similar to oligodendrocyte precursor cells (OPCs), gliomas exploit neural network regulation but are prone to uncontrolled proliferation. Moreover, glioma induced neural hyperexcitability disrupts circuit homeostasis, creating a permissive microenvironment for glioma progression. Consequently, neuroplasticity will contribute to the study of glioma related mechanisms and the development of more targeted strategies for prevention and control.

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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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