干细胞和肿瘤之间的表观遗传串扰:机制和新兴观点。

IF 1.9 Q4 CELL BIOLOGY
American journal of stem cells Pub Date : 2025-08-25 eCollection Date: 2025-01-01 DOI:10.62347/GQZH3508
Wenli Zhou, Xuehai Liu, Zhaoyu Li, Binkui Jia, Xilin Lei, Kai Sun, Pengfei Yang, Shiye He, Di Wang, Haoling Zhang, Sinong Wang
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引用次数: 0

摘要

干细胞具有自我更新和多能分化能力,在再生医学和组织稳态维持方面有着广泛的应用。它们的命运调控在很大程度上依赖于精确的表观遗传机制。肿瘤干细胞(Cancer stem cells, CSCs)作为肿瘤异质性、复发和耐药的关键驱动因素,与正常干细胞具有广泛的表观遗传特征,形成了一个复杂而动态的调控网络。包括DNA甲基化、组蛋白修饰、染色质重塑和ncrna在内的机制共同维持了干细胞的多能性和肿瘤的干性,而异常的表观遗传改变是肿瘤发生和发展的核心驱动因素。近年来,随着单细胞组学和CRISPR-dCas9表观遗传编辑技术的出现,干细胞与肿瘤细胞之间的表观遗传“串扰”逐渐被揭示,尤其是肿瘤微环境(tumor microenvironment, TME)诱导的促进CSC性状和耐药的多维表观遗传重编程。本文系统总结了干细胞的表观遗传调控机制、肿瘤中的表观遗传异常、它们之间的相互作用以及在治疗策略中的转化潜力,重点介绍了可逆性表观遗传可塑性、代谢-表观遗传相互作用和液体活检表观遗传生物标志物等前沿课题。展望未来,人工智能(AI)和大数据分析有望加深对表观遗传异质性的理解,推动精准医学和再生干预的整合创新。全面了解干细胞与肿瘤之间的表观遗传串扰将为csc靶向治疗、表观遗传药物开发和干细胞命运操纵提供坚实的理论支持和技术途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Epigenetic crosstalk between stem cells and tumors: mechanisms and emerging perspectives.

Stem cells possess self-renewal and multipotent differentiation capabilities, exhibiting broad applications in regenerative medicine and tissue homeostasis maintenance. Their fate regulation relies heavily on precise epigenetic mechanisms. Cancer stem cells (CSCs), as key drivers of tumor heterogeneity, recurrence, and drug resistance, share extensive epigenetic features with normal stem cells, forming a complex and dynamic regulatory network. Mechanisms including DNA methylation, histone modification, chromatin remodeling, and ncRNAs collectively sustain stem cell pluripotency and tumor stemness, while aberrant epigenetic alterations serve as core drivers of tumor initiation and progression. In recent years, with the advent of single-cell omics and CRISPR-dCas9 epigenetic editing technologies, epigenetic "crosstalk" between stem cells and tumor cells has been progressively uncovered, especially the multidimensional epigenetic reprogramming induced by the tumor microenvironment (TME) that promotes CSC traits and drug resistance. This review systematically summarizes the epigenetic regulatory mechanisms of stem cells, epigenetic abnormalities in tumors, their interactions, and translational potential in therapeutic strategies, focusing on frontier topics such as reversible epigenetic plasticity, metabolic-epigenetic interplay, and liquid biopsy epigenetic biomarkers. Looking forward, artificial intelligence (AI) and big data analysis are expected to deepen the understanding of epigenetic heterogeneity, driving integrative innovations in precision medicine and regenerative interventions. Comprehensive understanding of the epigenetic crosstalk between stem cells and tumors will provide solid theoretical support and technical pathways for CSC-targeted therapies, epigenetic drug development, and stem cell fate manipulation.

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