Connections between metabolism and epigenetic modifications in cancer.

Medical review (Berlin, Germany) Pub Date : 2022-02-14 eCollection Date: 2021-12-01 DOI:10.1515/mr-2021-0015
Guangchao Wang, Jingdong J Han
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引用次数: 4

Abstract

How cells sense and respond to environmental changes is still a key question. It has been identified that cellular metabolism is an important modifier of various epigenetic modifications, such as DNA methylation, histone methylation and acetylation and RNA N6-methyladenosine (m6A) methylation. This closely links the environmental nutrient availability to the maintenance of chromatin structure and gene expression, and is crucial to regulate cellular homeostasis, cell growth and differentiation. Cancer metabolic reprogramming and epigenetic alterations are widely observed, and facilitate cancer development and progression. In cancer cells, oncogenic signaling-driven metabolic reprogramming modifies the epigenetic landscape via changes in the key metabolite levels. In this review, we briefly summarized the current evidence that the abundance of key metabolites, such as S-adenosyl methionine (SAM), acetyl-CoA, α-ketoglutarate (α-KG), 2-hydroxyglutarate (2-HG), uridine diphospho-N-acetylglucosamine (UDP-GlcNAc) and lactate, affected by metabolic reprogramming plays an important role in dynamically regulating epigenetic modifications in cancer. An improved understanding of the roles of metabolic reprogramming in epigenetic regulation can contribute to uncover the underlying mechanisms of metabolic reprogramming in cancer development and identify the potential targets for cancer therapies.

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癌症代谢和表观遗传修饰之间的联系。
细胞如何感知和应对环境变化仍然是一个关键问题。细胞代谢是多种表观遗传学修饰的重要修饰因子,如DNA甲基化、组蛋白甲基化和乙酰化以及RNA N6-甲基腺苷(m6A)甲基化。这将环境营养物质的可用性与染色质结构和基因表达的维持紧密联系在一起,对调节细胞稳态、细胞生长和分化至关重要。癌症代谢重编程和表观遗传学改变被广泛观察到,并促进癌症的发展和进展。在癌症细胞中,致癌信号驱动的代谢重编程通过关键代谢产物水平的变化来改变表观遗传学景观。在这篇综述中,我们简要总结了目前的证据,即受代谢重编程影响的关键代谢产物,如S-腺苷甲硫氨酸(SAM)、乙酰-CoA、α-酮戊二酸(α-KG)、2-羟基戊二酸(2-HG)、尿苷二磷酸-N-乙酰葡糖胺(UDP-GlcNAc)和乳酸盐的丰度在癌症表观遗传修饰的动态调节中起着重要作用。更好地理解代谢重编程在表观遗传调控中的作用,有助于揭示癌症发展中代谢重编程的潜在机制,并确定癌症治疗的潜在靶点。
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