Interweaving Tumor Heterogeneity into the Cancer Epigenetic/Metabolic Axis

表观遗传学 表观遗传学 肿瘤微环境 生物 癌症 重编程 后生 瓦博格效应 癌细胞 计算生物学 生物信息学 癌症研究 DNA甲基化 遗传学 细胞 基因 基因表达
作者
Jia Yu Leung,Kimberly Chia,Derrick Sek Tong Ong,Reshma Taneja
出处
期刊:Antioxidants & Redox Signaling [Mary Ann Liebert, Inc.]
卷期号:33 (13): 946-965 被引量:4
标识
DOI:10.1089/ars.2019.7942
摘要

Significance: The epigenomic/metabolic landscape in cancer has been studied extensively in the past decade and forms the basis of various drug targets. Yet, cancer treatment remains a challenge, with clinical trials exhibiting limited efficacy and high relapse rates. Patients respond differently to therapy, which is fundamentally attributed to tumor heterogeneity, both across and within tumors. This review focuses on the interactions between the heterogeneous tumor microenvironment (TME) and the epigenomic/metabolic axis in cancer, as well as the emerging technologies under development to aid heterogeneity studies. Recent Advances: Interlinks between epigenetics and metabolism in cancer have been reported. Emerging studies have unveiled interactions between the TME and cancer cells that play a critical role in regulating epigenetics and reprogramming cancer metabolism, suggesting a three-way cross talk. Critical Issues: This cross talk accentuates the multiplex nature of cancer, and the importance of considering tumor heterogeneity in various epigenomic/metabolic cancer studies. Future Directions: With the advancement in single-cell profiling, it may be possible to identify cancer subclones and their unique vulnerabilities to develop a multimodal therapy. Drugs targeting the TME are currently being studied, and a better understanding of the TME in regulating cancer epigenetics and metabolism may hold the key to identifying novel therapeutic targets.
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