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科学家总结肿瘤代谢异质性的机制和意义
作者:小柯机器人 发布时间:2019/9/4 15:00:15

美国德克萨斯大学西南医学中心Ralph J. DeBerardinis等研究人员在2019年9月3日出版的《细胞—代谢》上发表了综述,在这篇综述中他们总结了肿瘤代谢异质性的机制和意义。

研究人员表示,肿瘤表现出代谢重塑的活性,从而促进癌症进展。

人们目前对控制体内肿瘤代谢的过程以及鉴定肿瘤代谢弱点的有效手段了解有限。虽然许多文献都侧重于刻板的、细胞自主的途径,如糖酵解,但最近的工作强调了肿瘤之间甚至在实体肿瘤的不同区域内的代谢的异质性和灵活性。代谢异质性很重要,因为它会影响治疗的弱点并可能预测临床结果。这篇综述描述了当前关于肿瘤代谢调节的概念,重点关注癌细胞固有的过程以及肿瘤微环境对癌细胞施加的因素。研究人员讨论了在临床前癌症模型中鉴定亚型选择性代谢弱点的实验方法。最后,研究人员总结了人们在原发性人类肿瘤中表征代谢的付出,这应该在临床相关微环境的背景下产生对代谢异质性的新见解。

附:英文原文

Title: Mechanisms and Implications of Metabolic Heterogeneity in Cancer

Author: Jiyeon Kim, Ralph J. DeBerardinis,et al

Issue&Volume: Volume 30 Issue 3

Abstract: Tumors display reprogrammed metabolic activities that promote cancer progression. We currently possess a limited understanding of the processes governing tumor metabolism in vivo and of the most efficient approaches to identify metabolic vulnerabilities susceptible to therapeutic targeting. While much of the literature focuses on stereotyped, cell-autonomous pathways like glycolysis, recent work emphasizes heterogeneity and flexibility of metabolism between tumors and even within distinct regions of solid tumors. Metabolic heterogeneity is important because it influences therapeutic vulnerabilities and may predict clinical outcomes. This Review describes current concepts about metabolic regulation in tumors, focusing on processes intrinsic to cancer cells and on factors imposed upon cancer cells by the tumor microenvironment. We discuss experimental approaches to identify subtype-selective metabolic vulnerabilities in preclinical cancer models. Finally, we describe efforts to characterize metabolism in primary human tumors, which should produce new insights into metabolic heterogeneity in the context of clinically relevant microenvironments.

DOI: https://doi.org/10.1016/j.cmet.2019.08.013

Source: https://www.cell.com/cell-metabolism/fulltext/S1550-4131(19)30442-5#

期刊信息

Cell Metabolism:《细胞—代谢》,创刊于2005年。隶属于细胞出版社,最新IF:22.415
官方网址:https://www.cell.com/cell-metabolism/home
投稿链接:https://www.editorialmanager.com/cell-metabolism/default.aspx