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肿瘤细胞及其微环境的代谢重编程:超越沃伯格效应。

Metabolic reprogramming for cancer cells and their microenvironment: Beyond the Warburg Effect.

机构信息

Laboratory of Cancer and Stem Cell metabolism, Guangzhou First Hospital, School of Medicine, South China University of Technology, Guangzhou 510006, China; CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Life Sciences, University of Science and Technology of China, Hefei 230027, China.

Laboratory of Cancer and Stem Cell metabolism, Guangzhou First Hospital, School of Medicine, South China University of Technology, Guangzhou 510006, China.

出版信息

Biochim Biophys Acta Rev Cancer. 2018 Aug;1870(1):51-66. doi: 10.1016/j.bbcan.2018.06.005. Epub 2018 Jun 28.

Abstract

While metabolic reprogramming of cancer cells has long been considered from the standpoint of how and why cancer cells preferentially utilize glucose via aerobic glycolysis, the so-called Warburg Effect, the progress in the following areas during the past several years has substantially advanced our understanding of the rewired metabolic network in cancer cells that is intertwined with oncogenic signaling. First, in addition to the major nutrient substrates glucose and glutamine, cancer cells have been discovered to utilize a variety of unconventional nutrient sources for survival. Second, the deregulated biomass synthesis is intertwined with cell cycle progression to coordinate the accelerated progression of cancer cells. Third, the reciprocal regulation of cancer cell's metabolic alterations and the microenvironment, involving extensive host immune cells and microbiota, have come into view as critical mechanisms to regulate cancer progression. These and other advances are shaping the current and future paradigm of cancer metabolism.

摘要

虽然长期以来,人们一直从癌症细胞如何以及为何通过有氧糖酵解(即所谓的“瓦博格效应”)优先利用葡萄糖的角度来考虑癌症细胞的代谢重编程,但在过去几年中,以下几个方面的进展极大地促进了我们对与致癌信号交织在一起的癌细胞中重新布线的代谢网络的理解。首先,除了主要的营养底物葡萄糖和谷氨酰胺外,人们还发现癌细胞为了生存而利用各种非常规的营养来源。其次,失调的生物量合成与细胞周期进程交织在一起,以协调癌细胞的快速进展。第三,癌细胞代谢变化与微环境的相互调节,包括广泛的宿主免疫细胞和微生物群,已被视为调节癌症进展的关键机制。这些以及其他进展正在塑造当前和未来的癌症代谢模式。

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