代谢途径促进致癌原纤维细胞功能

IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Emily J. Kay , Sara Zanivan
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引用次数: 1

摘要

癌症相关成纤维细胞(CAFs)在支持肿瘤生长和进展中发挥着许多作用,并且已知代谢重布线是CAF激活的标志。然而,如何有效地靶向CAF代谢仍然是一个悬而未决的问题。最近的研究表明,CAFs和癌细胞参与复杂的代谢串扰,这可能为肿瘤和基质的代谢靶向提供策略。CAF代谢重布线还通过诱导表观遗传变化来维持CAF的激活,并通过促进CAF的标志,如细胞外基质(ECM)的产生和免疫抑制,调节CAF内在的产蛋白功能。最后,CAF亚群的新兴领域为代谢靶向特定的产蛋白亚群开辟了可能性,并提出了关于我们如何定义和靶向CAF的新问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metabolic pathways fuelling protumourigenic cancer-associated fibroblast functions

Cancer-associated fibroblasts (CAFs) play many roles in supporting tumour growth and progression, and metabolic rewiring is known to be a hallmark of CAF activation. How to effectively target CAF metabolism is still an open question, however. Recent research shows that CAFs and cancer cells engage in complex metabolic crosstalk, which may offer strategies to metabolically target both tumour and stroma. CAF metabolic rewiring also regulates intrinsic CAF protumourigenic functions, by inducing epigenetic changes to maintain CAF activation and by promoting hallmarks of CAFs such as extracellular matrix (ECM) production and immunosuppression. Finally, the emerging field of CAF subpopulations has opened up possibilities for metabolically targeting specific protumourigenic subgroups and raises new questions about how we define and target CAFs.

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来源期刊
Current Opinion in Systems Biology
Current Opinion in Systems Biology Mathematics-Applied Mathematics
CiteScore
7.10
自引率
2.70%
发文量
20
期刊介绍: Current Opinion in Systems Biology is a new systematic review journal that aims to provide specialists with a unique and educational platform to keep up-to-date with the expanding volume of information published in the field of Systems Biology. It publishes polished, concise and timely systematic reviews and opinion articles. In addition to describing recent trends, the authors are encouraged to give their subjective opinion on the topics discussed. As this is such a broad discipline, we have determined themed sections each of which is reviewed once a year. The following areas will be covered by Current Opinion in Systems Biology: -Genomics and Epigenomics -Gene Regulation -Metabolic Networks -Cancer and Systemic Diseases -Mathematical Modelling -Big Data Acquisition and Analysis -Systems Pharmacology and Physiology -Synthetic Biology -Stem Cells, Development, and Differentiation -Systems Biology of Mold Organisms -Systems Immunology and Host-Pathogen Interaction -Systems Ecology and Evolution
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