癌症
重编程
恶性肿瘤
肿瘤进展
代谢适应
癌症研究
生物
生物信息学
癌细胞
代谢网络
计算生物学
新陈代谢
遗传学
细胞
内分泌学
作者
Brandon Faubert,Ashley Solmonson,Ralph J. DeBerardinis
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2020-04-10
卷期号:368 (6487)
被引量:1064
标识
DOI:10.1126/science.aaw5473
摘要
Metabolic reprogramming is a hallmark of malignancy. As our understanding of the complexity of tumor biology increases, so does our appreciation of the complexity of tumor metabolism. Metabolic heterogeneity among human tumors poses a challenge to developing therapies that exploit metabolic vulnerabilities. Recent work also demonstrates that the metabolic properties and preferences of a tumor change during cancer progression. This produces distinct sets of vulnerabilities between primary tumors and metastatic cancer, even in the same patient or experimental model. We review emerging concepts about metabolic reprogramming in cancer, with particular attention on why metabolic properties evolve during cancer progression and how this information might be used to develop better therapeutic strategies.
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