代谢组
可药性
表观遗传学
代谢组学
癌症
癌症研究
癌细胞系
癌细胞
生物
计算生物学
生物信息学
遗传学
基因
作者
Haoxin Li,Shaoyang Ning,Mahmoud Ghandi,Gregory V. Kryukov,Shuba Gopal,Amy Deik,Amanda Souza,Kerry A. Pierce,Paula Keskula,Desiree Hernandez,Julie Ann,Dojna Shkoza,Verena Apfel,Yilong Zou,Francisca Vázquez,Jordi Barretina,Raymond Pagliarini,Giorgio Giacomo Galli,David E. Root,William C. Hahn
出处
期刊:Nature Medicine
[Nature Portfolio]
日期:2019-05-01
卷期号:25 (5): 850-860
被引量:453
标识
DOI:10.1038/s41591-019-0404-8
摘要
Despite considerable efforts to identify cancer metabolic alterations that might unveil druggable vulnerabilities, systematic characterizations of metabolism as it relates to functional genomic features and associated dependencies remain uncommon. To further understand the metabolic diversity of cancer, we profiled 225 metabolites in 928 cell lines from more than 20 cancer types in the Cancer Cell Line Encyclopedia (CCLE) using liquid chromatography-mass spectrometry (LC-MS). This resource enables unbiased association analysis linking the cancer metabolome to genetic alterations, epigenetic features and gene dependencies. Additionally, by screening barcoded cell lines, we demonstrated that aberrant ASNS hypermethylation sensitizes subsets of gastric and hepatic cancers to asparaginase therapy. Finally, our analysis revealed distinct synthesis and secretion patterns of kynurenine, an immune-suppressive metabolite, in model cancer cell lines. Together, these findings and related methodology provide comprehensive resources that will help clarify the landscape of cancer metabolism.
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