Epigenetic silencing of microRNA-137 enhances ASCT2 expression and tumor glutamine metabolism.
Epigenetic silencing of microRNA-137 enhances ASCT2 expression and tumor glutamine metabolism.
复制标题
microRNA-137的表观遗传沉默增强ASCT2表达和肿瘤谷氨酰胺代谢
DOI:
10.1038/oncsis.2017.59
复制
发表时间:
2017-07-10
期刊:
影响因子:
6.2
通讯作者:
Qing G
中科院分区:
文献类型:
--
作者:
Dong J;Xiao D;Zhao Z;Ren P;Li C;Hu Y;Shi J;Su H;Wang L;Liu H;Li B;Gao P;Qing G
Tumor cells must activate specific transporters to meet their increased glutamine metabolic demands. Relative to other glutamine transporters, the ASC family transporter 2 (ASCT2, also called SLC1A5) is profoundly elevated in a wide spectrum of human cancers to coordinate metabolic reprogramming and malignant transformation. Understanding the molecular mechanisms whereby tumor cells frequently upregulate this transporter is therefore vital to develop potential strategies for transporter-targeted therapies. Combining in-silico algorithms with systemic experimental screening, we herein identify the tumor suppressor microRNA, miR-137, as an essential regulator that targets ASCT2 and cancer cell glutamine metabolism. Metabolic analysis shows that miR-137 derepression, similar to ASCT2 inactivation, significantly inhibits glutamine consumption and TCA cycle anaplerosis. Mechanistically, methyl-CpG-binding protein 2 (MeCP2) and DNA methyltransferases (DNMTs) cooperate to promote active methylation of the miR-137 promoter and inhibit its transcription, conversely reactivating ASCT2 expression and glutamine metabolism. Moreover, expression between miR-137 and ASCT2 is inversely correlated in tumor specimens from multiple cancer types, and ectopic ASCT2 expression markedly rescued miR-137 suppression of tumorigenesis. These findings thus elucidate a previously unreported mechanism responsible for ASCT2 deregulation in human cancers and identify ASCT2 as a critical downstream effector of miR-137, revealing a molecular link between DNA methylation, microRNA and tumor metabolism.
登录
查看更多内容
影响因子:
29
作者:
Pavlova NN;Thompson CB
通讯作者:
Thompson CB
影响因子:
21.3
作者:
Cox AG;Hwang KL;Brown KK;Evason K;Beltz S;Tsomides A;O'Connor K;Galli GG;Yimlamai D;Chhangawala S;Yuan M;Lien EC;Wucherpfennig J;Nissim S;Minami A;Cohen DE;Camargo FD;Asara JM;Houvras Y;Stainier DYR;Goessling W
通讯作者:
Goessling W
影响因子:
64.8
作者:
Jiang L;Shestov AA;Swain P;Yang C;Parker SJ;Wang QA;Terada LS;Adams ND;McCabe MT;Pietrak B;Schmidt S;Metallo CM;Dranka BP;Schwartz B;DeBerardinis RJ
通讯作者:
DeBerardinis RJ
影响因子:
7.3
作者:
Ren, Ping;Yue, Ming;Qing, Guoliang
通讯作者:
Qing, Guoliang
影响因子:
8.8
作者:
Neault, Mathieu;Mallette, Frederick A.;Richard, Stephane
通讯作者:
Richard, Stephane