Compensatory metabolic networks in pancreatic cancers upon perturbation of glutamine metabolism.
Compensatory metabolic networks in pancreatic cancers upon perturbation of glutamine metabolism.
复制标题
胰腺代谢扰动后胰腺癌中的代偿代谢网络。
DOI:
10.1038/ncomms15965
复制
发表时间:
2017-07-03
影响因子:
16.6
通讯作者:
Kimmelman AC
中科院分区:
文献类型:
--
作者:
Biancur DE;Paulo JA;Małachowska B;Quiles Del Rey M;Sousa CM;Wang X;Sohn ASW;Chu GC;Gygi SP;Harper JW;Fendler W;Mancias JD;Kimmelman AC
Pancreatic ductal adenocarcinoma is a notoriously difficult-to-treat cancer and patients are in need of novel therapies. We have shown previously that these tumours have altered metabolic requirements, making them highly reliant on a number of adaptations including a non-canonical glutamine (Gln) metabolic pathway and that inhibition of downstream components of Gln metabolism leads to a decrease in tumour growth. Here we test whether recently developed inhibitors of glutaminase (GLS), which mediates an early step in Gln metabolism, represent a viable therapeutic strategy. We show that despite marked early effects on in vitro proliferation caused by GLS inhibition, pancreatic cancer cells have adaptive metabolic networks that sustain proliferation in vitro and in vivo. We use an integrated metabolomic and proteomic platform to understand this adaptive response and thereby design rational combinatorial approaches. We demonstrate that pancreatic cancer metabolism is adaptive and that targeting Gln metabolism in combination with these adaptive responses may yield clinical benefits for patients. Glutaminase inhibition (GLSi) has promising activity against certain cancers. Here, the authors show that GLSi has no effect on multiple mouse models of pancreatic cancer and characterize the metabolic pathways activated in response to GLSi whose concomitant inhibition may have therapeutic utility.
登录
查看更多内容
影响因子:
9.9
作者:
Gaglio, Daniela;Metallo, Christian M.;Chiaradonna, Ferdinando
通讯作者:
Chiaradonna, Ferdinando
影响因子:
5.7
作者:
Gross, Matt I.;Demo, Susan D.;Bennett, Mark K.
通讯作者:
Bennett, Mark K.
影响因子:
64.5
作者:
Chio IIC;Jafarnejad SM;Ponz-Sarvise M;Park Y;Rivera K;Palm W;Wilson J;Sangar V;Hao Y;Öhlund D;Wright K;Filippini D;Lee EJ;Da Silva B;Schoepfer C;Wilkinson JE;Buscaglia JM;DeNicola GM;Tiriac H;Hammell M;Crawford HC;Schmidt EE;Thompson CB;Pappin DJ;Sonenberg N;Tuveson DA
通讯作者:
Tuveson DA
影响因子:
13.8
作者:
Bryant, Kirsten L.;Mancias, Joseph D.;Kimmelman, Alec C.;Der, Channing J.
通讯作者:
Der, Channing J.
影响因子:
5.9
作者:
Chakrabarti G;Moore ZR;Luo X;Ilcheva M;Ali A;Padanad M;Zhou Y;Xie Y;Burma S;Scaglioni PP;Cantley LC;DeBerardinis RJ;Kimmelman AC;Lyssiotis CA;Boothman DA
通讯作者:
Boothman DA