mTORC2 Signaling Drives the Development and Progression of Pancreatic Cancer

David R. Driscoll(University of Massachusetts Chan Medical School), Saadia A. Karim(Cancer Research UK Scotland Institute), Makoto Sano(Nihon University), David M. Gay(Cancer Research UK Scotland Institute), Wright Jacob(University of Glasgow), Jun Yu(University of Massachusetts Chan Medical School), Yusuke Mizukami(Massachusetts General Hospital), Aarthi Gopinathan(Alzheimer’s Research UK), Duncan I. Jodrell(Alzheimer’s Research UK), T.R. Jeffry Evans(Cancer Research UK Scotland Institute), Nabeel Bardeesy(Massachusetts General Hospital), Michael N. Hall(University of Basel), Brian Quattrochi(University of Massachusetts Chan Medical School), David S. Klimstra(Memorial Sloan Kettering Cancer Center), Simon T. Barry(Macclesfield College), Owen J. Sansom(Cancer Research UK Scotland Institute), Brian C. Lewis(University of Massachusetts Chan Medical School), Jennifer P. Morton(Cancer Research UK Scotland Institute)
Cancer Research
October 6, 2016
Cited by 71Open Access
Full Text

Abstract

mTOR signaling controls several critical cellular functions and is deregulated in many cancers, including pancreatic cancer. To date, most efforts have focused on inhibiting the mTORC1 complex. However, clinical trials of mTORC1 inhibitors in pancreatic cancer have failed, raising questions about this therapeutic approach. We employed a genetic approach to delete the obligate mTORC2 subunit Rictor and identified the critical times during which tumorigenesis requires mTORC2 signaling. Rictor deletion resulted in profoundly delayed tumorigenesis. Whereas previous studies showed most pancreatic tumors were insensitive to rapamycin, treatment with a dual mTORC1/2 inhibitor strongly suppressed tumorigenesis. In late-stage tumor-bearing mice, combined mTORC1/2 and PI3K inhibition significantly increased survival. Thus, targeting mTOR may be a potential therapeutic strategy in pancreatic cancer. Cancer Res; 76(23); 6911-23. ©2016 AACR.


Related Papers

No related papers found

Powered by citation graph analysis