| Literature DB >> 25168481 |
Shan Gao1, Ilirjana Bajrami2, Clare Verrill3, Asha Kigozi2, Djamila Ouaret1, Tamara Aleksic1, Ruth Asher3, Cheng Han1, Paul Allen4, Deborah Bailey4, Stephan Feller1, Takeshi Kashima1, Nicholas Athanasou5, Jean-Yves Blay6, Sandra Schmitz7, Jean-Pascal Machiels7, Nav Upile8, Terry M Jones8, George Thalmann9, Shazad Q Ashraf1, Jennifer L Wilding1, Walter F Bodmer1, Mark R Middleton10, Alan Ashworth2, Christopher J Lord2, Valentine M Macaulay11.
Abstract
Drugs that inhibit insulin-like growth factor 1 (IGFI) receptor IGFIR were encouraging in early trials, but predictive biomarkers were lacking and the drugs provided insufficient benefit in unselected patients. In this study, we used genetic screening and downstream validation to identify the WNT pathway element DVL3 as a mediator of resistance to IGFIR inhibition. Sensitivity to IGFIR inhibition was enhanced specifically in vitro and in vivo by genetic or pharmacologic blockade of DVL3. In breast and prostate cancer cells, sensitization tracked with enhanced MEK-ERK activation and relied upon MEK activity and DVL3 expression. Mechanistic investigations showed that DVL3 is present in an adaptor complex that links IGFIR to RAS, which includes Shc, growth factor receptor-bound-2 (Grb2), son-of-sevenless (SOS), and the tumor suppressor DAB2. Dual DVL and DAB2 blockade synergized in activating ERKs and sensitizing cells to IGFIR inhibition, suggesting a nonredundant role for DVL3 in the Shc-Grb2-SOS complex. Clinically, tumors that responded to IGFIR inhibition contained relatively lower levels of DVL3 protein than resistant tumors, and DVL3 levels in tumors correlated inversely with progression-free survival in patients treated with IGFIR antibodies. Because IGFIR does not contain activating mutations analogous to EGFR variants associated with response to EGFR inhibitors, we suggest that IGF signaling achieves an equivalent integration at the postreceptor level through adaptor protein complexes, influencing cellular dependence on the IGF axis and identifying a patient population with potential to benefit from IGFIR inhibition. ©2014 American Association for Cancer Research.Entities:
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Year: 2014 PMID: 25168481 DOI: 10.1158/0008-5472.CAN-14-0806
Source DB: PubMed Journal: Cancer Res ISSN: 0008-5472 Impact factor: 12.701