| Literature DB >> 29472518 |
Filip Mundt1, Sandeep Rajput2, Shunqiang Li2, Kelly V Ruggles3, Arshag D Mooradian2, Philipp Mertins1,4, Michael A Gillette1,5, Karsten Krug1, Zhanfang Guo2, Jeremy Hoog2, Petra Erdmann-Gilmore2, Tina Primeau2, Shixia Huang6, Dean P Edwards6, Xiaowei Wang7, Xuya Wang8, Emily Kawaler8, D R Mani1, Karl R Clauser1, Feng Gao9, Jingqin Luo9, Sherri R Davies2, Gary L Johnson10, Kuan-Lin Huang11, Christopher J Yoon11, Li Ding11, David Fenyö8, Matthew J Ellis12, R Reid Townsend2, Jason M Held2, Steven A Carr13, Cynthia X Ma14.
Abstract
Activation of PI3K signaling is frequently observed in triple-negative breast cancer (TNBC), yet PI3K inhibitors have shown limited clinical activity. To investigate intrinsic and adaptive mechanisms of resistance, we analyzed a panel of patient-derived xenograft models of TNBC with varying responsiveness to buparlisib, a pan-PI3K inhibitor. In a subset of patient-derived xenografts, resistance was associated with incomplete inhibition of PI3K signaling and upregulated MAPK/MEK signaling in response to buparlisib. Outlier phosphoproteome and kinome analyses identified novel candidates functionally important to buparlisib resistance, including NEK9 and MAP2K4. Knockdown of NEK9 or MAP2K4 reduced both baseline and feedback MAPK/MEK signaling and showed synthetic lethality with buparlisib in vitro A complex in/del frameshift in PIK3CA decreased sensitivity to buparlisib via NEK9/MAP2K4-dependent mechanisms. In summary, our study supports a role for NEK9 and MAP2K4 in mediating buparlisib resistance and demonstrates the value of unbiased omic analyses in uncovering resistance mechanisms to targeted therapy.Significance: Integrative phosphoproteogenomic analysis is used to determine intrinsic resistance mechanisms of triple-negative breast tumors to PI3K inhibition. Cancer Res; 78(10); 2732-46. ©2018 AACR. ©2018 American Association for Cancer Research.Entities:
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Year: 2018 PMID: 29472518 PMCID: PMC5955814 DOI: 10.1158/0008-5472.CAN-17-1990
Source DB: PubMed Journal: Cancer Res ISSN: 0008-5472 Impact factor: 12.701