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Lang JD, Hendricks WPD, Orlando KA, Yin H, Kiefer J, Ramos P, Sharma R, Pirrotte P, Raupach EA, Sereduk C, Tang N, Liang WS, Washington M, Facista SJ, Zismann VL, Cousins EM, Major MB, Wang Y, Karnezis AN, Sekulic A, Hass R, Vanderhyden BC, Nair P, Weissman BE, Huntsman DG, Trent JM. Ponatinib Shows Potent Antitumor Activity in Small Cell Carcinoma of the Ovary Hypercalcemic Type (SCCOHT) through Multikinase Inhibition. Clin Cancer Res 2018; 24:1932-1943. [PMID: 29440177 DOI: 10.1158/1078-0432.ccr-17-1928] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Revised: 11/27/2017] [Accepted: 02/02/2018] [Indexed: 11/16/2022]
Abstract
Purpose: Small cell carcinoma of the ovary, hypercalcemic type (SCCOHT) is a rare, aggressive ovarian cancer in young women that is universally driven by loss of the SWI/SNF ATPase subunits SMARCA4 and SMARCA2. A great need exists for effective targeted therapies for SCCOHT.Experimental Design: To identify underlying therapeutic vulnerabilities in SCCOHT, we conducted high-throughput siRNA and drug screens. Complementary proteomics approaches profiled kinases inhibited by ponatinib. Ponatinib was tested for efficacy in two patient-derived xenograft (PDX) models and one cell-line xenograft model of SCCOHT.Results: The receptor tyrosine kinase (RTK) family was enriched in siRNA screen hits, with FGFRs and PDGFRs being overlapping hits between drug and siRNA screens. Of multiple potent drug classes in SCCOHT cell lines, RTK inhibitors were only one of two classes with selectivity in SCCOHT relative to three SWI/SNF wild-type ovarian cancer cell lines. We further identified ponatinib as the most effective clinically approved RTK inhibitor. Reexpression of SMARCA4 was shown to confer a 1.7-fold increase in resistance to ponatinib. Subsequent proteomic assessment of ponatinib target modulation in SCCOHT cell models confirmed inhibition of nine known ponatinib target kinases alongside 77 noncanonical ponatinib targets in SCCOHT. Finally, ponatinib delayed tumor doubling time 4-fold in SCCOHT-1 xenografts while reducing final tumor volumes in SCCOHT PDX models by 58.6% and 42.5%.Conclusions: Ponatinib is an effective agent for SMARCA4-mutant SCCOHT in both in vitro and in vivo preclinical models through its inhibition of multiple kinases. Clinical investigation of this FDA-approved oncology drug in SCCOHT is warranted. Clin Cancer Res; 24(8); 1932-43. ©2018 AACR.
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Affiliation(s)
- Jessica D Lang
- Division of Integrated Cancer Genomics, Translational Genomics Research Institute (TGen), Phoenix, Arizona
| | - William P D Hendricks
- Division of Integrated Cancer Genomics, Translational Genomics Research Institute (TGen), Phoenix, Arizona
| | - Krystal A Orlando
- Department of Pathology and Laboratory Medicine, Lineberger Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Hongwei Yin
- Division of Integrated Cancer Genomics, Translational Genomics Research Institute (TGen), Phoenix, Arizona
| | - Jeffrey Kiefer
- Division of Integrated Cancer Genomics, Translational Genomics Research Institute (TGen), Phoenix, Arizona
| | - Pilar Ramos
- Division of Integrated Cancer Genomics, Translational Genomics Research Institute (TGen), Phoenix, Arizona
| | - Ritin Sharma
- Collaborative Center for Translational Mass Spectrometry, Translational Genomics Research Institute (TGen), Phoenix, Arizona
| | - Patrick Pirrotte
- Collaborative Center for Translational Mass Spectrometry, Translational Genomics Research Institute (TGen), Phoenix, Arizona
| | - Elizabeth A Raupach
- Division of Integrated Cancer Genomics, Translational Genomics Research Institute (TGen), Phoenix, Arizona.,Collaborative Center for Translational Mass Spectrometry, Translational Genomics Research Institute (TGen), Phoenix, Arizona
| | - Chris Sereduk
- Division of Integrated Cancer Genomics, Translational Genomics Research Institute (TGen), Phoenix, Arizona
| | - Nanyun Tang
- Division of Integrated Cancer Genomics, Translational Genomics Research Institute (TGen), Phoenix, Arizona
| | - Winnie S Liang
- Division of Integrated Cancer Genomics, Translational Genomics Research Institute (TGen), Phoenix, Arizona
| | - Megan Washington
- Division of Integrated Cancer Genomics, Translational Genomics Research Institute (TGen), Phoenix, Arizona
| | - Salvatore J Facista
- Division of Integrated Cancer Genomics, Translational Genomics Research Institute (TGen), Phoenix, Arizona
| | - Victoria L Zismann
- Division of Integrated Cancer Genomics, Translational Genomics Research Institute (TGen), Phoenix, Arizona
| | - Emily M Cousins
- Department of Cell Biology and Physiology, Lineberger Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Michael B Major
- Department of Cell Biology and Physiology, Lineberger Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Yemin Wang
- Department of Pathology and Laboratory Medicine, University of British Columbia and Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada
| | - Anthony N Karnezis
- Department of Pathology and Laboratory Medicine, University of British Columbia and Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada
| | - Aleksandar Sekulic
- Division of Integrated Cancer Genomics, Translational Genomics Research Institute (TGen), Phoenix, Arizona.,Department of Dermatology, Mayo Clinic, Scottsdale, Arizona
| | - Ralf Hass
- Department of Obstetrics and Gynecology, Hannover Medical School, Hannover, Germany
| | - Barbara C Vanderhyden
- Department of Cellular and Molecular Medicine, University of Ottawa, and Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | | | - Bernard E Weissman
- Department of Pathology and Laboratory Medicine, Lineberger Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - David G Huntsman
- Department of Pathology and Laboratory Medicine, University of British Columbia and Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, British Columbia, Canada.,Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jeffrey M Trent
- Division of Integrated Cancer Genomics, Translational Genomics Research Institute (TGen), Phoenix, Arizona.
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Cousins EM, Goldfarb D, Yan F, Roques J, Darr D, Johnson GL, Major MB. Competitive Kinase Enrichment Proteomics Reveals that Abemaciclib Inhibits GSK3β and Activates WNT Signaling. Mol Cancer Res 2018; 16:333-344. [PMID: 29133594 PMCID: PMC5805620 DOI: 10.1158/1541-7786.mcr-17-0468] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Revised: 10/17/2017] [Accepted: 11/01/2017] [Indexed: 11/16/2022]
Abstract
The cellular and organismal phenotypic response to a small-molecule kinase inhibitor is defined collectively by the inhibitor's targets and their functions. The selectivity of small-molecule kinase inhibitors is commonly determined in vitro, using purified kinases and substrates. Recently, competitive chemical proteomics has emerged as a complementary, unbiased, cell-based methodology to define the target landscape of kinase inhibitors. Here, we evaluated and optimized a competitive multiplexed inhibitor bead mass spectrometry (MIB/MS) platform using cell lysates, live cells, and treated mice. Several clinically active kinase inhibitors were profiled, including trametinib, BMS-777607, dasatinib, abemaciclib, and palbociclib. MIB/MS competition analyses of the cyclin-dependent kinase 4 and 6 (CDK4/6) inhibitors abemaciclib and palbociclib revealed overlapping and unique kinase targets. Competitive MIB/MS analysis of abemaciclib revealed 83 target kinases, and dose-response MIB/MS profiling revealed glycogen synthase kinase 3 alpha and beta (GSK3α and β) and Ca2+/calmodulin-dependent protein kinase II delta and gamma (CAMKIIδ and γ) as the most potently inhibited. Cell-based and in vitro kinase assays show that in contrast to palbociclib, abemaciclib directly inhibits GSK3α/β and CAMKIIγ/δ kinase activity at low nanomolar concentrations. GSK3β phosphorylates β-catenin to suppress WNT signaling, while abemaciclib (but not palbociclib or ribociclib) potently activates β-catenin-dependent WNT signaling. These data illustrate the power of competitive chemical proteomics to define kinase target specificities for kinase inhibitors, thus informing clinical efficacy, dose-limiting toxicities, and drug-repurposing efforts.Implications: This study uses a rapid and quantitative proteomics approach to define inhibitor-target data for commonly administered therapeutics and provides a cell-based alternative to in vitro kinome profiling. Mol Cancer Res; 16(2); 333-44. ©2017 AACR.
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Affiliation(s)
- Emily M Cousins
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Dennis Goldfarb
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Feng Yan
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Jose Roques
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - David Darr
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Gary L Johnson
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Pharmacology, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Michael B Major
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Pharmacology, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
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