Literature DB >> 30679390

Combined MEK and BCL-2/XL Inhibition Is Effective in High-Grade Serous Ovarian Cancer Patient-Derived Xenograft Models and BIM Levels Are Predictive of Responsiveness.

Claudia Iavarone1, Ioannis K Zervantonakis1, Laura M Selfors1, Sangeetha Palakurthi2, Joyce F Liu3, Ronny Drapkin4, Ursula A Matulonis3, Dorothy Hallberg5, Victor E Velculescu5, Joel D Leverson6, Deepak Sampath7, Gordon B Mills8, Joan S Brugge9.   

Abstract

Most patients with late-stage high-grade serous ovarian cancer (HGSOC) initially respond to chemotherapy but inevitably relapse and develop resistance, highlighting the need for novel therapies to improve patient outcomes. The MEK/ERK pathway is activated in a large subset of HGSOC, making it an attractive therapeutic target. Here, we systematically evaluated the extent of MEK/ERK pathway activation and efficacy of pathway inhibition in a large panel of well-annotated HGSOC patient-derived xenograft models. The vast majority of models were nonresponsive to the MEK inhibitor cobimetinib (GDC-0973) despite effective pathway inhibition. Proteomic analyses of adaptive responses to GDC-0973 revealed that GDC-0973 upregulated the proapoptotic protein BIM, thus priming the cells for apoptosis regulated by BCL2-family proteins. Indeed, combination of both MEK inhibitor and dual BCL-2/XL inhibitor (ABT-263) significantly reduced cell number, increased cell death, and displayed synergy in vitro in most models. In vivo, GDC-0973 and ABT-263 combination was well tolerated and resulted in greater tumor growth inhibition than single agents. Detailed proteomic and correlation analyses identified two subsets of responsive models-those with high BIM at baseline that was increased with MEK inhibition and those with low basal BIM and high pERK levels. Models with low BIM and low pERK were nonresponsive. Our findings demonstrate that combined MEK and BCL-2/XL inhibition has therapeutic activity in HGSOC models and provide a mechanistic rationale for the clinical evaluation of this drug combination as well as the assessment of the extent to which BIM and/or pERK levels predict drug combination effectiveness in chemoresistant HGSOC. ©2019 American Association for Cancer Research.

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Year:  2019        PMID: 30679390      PMCID: PMC6399746          DOI: 10.1158/1535-7163.MCT-18-0413

Source DB:  PubMed          Journal:  Mol Cancer Ther        ISSN: 1535-7163            Impact factor:   6.261


  55 in total

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Journal:  Cancer Chemother Pharmacol       Date:  2014-11-25       Impact factor: 3.333

Review 3.  Low Grade Serous Ovarian Carcinoma: from the molecular characterization to the best therapeutic strategy.

Authors:  Chiara Della Pepa; Giuseppe Tonini; Daniele Santini; Simona Losito; Carmela Pisano; Marilena Di Napoli; Sabrina Chiara Cecere; Piera Gargiulo; Sandro Pignata
Journal:  Cancer Treat Rev       Date:  2014-12-23       Impact factor: 12.111

4.  Rational combination therapy with PARP and MEK inhibitors capitalizes on therapeutic liabilities in RAS mutant cancers.

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Review 6.  Combination chemical genetics.

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Review 7.  MEK1 and MEK2 inhibitors and cancer therapy: the long and winding road.

Authors:  Christopher J Caunt; Matthew J Sale; Paul D Smith; Simon J Cook
Journal:  Nat Rev Cancer       Date:  2015-10       Impact factor: 60.716

8.  Evaluating cell lines as tumour models by comparison of genomic profiles.

Authors:  Silvia Domcke; Rileen Sinha; Douglas A Levine; Chris Sander; Nikolaus Schultz
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

9.  Systems analysis of apoptotic priming in ovarian cancer identifies vulnerabilities and predictors of drug response.

Authors:  Ioannis K Zervantonakis; Claudia Iavarone; Hsing-Yu Chen; Laura M Selfors; Sangeetha Palakurthi; Joyce F Liu; Ronny Drapkin; Ursula Matulonis; Joel D Leverson; Deepak Sampath; Gordon B Mills; Joan S Brugge
Journal:  Nat Commun       Date:  2017-08-28       Impact factor: 14.919

10.  A phase 1 dose-escalation and expansion study of binimetinib (MEK162), a potent and selective oral MEK1/2 inhibitor.

Authors:  Johanna C Bendell; Milind Javle; Tanios S Bekaii-Saab; Richard S Finn; Zev A Wainberg; Daniel A Laheru; Colin D Weekes; Benjamin R Tan; Gazala N Khan; Mark M Zalupski; Jeffrey R Infante; Suzanne Jones; Kyriakos P Papadopoulos; Anthony W Tolcher; Renae E Chavira; Janna L Christy-Bittel; Emma Barrett; Amita Patnaik
Journal:  Br J Cancer       Date:  2017-02-02       Impact factor: 7.640

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  12 in total

1.  Pooled Genomic Screens Identify Anti-apoptotic Genes as Targetable Mediators of Chemotherapy Resistance in Ovarian Cancer.

Authors:  Elizabeth H Stover; Maria B Baco; Ofir Cohen; Yvonne Y Li; Elizabeth L Christie; Mukta Bagul; Amy Goodale; Yenarae Lee; Sasha Pantel; Matthew G Rees; Guo Wei; Adam G Presser; Maya K Gelbard; Weiqun Zhang; Ioannis K Zervantonakis; Patrick D Bhola; Jeremy Ryan; Jennifer L Guerriero; Joan Montero; Felice J Liang; Andrew D Cherniack; Federica Piccioni; Ursula A Matulonis; David D L Bowtell; Kristopher A Sarosiek; Anthony Letai; Levi A Garraway; Cory M Johannessen; Matthew Meyerson
Journal:  Mol Cancer Res       Date:  2019-08-28       Impact factor: 5.852

Review 2.  Proteomics advances for precision therapy in ovarian cancer.

Authors:  Marilyne Labrie; Nicholas D Kendsersky; Hongli Ma; Lydia Campbell; Jennifer Eng; Koei Chin; Gordon B Mills
Journal:  Expert Rev Proteomics       Date:  2019-09-13       Impact factor: 3.940

3.  Targeting enhancer reprogramming to mitigate MEK inhibitor resistance in preclinical models of advanced ovarian cancer.

Authors:  Shini Liu; Qiong Zou; Jie-Ping Chen; Xiaosai Yao; Peiyong Guan; Weiting Liang; Peng Deng; Xiaowei Lai; Jiaxin Yin; Jinghong Chen; Rui Chen; Zhaoliang Yu; Rong Xiao; Yichen Sun; Jing Han Hong; Hui Liu; Huaiwu Lu; Jianfeng Chen; Jin-Xin Bei; Joanna Koh; Jason Yongsheng Chan; Baohua Wang; Tiebang Kang; Qiang Yu; Bin-Tean Teh; Jihong Liu; Ying Xiong; Jing Tan
Journal:  J Clin Invest       Date:  2021-10-15       Impact factor: 14.808

Review 4.  Therapy resistance: opportunities created by adaptive responses to targeted therapies in cancer.

Authors:  Marilyne Labrie; Joan S Brugge; Gordon B Mills; Ioannis K Zervantonakis
Journal:  Nat Rev Cancer       Date:  2022-03-09       Impact factor: 69.800

Review 5.  Targeting apoptosis in cancer therapy.

Authors:  Benedito A Carneiro; Wafik S El-Deiry
Journal:  Nat Rev Clin Oncol       Date:  2020-03-23       Impact factor: 66.675

Review 6.  Bcl‑2 family: Novel insight into individualized therapy for ovarian cancer (Review).

Authors:  Jing Yuan; Hua Lan; Xiaoyan Jiang; Da Zeng; Songshu Xiao
Journal:  Int J Mol Med       Date:  2020-07-29       Impact factor: 4.101

Review 7.  Ovarian Cancer Dissemination-A Cell Biologist's Perspective.

Authors:  Sadaf Farsinejad; Thomas Cattabiani; Taru Muranen; Marcin Iwanicki
Journal:  Cancers (Basel)       Date:  2019-12-06       Impact factor: 6.639

Review 8.  The application of BH3 mimetics in myeloid leukemias.

Authors:  Narissa Parry; Helen Wheadon; Mhairi Copland
Journal:  Cell Death Dis       Date:  2021-02-26       Impact factor: 8.469

9.  Matched Targeted Therapy for Pediatric Patients with Relapsed, Refractory, or High-Risk Leukemias: A Report from the LEAP Consortium.

Authors:  Yana Pikman; Sarah K Tasian; Maria Luisa Sulis; Kristen Stevenson; Traci M Blonquist; Beth Apsel Winger; Todd M Cooper; Melinda Pauly; Kelly W Maloney; Michael J Burke; Patrick A Brown; Nathan Gossai; Jennifer L McNeer; Neerav N Shukla; Peter D Cole; Justine M Kahn; Jing Chen; Matthew J Barth; Jeffrey A Magee; Lisa Gennarini; Asmani A Adhav; Catherine M Clinton; Nicole Ocasio-Martinez; Giacomo Gotti; Yuting Li; Shan Lin; Alma Imamovic; Cristina E Tognon; Tasleema Patel; Haley L Faust; Cristina F Contreras; Anjali Cremer; Wilian A Cortopassi; Diego Garrido Ruiz; Matthew P Jacobson; Neekesh V Dharia; Angela Su; Amanda L Robichaud; Amy Saur Conway; Katherine Tarlock; Elliot Stieglitz; Andrew E Place; Alexandre Puissant; Stephen P Hunger; Annette S Kim; Neal I Lindeman; Lia Gore; Katherine A Janeway; Lewis B Silverman; Jeffrey W Tyner; Marian H Harris; Mignon L Loh; Kimberly Stegmaier
Journal:  Cancer Discov       Date:  2021-02-09       Impact factor: 38.272

10.  Development of a 3D functional assay and identification of biomarkers, predictive for response of high-grade serous ovarian cancer (HGSOC) patients to poly-ADP ribose polymerase inhibitors (PARPis): targeted therapy.

Authors:  Razan Sheta; Magdalena Bachvarova; Marie Plante; Marie-Claude Renaud; Alexandra Sebastianelli; Jean Gregoire; Jamilet Miranda Navarro; Ricardo Bringas Perez; Jean-Yves Masson; Dimcho Bachvarov
Journal:  J Transl Med       Date:  2020-11-19       Impact factor: 5.531

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