Cody J Peer1, Oliver M Hall1, Tristan M Sissung1, Richard Piekarz2, Sanjeeve Balasubramaniam3, Susan E Bates4, William D Figg5,6. 1. Clinical Pharmacology Program, CCR, National Cancer Institute, NIH, 10 Center Drive, Room 5A01, Bethesda, MD, 20892, USA. 2. Cancer Therapy Evaluation Program, National Cancer Institute, NIH, Bethesda, MD, 20892, USA. 3. Office of Hematology Oncology Products, US Food and Drug Administration, Silver Spring, MD, 20993, USA. 4. Department of Hematology and Oncology, Columbia University Medical Center, New York, NY, 10032, USA. 5. Clinical Pharmacology Program, CCR, National Cancer Institute, NIH, 10 Center Drive, Room 5A01, Bethesda, MD, 20892, USA. figgw@mail.nih.gov. 6. Genitourinary Malignancies Branch, National Cancer Institute, NIH, Bethesda, MD, 20892, USA. figgw@mail.nih.gov.
Abstract
PURPOSE: Belinostat is a second-generation histone deacetylase inhibitor (HDI) predominantly metabolized by UGT1A1-mediated glucuronidation. Two common polymorphisms (UGT1A1*28 and UGT1A1*60) were previously associated with impaired drug clearance and thrombocytopenia risk, likely from increased drug exposure. This latter phenomenon has been observed with other HDIs such as abexinostat, panobinostat, romidepsin, and vorinostat. It was the intention of this brief report to expand a population pharmacokinetic (PPK) model to include a pharmacodynamic (PD) model describing the change in platelet levels in patients with cancer administered belinostat as a 48-h continuous intravenous infusion, along with cisplatin and etoposide. METHODS: The PPK/PD model developed here introduced an additional rate constant to a commonly used mechanistic myelosuppression model to better describe the maturation of megakaryocytes into platelets before degradation and a feedback mechanism. The model employed a proportional error model to describe the observed circulating platelet data. RESULTS: Several covariates were explored, including sex, body weight, UGT1A1 genotype status, liver, and kidney function, but none significantly improved the model. Platelet levels rebounded to baseline within 21 days, before the next cycle of therapy. Simulations predicted that higher belinostat drug exposure does cause lower thrombocyte nadirs compared to lower belinostat levels. However, platelet levels rebound by the start of the next belinostat cycle. CONCLUSIONS: This model suggests a q3week schedule allows for sufficient platelet recovery before the next belinostat infusion is optimal.
PURPOSE:Belinostat is a second-generation histone deacetylase inhibitor (HDI) predominantly metabolized by UGT1A1-mediated glucuronidation. Two common polymorphisms (UGT1A1*28 and UGT1A1*60) were previously associated with impaired drug clearance and thrombocytopenia risk, likely from increased drug exposure. This latter phenomenon has been observed with other HDIs such as abexinostat, panobinostat, romidepsin, and vorinostat. It was the intention of this brief report to expand a population pharmacokinetic (PPK) model to include a pharmacodynamic (PD) model describing the change in platelet levels in patients with cancer administered belinostat as a 48-h continuous intravenous infusion, along with cisplatin and etoposide. METHODS: The PPK/PD model developed here introduced an additional rate constant to a commonly used mechanistic myelosuppression model to better describe the maturation of megakaryocytes into platelets before degradation and a feedback mechanism. The model employed a proportional error model to describe the observed circulating platelet data. RESULTS: Several covariates were explored, including sex, body weight, UGT1A1 genotype status, liver, and kidney function, but none significantly improved the model. Platelet levels rebounded to baseline within 21 days, before the next cycle of therapy. Simulations predicted that higher belinostat drug exposure does cause lower thrombocyte nadirs compared to lower belinostat levels. However, platelet levels rebound by the start of the next belinostat cycle. CONCLUSIONS: This model suggests a q3week schedule allows for sufficient platelet recovery before the next belinostat infusion is optimal.
Authors: Andrew K L Goey; Tristan M Sissung; Cody J Peer; Jane B Trepel; Min-Jung Lee; Yusuke Tomita; Sheryl Ehrlich; Christine Bryla; Sanjeeve Balasubramaniam; Richard Piekarz; Seth M Steinberg; Susan E Bates; William D Figg Journal: J Clin Pharmacol Date: 2015-11-09 Impact factor: 3.126
Authors: Sanjeeve Balasubramaniam; Christophe E Redon; Cody J Peer; Christine Bryla; Min-Jung Lee; Jane B Trepel; Yusuke Tomita; Arun Rajan; Giuseppe Giaccone; William M Bonner; William D Figg; Tito Fojo; Richard L Piekarz; Susan E Bates Journal: Anticancer Drugs Date: 2018-06 Impact factor: 2.248
Authors: Richard L Piekarz; Robin Frye; H Miles Prince; Mark H Kirschbaum; Jasmine Zain; Steven L Allen; Elaine S Jaffe; Alexander Ling; Maria Turner; Cody J Peer; William D Figg; Seth M Steinberg; Sonali Smith; David Joske; Ian Lewis; Laura Hutchins; Michael Craig; A Tito Fojo; John J Wright; Susan E Bates Journal: Blood Date: 2011-02-25 Impact factor: 22.113
Authors: Madeleine Duvic; Rakshandra Talpur; Xiao Ni; Chunlei Zhang; Parul Hazarika; Cecilia Kelly; Judy H Chiao; John F Reilly; Justin L Ricker; Victoria M Richon; Stanley R Frankel Journal: Blood Date: 2006-09-07 Impact factor: 22.113
Authors: Victoria L Luchenko; Crystal D Salcido; Yongwei Zhang; Keli Agama; Edina Komlodi-Pasztor; Robert F Murphy; Giuseppe Giaccone; Yves Pommier; Susan E Bates; Lyuba Varticovski Journal: Cell Cycle Date: 2011-09-15 Impact factor: 4.534
Authors: Anas Younes; Anna Sureda; Dina Ben-Yehuda; Pier Luigi Zinzani; Tee-Chuan Ong; H Miles Prince; Simon J Harrison; Mark Kirschbaum; Patrick Johnston; Jennifer Gallagher; Christophe Le Corre; Angela Shen; Andreas Engert Journal: J Clin Oncol Date: 2012-04-30 Impact factor: 44.544
Authors: Ryan S Nelson; Nathan D Seligson; Sal Bottiglieri; Estrella Carballido; Alex Del Cueto; Iman Imanirad; Richard Levine; Alexander S Parker; Sandra M Swain; Emma M Tillman; J Kevin Hicks Journal: Cancers (Basel) Date: 2021-03-29 Impact factor: 6.639