Population pharmacokinetic-pharmacodynamic modelling of platelet time-courses following administration of abrocitinib
Jessica Wojciechowski, Bimal K Malhotra, Xiaoxing Wang, Luke Fostvedt, Hernan Valdez, Timothy Nicholas, Jessica Wojciechowski, Bimal K Malhotra, Xiaoxing Wang, Luke Fostvedt, Hernan Valdez, Timothy Nicholas
Abstract
Aims: Abrocitinib is a selective Janus kinase 1 inhibitor for the treatment of moderate-to-severe atopic dermatitis. Herein we describe the time-course of drug-induced platelet reduction following abrocitinib administration, identify covariates affecting platelet counts, and determine the probability of patients experiencing thrombocytopaenia while receiving abrocitinib.
Methods: This analysis included data from two Phase 2 and three Phase 3 studies in psoriasis and atopic dermatitis patient populations administered abrocitinib 10-400 mg QD orally for up to 12 weeks, with platelet counts determined up to week 16. A semi-mechanistic model was developed to assess the impact of baseline platelet counts (170, 220 and 270 × 1000/μL), age and race on the platelet nadir and week 12 counts with once-daily abrocitinib 200 mg or 100 mg.
Results: Decreases in platelet counts were transient with the nadir occurring on average 24 days (95% prediction interval, 23-24) after continuous administration of abrocitinib 200 mg QD. Following administration of once-daily abrocitinib 200 mg, the probabilities of thrombocytopaenia (<150 × 1000/μL) at the nadir were 8.6% and 95.5% for the typical patient with baseline platelet count of 270 × 1000/μL or 170 × 1000/μL, respectively. Adolescents had a lower probability of thrombocytopaenia compared with adults; platelet count distribution was similar in Asian and Western patients at the nadir and at week 12.
Conclusion: This analysis supports the safety of once-daily abrocitinib 200 mg and 100 mg dosing regimens, with low probability of thrombocytopaenia during treatment, except for higher risk of low-grade thrombocytopaenia that diminished after 4 weeks in patients with low baseline platelet counts.
Trial registration: ClinicalTrials.gov NCT03627767 NCT03575871 NCT03349060 NCT02780167 NCT02201524.
Keywords: dermatology; pharmacodynamics; pharmacokinetics; platelets.
Conflict of interest statement
All authors are employees and shareholders of Pfizer Inc.
© 2022 Pfizer Inc. British Journal of Clinical Pharmacology published by John Wiley & Sons Ltd on behalf of British Pharmacological Society.
Figures
References
- Vazquez ML, Kaila N, Strohbach JW, et al. Identification of N‐{cis‐3‐[Methyl(7H‐pyrrolo[2,3‐d]pyrimidin‐4‐yl)amino]cyclobutyl}propane‐1‐sulfo namide (PF‐04965842): a selective JAK1 clinical candidate for the treatment of autoimmune diseases. J Med Chem. 2018;61(3):1130‐1152. doi:10.1021/acs.jmedchem.7b01598
- Gooderham MJ, Forman SB, Bissonnette R, et al. Efficacy and safety of oral Janus kinase 1 inhibitor abrocitinib for patients with atopic dermatitis: a phase 2 randomized clinical trial. JAMA Dermatol. 2019;155(12):1371‐1379. doi:10.1001/jamadermatol.2019.2855
- Simpson EL, Sinclair R, Forman S, et al. Efficacy and safety of abrocitinib in adults and adolescents with moderate‐to‐severe atopic dermatitis (JADE MONO‐1): a multicentre, double‐blind, randomised, placebo‐controlled, phase 3 trial. Lancet. 2020;396(10246):255‐266. doi:10.1016/s0140-6736(20)30732-7
- Silverberg JI, Simpson EL, Thyssen JP, et al. Efficacy and safety of abrocitinib in patients with moderate‐to‐severe atopic dermatitis: a randomized clinical trial. JAMA Dermatol. 2020;156(8):863‐873. doi:10.1001/jamadermatol.2020.1406
- Schmieder GJ, Draelos ZD, Pariser DM, et al. Efficacy and safety of the Janus kinase 1 inhibitor PF‐04965842 in patients with moderate‐to‐severe psoriasis: phase II, randomized, double‐blind, placebo‐controlled study. Br J Dermatol. 2018;179(1):54‐62. doi:10.1111/bjd.16004
- Grozovsky R, Giannini S, Falet H, Hoffmeister KM. Novel mechanisms of platelet clearance and thrombopoietin regulation. Curr Opin Hematol. 2015;22(5):445‐451. doi:10.1097/moh.0000000000000170
- Soto E, Banfield C, Gupta P, Peterson MC. Kinetic‐pharmacodynamic model of platelet time course in patients with moderate‐to‐severe atopic dermatitis treated with oral Janus kinase 1 inhibitor abrocitinib. CPT Pharmacometrics Syst Pharmacol. 2020;9(10):553‐560. doi:10.1002/psp4.12548
- Wojciechowski J, Malhotra BK, Wang X, Fostvedt L, Valdez H, Nicholas T. Population pharmacokinetics of abrocitinib in healthy individuals and patients with psoriasis or atopic dermatitis. Clin Pharmacokinet. 2022;1‐15. doi:10.1007/s40262-021-01104-z
- Beal SL, Sheiner LB, Boeckmann A, Bauer RJ. NONMEM User's Guides (1989–2009). Ellicott City, MD: ICON Development Solutions; 2009.
- Lindbom L, Pihlgren P, Jonsson EN. PsN‐Toolkit—a collection of computer intensive statistical methods for non‐linear mixed effect modeling using NONMEM. Comput Methods Programs Biomed. 2005;79(3):241‐257. doi:10.1016/j.cmpb.2005.04.005
- Lindbom L, Ribbing J, Jonsson EN. Perl‐speaks‐NONMEM (PsN)—a Perl module for NONMEM related programming. Comput Methods Programs Biomed. 2004;75(2):85‐94. doi:10.1016/j.cmpb.2003.11.003
- R Core Team . R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. . Accessed July 22, 2020.
- Friberg LE, Henningsson A, Maas H, Nguyen L, Karlsson MO. Model of chemotherapy‐induced myelosuppression with parameter consistency across drugs. J Clin Oncol. 2002;20(24):4713‐4721. doi:10.1200/JCO.2002.02.140
- US Department of Health and Human Services . Common Terminology Criteria for Adverse Events (CTCAE). Version 50 2017.
- Alexander SPH, Fabbro D, Kelly E, et al. The Concise Guide to PHARMACOLOGY 2019/20: Enzymes. Br J Pharmacol. 2019;176:S297‐S396.
- Grozovsky R, Begonja AJ, Liu K, et al. The Ashwell‐Morell receptor regulates hepatic thrombopoietin production via JAK2‐STAT3 signaling. Nat Med. 2015;21(1):47‐54. doi:10.1038/nm.3770
- Koride S, Nayak S, Banfield C, Peterson MC. Evaluating the role of Janus kinase pathways in platelet homeostasis using a systems modeling approach. CPT Pharmacometrics Syst Pharmacol. 2019;8(7):478‐488. doi:10.1002/psp4.12419
- Santimone I, Di Castelnuovo A, De Curtis A, et al. White blood cell count, sex and age are major determinants of heterogeneity of platelet indices in an adult general population: results from the MOLI‐SANI project. Haematologica. 2011;96(8):1180‐1188. doi:10.3324/haematol.2011.043042
Source: PubMed