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. 2024 Jun;63(6):857-869.
doi: 10.1007/s40262-024-01379-y. Epub 2024 Jun 14.

Population Pharmacokinetics of Cabozantinib in Metastatic Renal Cell Carcinoma Patients: Towards Drug Expenses Saving Regimens

Affiliations

Population Pharmacokinetics of Cabozantinib in Metastatic Renal Cell Carcinoma Patients: Towards Drug Expenses Saving Regimens

Zhiyuan Tan et al. Clin Pharmacokinet. 2024 Jun.

Abstract

Introduction: Cabozantinib is one of the preferred treatment options in the latest metastatic renal cell carcinoma (mRCC) guidelines. Cabozantinib is also associated with high drug expenses irrespective of the used dose, because a flat-prizing model has been implemented. In addition, concomitant intake with a high-fat meal increases its bioavailability on average by 57%. Combined with the long terminal half-life of cabozantinib (99 h), this creates possibilities to extend the dosing interval to reduce drug expenses whilst maintaining equivalent exposure.

Objectives: The primary objective was to evaluate the population pharmacokinetic (POPPK) model of cabozantinib developed for its registration using real-world patients' therapeutic drug monitoring (TDM) data. The secondary objective was to design, simulate, and evaluate alternative dose regimens with the aim to reduce drug expenses whilst maintaining comparable exposure.

Methods: Retrospective TDM data from mRCC patients treated with cabozantinib were obtained. The data were evaluated using the published Food and Drug Administration (FDA) cabozantinib POPPK model, a two-compartment disposition model with a dual (fast and slow) lagged first-order absorption process derived from FDA registration documents, as a basis. Subsequently, simulations of alternative drug expenses saving regimens were evaluated.

Results: Twenty-seven mRCC patients with 75 pharmacokinetic observations were included. Patients were treated for a median of 75 days with a median dose of 40 mg. Model evaluation results showed that the cabozantinib TDM concentrations were adequately predicted by the published FDA cabozantinib POPPK model, except for a slightly higher clearance (CL) of 3.11 L/h compared to the reported value (2.23 L/h). The simulation study indicated that an alternative dose regimen that consists of taking 60 mg of cabozantinib for 2 days and then skipping 1 day results in comparable average exposure when compared with a 40 mg daily dose, both without food interaction, while saving 33.3% of the total drug expenses per month. The food effect of a high-fat meal was also taken into account when simulating other alternative dose regimens; 40 mg every 72 h combined with a high-fat meal resulted in comparable exposure when compared with a 20 mg daily dose fasted, while saving 66.7% in drug expenses.

Conclusions: In this study, the optimized cabozantinib POPPK model resulted in adequate prediction of real-world cabozantinib pharmacokinetic data. Alternative dosing regimens with and without using known food interactions were proposed that resulted in potential strategies to significantly reduce cabozantinib drug expenses.

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Conflict of interest statement

No disclosures are applicable for this work. None of the other authors have any conflicts to declare.

Figures

Fig. 1
Fig. 1
Schematic representation of the FDA cabozantinib POPPK model for cabozantinib [13] (Ka1 = absorption rate constant from depot 1, Ka2 = absorption rate constant from depot 2, ALAG1 = lag time of depot 1, ALAG2 = lag time of depot 2, CL/F = apparent plasma clearance, Q/F = apparent distribution rate constant between compartments)
Fig. 2
Fig. 2
Diagram of the simulated regimens (q72h: dosing every 72 hours)
Fig. 3
Fig. 3
GOF plots of the final model (group by dose level)
Fig. 4
Fig. 4
a Simulations of patients taking 40 mg QD cabozantinib fasted versus taking 60 mg QD 2 days+1 day skip regimen fasted; b Simulations of patients taking 40 mg QD cabozantinib fasted versus taking 40 mg QD 2 days+1 day skip regimen fed; c Simulations of patients taking 20 mg QD cabozantinib fasted versus taking 40 mg q72h fed (Black line: median simulation curve; shaded area: 90% prediction interval (PI))

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References

    1. Attalla K, Weng S, Voss MH, Hakimi AA. Epidemiology, risk assessment, and biomarkers for patients with advanced renal cell carcinoma. Urol Clin N Am. 2020;47(3):293–303. doi: 10.1016/j.ucl.2020.04.002. - DOI - PMC - PubMed
    1. Hahn AW, Klaassen Z, Agarwal N, et al. First-line treatment of metastatic renal cell carcinoma: a systematic review and network meta-analysis. Eur Urol Oncol. 2019;2(6):708–715. doi: 10.1016/j.euo.2019.09.002. - DOI - PubMed
    1. Abdelaziz A, Vaishampayan U. Cabozantinib for the treatment of kidney cancer. Expert Rev Anticancer Ther. 2017;17(7):577–584. doi: 10.1080/14737140.2017.1344553. - DOI - PMC - PubMed
    1. Choueiri TK, Escudier B, Powles T, et al. Cabozantinib versus everolimus in advanced renal-cell carcinoma. N Engl J Med. 2015;373(19):1814–1823. doi: 10.1056/NEJMoa1510016. - DOI - PMC - PubMed
    1. Escudier B, Porta C, Schmidinger M, et al. Renal cell carcinoma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up†. Ann Oncol. 2019;30(5):706–720. doi: 10.1093/annonc/mdz056. - DOI - PubMed

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