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Unraveling Complexities in the Absorption and Disposition Kinetics of Abiraterone via Iterative PBPK Model Development and Refinement

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Abstract

Background and Objective

Abiraterone is a first-in-class inhibitor of cytochrome P450 17A1 (CYP17A1), and its pharmacokinetic (PK) profile is susceptible to intrinsic and extrinsic variabilities. Potential associations between abiraterone concentrations and pharmacodynamic consequences in prostate cancer may demand further dosage optimization to balance therapeutic outcomes. Consequently, we aim to develop a physiologically based pharmacokinetic (PBPK) model for abiraterone via a middle-out approach to prospectively interrogate the untested, albeit clinically relevant, scenarios.

Methods

To characterize in vivo hydrolysis of prodrug abiraterone acetate (AA) and supersaturation of abiraterone, in vitro aqueous solubility data, biorelevant measurements, and supersaturation and precipitation parameters were utilized for mechanistic absorption simulation. CYP3A4-mediated N-oxidation and sulfotransferase 2A1-catalyzed sulfation of abiraterone were subsequently quantified in human liver subcellular systems. Iterative PBPK model refinement involved evaluation of potential organic anion transporting polypeptide (OATP)-mediated abiraterone uptake in transfected cells in the absence and presence of albumin.

Results

The developed PBPK model recapitulated the duodenal concentration–time profile of both AA and abiraterone after simulated AA administration. Our findings established abiraterone as a substrate of hepatic OATP1B3 to recapitulate its unbound metabolic intrinsic clearance. Further consideration of a transporter-induced protein-binding shift established accurate translational scaling factors and extrapolated the sinusoidal uptake process. Subsequent simulations effectively predicted the PK of abiraterone upon single and multiple dosing.

Conclusion

Our systematic development of the abiraterone PBPK model has demonstrated its application for the prospective interrogation of the individual or combined influences of potential interindividual variabilities influencing the systemic exposure of abiraterone.

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References

  1. Harris WP, Mostaghel EA, Nelson PS, Montgomery B. Androgen deprivation therapy: progress in understanding mechanisms of resistance and optimizing androgen depletion. Nat Clin Pract Urol. 2009;6:76–85.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Huggins C, Hodges CV. Studies on Prostatic Cancer. I. The effect of castration, of estrogen and of androgen injection on serum phosphatases in metastatic carcinoma of the prostate. Cancer Res. 1941;1:293–7.

    CAS  Google Scholar 

  3. US FDA. Clinical pharmacology and biopharmaceutics review: Zytiga (abiraterone acetate); 2010. https://www.accessdata.fda.gov/drugsatfda_docs/nda/2011/202379orig1s000clinpharmr.pdf.

  4. Mueller-Schoell A, Groenland SL, Scherf-Clavel O, van Dyk M, Huisinga W, Michelet R, et al. Therapeutic drug monitoring of oral targeted antineoplastic drugs. Eur J Clin Pharmacol. 2021;77:441–64.

    Article  PubMed  Google Scholar 

  5. Carton E, Noe G, Huillard O, Golmard L, Giroux J, Cessot A, et al. Relation between plasma trough concentration of abiraterone and prostate-specific antigen response in metastatic castration-resistant prostate cancer patients. Eur J Cancer. 2017;72:54–61.

    Article  CAS  PubMed  Google Scholar 

  6. van Nuland M, Groenland SL, Bergman AM, Steeghs N, Rosing H, Venekamp N, et al. Exposure–response analyses of abiraterone and its metabolites in real-world patients with metastatic castration-resistant prostate cancer. Prostate Cancer Prostatic Dis. 2020;23:244–51.

    Article  PubMed  Google Scholar 

  7. Szmulewitz RZ, Peer CJ, Ibraheem A, Martinez E, Kozloff MF, Carthon B, et al. Prospective international randomized phase ii study of low-dose abiraterone with food versus standard dose abiraterone in castration-resistant prostate cancer. J Clin Oncol. 2018;36:1389–95.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Marbury T, Lawitz E, Stonerock R, Gonzalez M, Jiao J, Breeding J, et al. Single-dose pharmacokinetic studies of abiraterone acetate in men with hepatic or renal impairment. J Clin Pharmacol. 2014;54:732–41.

    Article  CAS  PubMed  Google Scholar 

  9. Janssen. ZYTIGA® (abiraterone acetate) highlights of prescribing information; 2019.

  10. Tolcher AW, Chi KN, Shore ND, Pili R, Molina A, Acharya M, et al. Effect of abiraterone acetate plus prednisone on the QT interval in patients with metastatic castration-resistant prostate cancer. Cancer Chemother Pharmacol. 2012;70:305–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Bernard A, Vaccaro N, Acharya M, Jiao J, Monbaliu J, De Vries R, et al. Impact on abiraterone pharmacokinetics and safety: open-label drug-drug interaction studies with ketoconazole and rifampicin. Clin Pharmacol Drug Dev. 2015;4:63–73.

    Article  CAS  PubMed  Google Scholar 

  12. Stappaerts J, Geboers S, Snoeys J, Brouwers J, Tack J, Annaert P, et al. Rapid conversion of the ester prodrug abiraterone acetate results in intestinal supersaturation and enhanced absorption of abiraterone: in vitro, rat in situ and human in vivo studies. Eur J Pharm Biopharm. 2015;90:1–7.

    Article  CAS  PubMed  Google Scholar 

  13. Geboers S, Stappaerts J, Mols R, Snoeys J, Tack J, Annaert P, et al. The effect of food on the intraluminal behavior of abiraterone acetate in man. J Pharm Sci. 2016;105:2974–81.

    Article  CAS  PubMed  Google Scholar 

  14. Solymosi T, Ötvös Z, Angi R, Ordasi B, Jordán T, Semsey S, et al. Development of an abiraterone acetate formulation with improved oral bioavailability guided by absorption modeling based on in vitro dissolution and permeability measurements. Int J Pharm. 2017;532:427–34.

    Article  CAS  PubMed  Google Scholar 

  15. Hens B, Pathak SM, Mitra A, Patel N, Liu B, Patel S, et al. In silico modeling approach for the evaluation of gastrointestinal dissolution, supersaturation, and precipitation of posaconazole. Mol Pharm. 2017;14:4321–33.

    Article  CAS  PubMed  Google Scholar 

  16. Rodgers T, Rowland M. Physiologically based pharmacokinetic modelling 2: predicting the tissue distribution of acids, very weak bases, neutrals and zwitterions. J Pharm Sci. 2006;95:1238–57.

    Article  CAS  PubMed  Google Scholar 

  17. European Medicines Agency. Assessment Report For Zytiga (abiraterone); 2017.

  18. Acharya M, Gonzalez M, Mannens G, De Vries R, Lopez C, Griffin T, et al. A phase I, open-label, single-dose, mass balance study of 14C-labeled abiraterone acetate in healthy male subjects. Xenobiotica. 2013;43:379–89.

    Article  CAS  PubMed  Google Scholar 

  19. Obach RS. Prediction of human clearance of twenty-nine drugs from hepatic microsomal intrinsic clearance data: an examination of in vitro half-life approach and nonspecific binding to microsomes. Drug Metab Dispos. 1999;27:1350–9.

    CAS  PubMed  Google Scholar 

  20. Rostami-Hodjegan A. Physiologically based pharmacokinetics joined with in vitro-in vivo extrapolation of ADME: a marriage under the arch of systems pharmacology. Clin Pharmacol Ther. 2012;92:50–61.

    Article  CAS  PubMed  Google Scholar 

  21. Abduljalil K, Cain T, Humphries H, Rostami-Hodjegan A. Deciding on success criteria for predictability of pharmacokinetic parameters from in vitro studies: an analysis based on in vivo observations. Drug Metab Dispos. 2014;42:1478–84.

    Article  PubMed  Google Scholar 

  22. Mostaghel EA, Cho E, Zhang A, Alyamani M, Kaipainen A, Green S, et al. Association of tissue abiraterone levels and SLCO genotype with intraprostatic steroids and pathologic response in men with high-risk localized prostate cancer. Clin Cancer Res. 2017;23:4592–601.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Zamek-Gliszczynski MJ, Taub ME, Chothe PP, Chu X, Giacomini KM, Kim RB, et al. Transporters in drug development: 2018 ITC recommendations for transporters of emerging clinical importance. Clin Pharmacol Ther. 2018;104:890–9.

    Article  PubMed  Google Scholar 

  24. US FDA. Drug development and drug interactions: table of substrates, inhibitors and inducers. center for drug evaluation and research; 2017.

  25. Bowman CM, Okochi H, Benet LZ. The presence of a transporter-induced protein binding shift: a new explanation for protein-facilitated uptake and improvement for in vitro-in vivo extrapolation. Drug Metab Dispos. 2019;47:358–63.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Sissung TM, Ley AM, Strope JD, McCrea EM, Beedie S, Peer CJ, et al. Differential expression of OATP1B3 mediates unconjugated testosterone influx. Mol Cancer Res. 2017;15:1096–105.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Müller P, Pomorski T, Porwoli S, Tauber R, Herrmann A. Transverse movement of spin-labeled phospholipids in the plasma membrane of a hepatocytic cell line (HepG2): implications for biliary lipid secretion. Hepatology. 1996;24:1497–503.

    Article  PubMed  Google Scholar 

  28. Badée J, Achour B, Rostami-Hodjegan A, Galetin A. Meta-analysis of expression of hepatic organic anion-transporting polypeptide (OATP) transporters in cellular systems relative to human liver tissue. Drug Metab Dispos. 2015;43:424–32.

    Article  PubMed  Google Scholar 

  29. Acharya M, Bernard A, Gonzalez M, Jiao J, De Vries R, Tran N. Open-label, phase I, pharmacokinetic studies of abiraterone acetate in healthy men. Cancer Chemother Pharmacol. 2012;69:1583–90.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Pathak SM, Schaefer KJ, Jamei M, Turner DB. Biopharmaceutic IVIVE—mechanistic modeling of single- and two-phase in vitro experiments to obtain drug-specific parameters for incorporation into PBPK models. J Pharm Sci. 2019;108:1604–18.

    Article  CAS  PubMed  Google Scholar 

  31. Kourentas A, Vertzoni M, Stavrinoudakis N, Symillidis A, Brouwers J, Augustijns P, et al. An in vitro biorelevant gastrointestinal transfer (BioGIT) system for forecasting concentrations in the fasted upper small intestine: design, implementation, and evaluation. Eur J Pharm Sci. 2016;82:106–14.

    Article  CAS  PubMed  Google Scholar 

  32. Stover JT, Moore RA, Davis K, Harrison MR, Armstrong AJ. Reversal of PSA progression on abiraterone acetate through the administration with food in men with metastatic castration-resistant prostate cancer. Prostate Cancer Prostatic Dis. 2015;18:161–6.

    Article  CAS  PubMed  Google Scholar 

  33. Chien C, Smith M, De PP. Effect of food on abiraterone pharmacokinetics: a review. Int J Pharmacokinet. 2017;2:183–93.

    Article  CAS  Google Scholar 

  34. Minekus M. The TNO gastro-intestinal model (TIM). Impact food bioact heal vitr ex vivo model. Berlin: Springer International Publishing; 2015. p. 37–46.

  35. Cho E, Montgomery RB, Mostaghel EA. Minireview: SLCO and ABC transporters: a role for steroid transport in prostate cancer progression. Endocrinology. 2014;155:4124–32.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Solymosi T, Tóth F, Orosz J, Basa-Dénes O, Angi R, Jordán T, et al. Solubility measurements at 296 and 310 K and physicochemical characterization of abiraterone and abiraterone acetate. J Chem Eng Data. 2018;63:4453–8.

    CAS  Google Scholar 

  37. Bowman CM, Benet LZ. An examination of protein binding and protein-facilitated uptake relating to in vitro-in vivo extrapolation. Eur J Pharm Sci. 2018;123:502–14.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Miyauchi S, Masuda MM, Kim SJ, Tanaka Y, Lee KR, Iwakado S, et al. The phenomenon of albumin-mediated hepatic uptake of organic anion transport polypeptide substrates: prediction of the in vivo uptake clearance from the in vitro uptake by isolated hepatocytes using a facilitated-dissociation model. Drug Metab Dispos. 2018;46:259–67.

    Article  CAS  PubMed  Google Scholar 

  39. Kim SJ, Lee KR, Miyauchi S, Sugiyama Y. Extrapolation of in vivo hepatic clearance from in vitro uptake clearance by suspended human hepatocytes for anionic drugs with high binding to human albumin: improvement of in vitro-to-in vivo extrapolation by considering the “albumin-mediated” hepatic u. Drug Metab Dispos. 2019;47:94–103.

    Article  CAS  PubMed  Google Scholar 

  40. El-Khateeb E, Achour B, Al-Majdoub ZM, Barber J, Rostami-Hodjegan A. Non-uniformity of changes in drug-metabolizing enzymes and transporters in liver cirrhosis: implications for drug dosage adjustment. Mol Pharm. 2021;18:3563–77.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Gufford BT, Robarge JD, Eadon MT, Gao H, Lin H, Liu Y, et al. Rifampin modulation of xeno- and endobiotic conjugating enzyme mRNA expression and associated microRNAs in human hepatocytes. Pharmacol Res Perspect. 2018;6:386.

    Article  Google Scholar 

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Acknowledgements

The authors thank Dr Bruno Stieger (Division of Clinical Pharmacology and Toxicology, University Hospital, Zurich, Switzerland) for the kind donation of both wild type and human OATP1B1/1B3/2B1-transfected Chinese hamster ovary cell lines.

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Correspondence to Eric Chun Yong Chan.

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The authors have no conflicts of interest to declare.

Funding

This work was supported by the Singapore Ministry of Education Tier 1 Academic Research Funding (grant R-148-000-249-114) and the National University of Singapore (NUS) President’s Graduate Fellowship (PGF) to E.J.Y.C and the National University of Singapore, Department of Pharmacy, final year project funding provided to Z.W.N, T.J.Y and E.Z.B.C.

Author contributions

All authors participated in research design, performed data analysis, and wrote or contributed to the writing of the manuscript. Cheong, Ng, Chin, and Wang conducted the experiments. All authors read and approved the final manuscript.

Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request. Some data may not be made available because of privacy or ethical restrictions.

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Supplementary Information

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40262_2023_1266_MOESM1_ESM.tif

Figure S1. Schematic presentation of the interplay between supersaturation and precipitation of abiraterone in intestinal fluids. Region A: The dissolved concentration of abiraterone is permitted to rise above equilibrium solubility until the critical supersaturation concentration (CSC) is attained. Region B: Above the CSC, there exists a metastable time window of supersaturated concentrations. Region C: Supersaturated abiraterone will precipitate as a function of time following a first-order kinetic process governed by the precipitation rate constant (PRC). Precipitation continues until dissolved concentration is equal to equilibrium solubility (TIF 101 kb)

40262_2023_1266_MOESM2_ESM.tif

Figure S2. Determination of the intrinsic solubility of abiraterone via a saturation shake flask experiment. Measurements after 14 and 24 h of incubation indicated that the difference in mean intrinsic solubility of abiraterone was not statistically significant, p>0.05. Hence, taking the average of 12 measurements, the intrinsic solubility of abiraterone was calculated to be 0.0058 mg/mL (TIF 592 kb)

40262_2023_1266_MOESM3_ESM.tif

Figure S3. Examining how the magnitude of the secondary precipitation rate constant (sPRC) will affect (a) the simulated duodenal concentration-time profile of abiraterone and (b) the simulated plasma Cmax (TIF 562 kb)

40262_2023_1266_MOESM4_ESM.tif

Figure S4. Comparing the impact of utilizing a perfusion-limited liver model versus a permeability-limited liver model on the simulated plasma (solid lines) and liver (dashed lines) concentration-time profiles of abiraterone. Open symbols represent the observed clinical plasma concentration-time profile following a single 250 mg dose of abiraterone acetate administered under fasted conditions (TIF 982 kb)

40262_2023_1266_MOESM5_ESM.tif

Figure S5. Time-dependent uptake of (a) testosterone 5 μM and (b) abiraterone 2.5 μM in OATP1B3-expressing CHO cells. Linearity of OATP1B3-mediated testosterone and abiraterone uptake was demonstrated between 1 to 2 min and 0.5 to 1 min respectively. Each point represents the mean ± SD of triplicate determinations. (TIF 553 kb)

40262_2023_1266_MOESM6_ESM.tif

Figure S6. Evaluating the source and quality of drug-dependent parameters utilized to parameterize the absorption models of abiraterone acetate and abiraterone. (a) Depletion profile of abiraterone acetate in fasted state human intestinal fluid, fasted state simulated intestinal fluid supplemented with pancreatin (10 mg/mL) and fed state human intestinal fluid after the addition of 1 µM of abiraterone acetate to the media. Simulated (solid line) plasma drug concentration-time profiles of abiraterone in the fed state following (b) a single 250 mg dose of AA as reported by Geboers et al (TIF 642 kb)

40262_2023_1266_MOESM7_ESM.tif

Figure S7. Comparison between the simulated geometric mean (solid and dashed lines) and observed PK profiles (open symbols) of abiraterone in healthy controls versus moderately hepatic impaired subjects following single dose administration of 1000 mg AA (TIF 629 kb)

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Cheong, E.J.Y., Chin, S.Y., Ng, Z.W. et al. Unraveling Complexities in the Absorption and Disposition Kinetics of Abiraterone via Iterative PBPK Model Development and Refinement. Clin Pharmacokinet 62, 1243–1261 (2023). https://doi.org/10.1007/s40262-023-01266-y

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