BACKGROUND AND OBJECTIVES:Abiraterone acetate, an androgen biosynthesis inhibitor, prolongs survival in men with metastatic castration-resistant prostate cancer (mCRPC) in the pre- and post-chemotherapy setting as demonstrated by the pivotal phase III studies COU-AA-301 and COU-AA-302. We performed population pharmacokinetic analyses to estimate pharmacokinetic parameters after oral administration of 1,000 mg/day of abiraterone acetate in patients with mCRPC, with or without prior chemotherapy, and after a single 1,000 mg dose in healthy volunteers. The study objectives were to determine consistency between patient populations and to characterize factors that may influence abiraterone pharmacokinetics. METHODS: Studies in this analysis included COU-AA-302 (chemotherapy naïve); COU-AA-301 and COU-AA-006 (chemotherapy pretreated); and COU-AA-008, COU-AA-009, and COU-AA-014 (healthy subjects). A total of 4,627 plasma concentrations from 359 subjects (62 healthy volunteers, 297 patients) were analyzed using non-linear mixed-effects modeling. RESULTS: An Erlang-type absorption model with first-order elimination and three-transit compartments following sequential zero- and first-order processes was used to characterize abiraterone pharmacokinetics. Absorption-related parameters were affected by food intake. Abiraterone pharmacokinetics were characterized by an extensive apparent clearance, which was lower in patients with mCRPC (1,550 L/h) versus healthy subjects (2,240 L/h), and by large apparent central (5,620 L) and peripheral (17,400 L) volumes of distribution. Abiraterone pharmacokinetics were similar in chemotherapy-pretreated and -naïve patients and were characterized by a high between- and within-subject variability [e.g., between-subject coefficient of variation (CV%) for relative bioavailability for the modified fasting state was 61.1% and the CV% for within-subject variability was 71.3%]. The fat content of food taken with abiraterone acetate affected the bioavailability of abiraterone. No factors beyond food intake and health status (healthy vs. mCRPC) impacted abiraterone pharmacokinetics. CONCLUSIONS: Based on the pharmacokinetics model, the recommended 1,000 mg/day of abiraterone acetate resulted in similar abiraterone exposure for patients with mCRPC regardless of prior chemotherapy. The fat content of food affected relative bioavailability of abiraterone, though the extent of this effect is dependent on health status.
RCT Entities:
BACKGROUND AND OBJECTIVES:Abiraterone acetate, an androgen biosynthesis inhibitor, prolongs survival in men with metastatic castration-resistant prostate cancer (mCRPC) in the pre- and post-chemotherapy setting as demonstrated by the pivotal phase III studies COU-AA-301 and COU-AA-302. We performed population pharmacokinetic analyses to estimate pharmacokinetic parameters after oral administration of 1,000 mg/day of abiraterone acetate in patients with mCRPC, with or without prior chemotherapy, and after a single 1,000 mg dose in healthy volunteers. The study objectives were to determine consistency between patient populations and to characterize factors that may influence abiraterone pharmacokinetics. METHODS: Studies in this analysis included COU-AA-302 (chemotherapy naïve); COU-AA-301 and COU-AA-006 (chemotherapy pretreated); and COU-AA-008, COU-AA-009, and COU-AA-014 (healthy subjects). A total of 4,627 plasma concentrations from 359 subjects (62 healthy volunteers, 297 patients) were analyzed using non-linear mixed-effects modeling. RESULTS: An Erlang-type absorption model with first-order elimination and three-transit compartments following sequential zero- and first-order processes was used to characterize abiraterone pharmacokinetics. Absorption-related parameters were affected by food intake. Abiraterone pharmacokinetics were characterized by an extensive apparent clearance, which was lower in patients with mCRPC (1,550 L/h) versus healthy subjects (2,240 L/h), and by large apparent central (5,620 L) and peripheral (17,400 L) volumes of distribution. Abiraterone pharmacokinetics were similar in chemotherapy-pretreated and -naïve patients and were characterized by a high between- and within-subject variability [e.g., between-subject coefficient of variation (CV%) for relative bioavailability for the modified fasting state was 61.1% and the CV% for within-subject variability was 71.3%]. The fat content of food taken with abiraterone acetate affected the bioavailability of abiraterone. No factors beyond food intake and health status (healthy vs. mCRPC) impacted abiraterone pharmacokinetics. CONCLUSIONS: Based on the pharmacokinetics model, the recommended 1,000 mg/day of abiraterone acetate resulted in similar abiraterone exposure for patients with mCRPC regardless of prior chemotherapy. The fat content of food affected relative bioavailability of abiraterone, though the extent of this effect is dependent on health status.
Authors: S L Preston; G L Drusano; A L Berman; C L Fowler; A T Chow; B Dornseif; V Reichl; J Natarajan; F A Wong; M Corrado Journal: Antimicrob Agents Chemother Date: 1998-05 Impact factor: 5.191
Authors: Suresh S Ramalingam; Shivaani Kummar; John Sarantopoulos; Stephen Shibata; Patricia LoRusso; Mara Yerk; Julianne Holleran; Yan Lin; Jan H Beumer; R Donald Harvey; S Percy Ivy; Chandra P Belani; Merrill J Egorin Journal: J Clin Oncol Date: 2010-09-13 Impact factor: 44.544
Authors: Alison H M Reid; Gerhardt Attard; Daniel C Danila; Nikhil Babu Oommen; David Olmos; Peter C Fong; L Rhoda Molife; Joanne Hunt; Christina Messiou; Christopher Parker; David Dearnaley; Joost F Swennenhuis; Leon W M M Terstappen; Gloria Lee; Thian Kheoh; Arturo Molina; Charles J Ryan; Eric Small; Howard I Scher; Johann S de Bono Journal: J Clin Oncol Date: 2010-02-16 Impact factor: 44.544
Authors: Iordanis Gravanis; Arantxa Sancho Lopez; Robert James Hemmings; Jorge Camarero Jiménez; Rocio Garcia-Carbonero; Isabel García Gallego; Elena Valencia Giménez; Daniel O'Connor; Rosa Giuliani; Tomas Salmonson; Francesco Pignatti Journal: Oncologist Date: 2013-08-21
Authors: Gerhardt Attard; Alison H M Reid; Roger A'Hern; Christopher Parker; Nikhil Babu Oommen; Elizabeth Folkerd; Christina Messiou; L Rhoda Molife; Gal Maier; Emilda Thompson; David Olmos; Rajesh Sinha; Gloria Lee; Mitch Dowsett; Stan B Kaye; David Dearnaley; Thian Kheoh; Arturo Molina; Johann S de Bono Journal: J Clin Oncol Date: 2009-05-26 Impact factor: 44.544
Authors: Xu Steven Xu; Charles J Ryan; Kim Stuyckens; Matthew R Smith; Fred Saad; Thomas W Griffin; Youn C Park; Margaret K Yu; Peter De Porre; An Vermeulen; Italo Poggesi; Partha Nandy Journal: Clin Pharmacokinet Date: 2017-01 Impact factor: 6.447
Authors: Emmy Boerrigter; Guillemette E Benoist; Joanneke K Overbeek; Rogier Donders; Niven Mehra; Inge M van Oort; Rob Ter Heine; Nielka P van Erp Journal: Br J Clin Pharmacol Date: 2021-10-08 Impact factor: 3.716
Authors: Guillemette E Benoist; Maarten J van der Doelen; Rob Ter Heine; Nielka P van Erp; Niven Mehra Journal: Br J Clin Pharmacol Date: 2018-02-21 Impact factor: 4.335
Authors: Russell Z Szmulewitz; Cody J Peer; Abiola Ibraheem; Elia Martinez; Mark F Kozloff; Bradley Carthon; R Donald Harvey; Paul Fishkin; Wei Peng Yong; Edmund Chiong; Chadi Nabhan; Theodore Karrison; William D Figg; Walter M Stadler; Mark J Ratain Journal: J Clin Oncol Date: 2018-03-28 Impact factor: 50.717
Authors: Guillemette E Benoist; Rianne J Hendriks; Peter F A Mulders; Winald R Gerritsen; Diederik M Somford; Jack A Schalken; Inge M van Oort; David M Burger; Nielka P van Erp Journal: Clin Pharmacokinet Date: 2016-11 Impact factor: 6.447
Authors: Anna Mueller-Schoell; Stefanie L Groenland; Oliver Scherf-Clavel; Madelé van Dyk; Wilhelm Huisinga; Robin Michelet; Ulrich Jaehde; Neeltje Steeghs; Alwin D R Huitema; Charlotte Kloft Journal: Eur J Clin Pharmacol Date: 2020-11-09 Impact factor: 2.953
Authors: Emmy Boerrigter; Guillemette E Benoist; Inge M van Oort; Gerald W Verhaegh; Onno van Hooij; Levi Groen; Frank Smit; Irma M Oving; Pieter de Mol; Tineke J Smilde; Diederik M Somford; Niven Mehra; Jack A Schalken; Nielka P van Erp Journal: Mol Oncol Date: 2021-05-29 Impact factor: 6.603