OBJECTIVE: Navitoclax is a first-in-class, orally bioavailable, targeted Bcl-2 family protein inhibitor and promotes apoptosis. Thrombocytopenia is a primary dose-limiting toxicity of navitoclax which exhibited a distinct time profile in circulating platelets from that caused by traditional chemotherapies. A population pharmacokinetic/pharmacodynamic (PK/PD) model was developed to describe the pharmacokinetic of navitoclax as well as the time course of the platelet counts in cancer patients receiving navitoclax. METHODS: Data from 256 patients who received oral navitoclax (dose range 10-475 mg) as a 14/21-day schedule or a continuous once daily (QD) schedule were used to construct the model using NONMEM. The PK model was a two-compartmental model with a lag-time and a transit compartment in absorption. The PD model was a semi-physiological model that comprised a progenitor cell compartment, three transition compartments representing the maturation chain in the bone marrow and a peripheral blood compartment. Compared with the previously published models, the model established in this analysis applied a different feedback mechanism and introduced a new concept of progenitor cell "pool", which describes a large pool of platelet progenitor cells at the beginning of navitoclax treatment. RESULTS: The PD model was able to describe a slight downward trend of platelet counts over the long-term navitoclax treatment as observed in around 8 % of the patients and the initial drop in platelets seen in our Phase 1/2a studies. CONCLUSIONS: We have developed a new semi-physiological platelet model for describing fast drop of platelets after initial navitoclax administration and long-term decline of platelets after continuous administration of navitoclax.
OBJECTIVE:Navitoclax is a first-in-class, orally bioavailable, targeted Bcl-2 family protein inhibitor and promotes apoptosis. Thrombocytopenia is a primary dose-limiting toxicity of navitoclax which exhibited a distinct time profile in circulating platelets from that caused by traditional chemotherapies. A population pharmacokinetic/pharmacodynamic (PK/PD) model was developed to describe the pharmacokinetic of navitoclax as well as the time course of the platelet counts in cancerpatients receiving navitoclax. METHODS: Data from 256 patients who received oral navitoclax (dose range 10-475 mg) as a 14/21-day schedule or a continuous once daily (QD) schedule were used to construct the model using NONMEM. The PK model was a two-compartmental model with a lag-time and a transit compartment in absorption. The PD model was a semi-physiological model that comprised a progenitor cell compartment, three transition compartments representing the maturation chain in the bone marrow and a peripheral blood compartment. Compared with the previously published models, the model established in this analysis applied a different feedback mechanism and introduced a new concept of progenitor cell "pool", which describes a large pool of platelet progenitor cells at the beginning of navitoclax treatment. RESULTS: The PD model was able to describe a slight downward trend of platelet counts over the long-term navitoclax treatment as observed in around 8 % of the patients and the initial drop in platelets seen in our Phase 1/2a studies. CONCLUSIONS: We have developed a new semi-physiological platelet model for describing fast drop of platelets after initial navitoclax administration and long-term decline of platelets after continuous administration of navitoclax.
Authors: Thomas P Garner; Andrea Lopez; Denis E Reyna; Adam Z Spitz; Evripidis Gavathiotis Journal: Curr Opin Chem Biol Date: 2017-08-17 Impact factor: 8.822
Authors: Bennett G Childs; Martina Gluscevic; Darren J Baker; Remi-Martin Laberge; Dan Marquess; Jamie Dananberg; Jan M van Deursen Journal: Nat Rev Drug Discov Date: 2017-07-21 Impact factor: 84.694
Authors: Sina Oppermann; Jarkko Ylanko; Yonghong Shi; Santosh Hariharan; Christopher C Oakes; Patrick M Brauer; Juan C Zúñiga-Pflücker; Brian Leber; David E Spaner; David W Andrews Journal: Blood Date: 2016-06-13 Impact factor: 22.113
Authors: Nicholas F Pelz; Zhiguo Bian; Bin Zhao; Subrata Shaw; James C Tarr; Johannes Belmar; Claire Gregg; DeMarco V Camper; Craig M Goodwin; Allison L Arnold; John L Sensintaffar; Anders Friberg; Olivia W Rossanese; Taekyu Lee; Edward T Olejniczak; Stephen W Fesik Journal: J Med Chem Date: 2016-02-24 Impact factor: 7.446