PO.ET02.07 · 实验与分子治疗

Population pharmacokinetics of nab-paclitaxel following administration of a nano-immunoconjugate with bevacizumab

海报缩略图:Population pharmacokinetics of nab-paclitaxel following administration of a nano-immunoconjugate with bevacizumab
编号 301 展板 19 时间 4/19 02:00–05:00 区域 Section 13 主讲 Joel Reid, PhD
分会场 Innovative Therapeutic Modalities and Translational Platforms
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作者与单位

Mohd Beshr Chama1, Matthew Stephen Block1, Vera J. Suman2, Joel M. Reid1

1Mayo Clinic College of Medicine and Science, Rochester, MN,2Mayo Clinic, Rochester, MN

摘要 Abstract

Introduction. This study aimed to characterize the population pharmacokinetics (PopPK) of nab-paclitaxel following the administration of the nano-immunoconjugate nab-paclitaxel-bevacizumab to patients with unresectable stage IV melanoma or gynecological cancers (NCT02020707). The core objective was to characterize the population mean drug concentration-time profile, understand the variability in drug concentrations and identify factors that explain differences in paclitaxel plasma clearance. Also, we sought to explore the impact of the nano-immunoconjugate formulation on paclitaxel clearance. Methods. Using Pumas AI - an advanced pharmacokinetic software program, integrating Machine Learning methods - a PopPK analysis was conducted using concentration-time data collected from 29 subjects, (681 concentration measurements). Patients received 75 - 175 mg/m 2 (total dose, 160 - 360 mg). Data were fitted to a 2-compartment model based biphasic decline observed in plasma concentration following intravenous administration. A critical requirement for the model was the inclusion of saturable elimination to accurately describe the drug's disposition. A comprehensive modeling workflow was implemented, starting with base models (mixed vs. non-linear clearance), followed by the sequential addition of covariates (Age, Sex, BSA, Tumor, Cycle). The Parsimony Principle was applied to select the most appropriate model. Results. Population estimates for paclitaxel clearance and volume of distribution were 41.7 L/hr and 312 L, respectively. The analysis found paclitaxel clearance higher when compared with published data for nab-paclitaxel alone (21.1 or 25 L/h/m 2 ; Sparreboom et al, CCR 11:4136, 2005 and Ando et al, CCP 69:457, 2012). A covariate model incorporating BSA and Gender is the best. For every 2 m 2 increase in BSA, linear clearance (CL) increases by 6.9%. Females have 16.6% lower CL than males, which successfully characterized systematic differences in PK between subgroups of subjects. Conclusion. The administration of nab-paclitaxel via the nano-immunoconjugate formulation led to increased clearance for paclitaxel consistent with known clearance mechanisms for therapeutic antibodies. The differences in drug clearance among patients were primarily attributable to covariates BSA and gender. These findings are crucial for identifying safe and effective dosing regimens and informing future clinical simulations.
利益披露 Disclosure
M. B. Chama, None. M. S. Block, Sorrento Therapeutics ). Alkermes ). Bristol-Myers Squibb ). Genentech ). Merck ). nFerence ). Perspective Therapeutics ). Regeneron ). TILT Biotherapeutics ). Transgene ). V. J. Suman, None.. J. M. Reid, None.

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