Unknown

Dataset Information

0

Exposure-Response-Based Product Profile-Driven Clinical Utility Index for Ipatasertib Dose Selection in Prostate Cancer.


ABSTRACT: The aims of this work were to characterize ipatasertib exposure-response (E-R) relationships in a phase II study and to quantitatively assess benefit-risk using a clinical utility index approach to support ipatasertib phase III dose selection in patients with metastatic castration-resistant prostate cancer. Logistic regression and Cox proportional-hazards models characterized E-R relationships for safety and efficacy endpoints, respectively. Exposure metrics with and without considering dose interruptions/reductions (modifications) were tested in the E-R models. Despite a steeper E-R relationship when accounting for dose modifications, similar dose-response projections were generated. The clinical utility index analysis assessed important attributes, weights, and clinically meaningful cutoff/tradeoff values based on predefined minimal, target, and optimistic product profiles. Ipatasertib 400 mg daily, showing the highest probability of achieving the minimal product profiles and better benefit-risk balance than other doses (200-500 mg daily), was selected for further development in metastatic castration-resistant prostate cancer.

SUBMITTER: Zhu R 

PROVIDER: S-EPMC6482275 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

Exposure-Response-Based Product Profile-Driven Clinical Utility Index for Ipatasertib Dose Selection in Prostate Cancer.

Zhu Rui R   Poland Bill B   Wada Russ R   Liu Qi Q   Musib Luna L   Maslyar Daniel D   Cho Eunpi E   Yu Wei W   Ma Han H   Jin Jin Yan JY   Budha Nageshwar N  

CPT: pharmacometrics & systems pharmacology 20190306 4


The aims of this work were to characterize ipatasertib exposure-response (E-R) relationships in a phase II study and to quantitatively assess benefit-risk using a clinical utility index approach to support ipatasertib phase III dose selection in patients with metastatic castration-resistant prostate cancer. Logistic regression and Cox proportional-hazards models characterized E-R relationships for safety and efficacy endpoints, respectively. Exposure metrics with and without considering dose int  ...[more]

Similar Datasets

| S-EPMC5718669 | biostudies-literature
| S-EPMC4845113 | biostudies-literature
| S-EPMC5930075 | biostudies-literature
| S-EPMC3828008 | biostudies-other
| S-EPMC3651207 | biostudies-other
| S-EPMC7474663 | biostudies-literature
| S-EPMC6983955 | biostudies-literature
| S-EPMC4846783 | biostudies-literature
| S-EPMC5846119 | biostudies-literature
| S-EPMC4549093 | biostudies-literature