Asset Details
Do you wish to reserve the book?
Application of time-dependent modeling for the exposure–efficacy analysis of ceritinib in untreated ALK-rearranged advanced NSCLC patients
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Application of time-dependent modeling for the exposure–efficacy analysis of ceritinib in untreated ALK-rearranged advanced NSCLC patients
Do you wish to request the book?
Application of time-dependent modeling for the exposure–efficacy analysis of ceritinib in untreated ALK-rearranged advanced NSCLC patients
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Application of time-dependent modeling for the exposure–efficacy analysis of ceritinib in untreated ALK-rearranged advanced NSCLC patients
2019
Overview
PurposeCeritinib 750 mg/day was approved for the treatment of patients with untreated anaplastic lymphoma kinase (ALK)-rearranged non-small cell lung cancer (NSCLC) based on ASCEND-4 study. The objective of this article is to introduce the use of time-dependent modeling approach in the updated exposure–efficacy analysis of ceritinib for the first-line indication.MethodsExposure–efficacy analyses, including data from 156 patients, were first conducted using time-independent logistic regression model for response of complete or partial response and Cox regression model for progression-free survival (PFS). The exposure measure used was average Ctrough, which is defined as the geometric mean of all evaluable Ctrough for each patient. To further investigate the impact of exposure measure on exposure–efficacy analyses, a time-dependent modeling approach was used, where exposure at different time intervals was associated with the corresponding response endpoints in a longitudinal manner.ResultsWith exposure measure being average Ctrough, it was observed that higher exposure was associated with reduced efficacy in terms of response (odds ratio = 0.77) and PFS [hazard ratio (HR) = 1.12]. These time-independent models do not account for the impact of time-varying concentration due to dose modifications. Subsequently, a new time-dependent modeling approach was used, where exposure and efficacy were associated longitudinally in the analyses. The results showed that the odds ratio of response became 1.07, and the HR of PFS became 1.04, indicating no apparent reverse relationship between exposure and efficacy across the exposure range studied.ConclusionThe drug effect on efficacy in clinical trials could be better characterized using time-dependent exposure–response models.
Publisher
Springer Nature B.V
