Literature DB >> 17573866

Two-stage designs for dose-finding trials with a biologic endpoint using stepwise tests.

Mei-Yin Polley1, Ying Kuen Cheung.   

Abstract

We deal with the design problem of early phase dose-finding clinical trials with monotone biologic endpoints, such as biological measurements, laboratory values of serum level, and gene expression. A specific objective of this type of trial is to identify the minimum dose that exhibits adequate drug activity and shifts the mean of the endpoint from a zero dose to the so-called minimum effective dose. Stepwise test procedures for dose finding have been well studied in the context of nonhuman studies where the sampling plan is done in one stage. In this article, we extend the notion of stepwise testing to a two-stage enrollment plan in an attempt to reduce the potential sample size requirement by shutting down unpromising doses in a futility interim. In particular, we examine four two-stage designs and apply them to design a statin trial with four doses and a placebo in patients with Hodgkin's disease. We discuss the calibration of the design parameters and the implementation of these proposed methods. In the context of the statin trial, a calibrated two-stage design can reduce the average total sample size up to 38% (from 125 to 78) from a one-stage step-down test, while maintaining comparable error rates and probability of correct selection. The price for the reduction in the average sample size is the slight increase in the maximum total sample size from 125 to 130.

Entities:  

Mesh:

Year:  2007        PMID: 17573866     DOI: 10.1111/j.1541-0420.2007.00827.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  9 in total

Review 1.  Current challenges for the early clinical development of anticancer drugs in the era of molecularly targeted agents.

Authors:  Christophe Le Tourneau; Véronique Diéras; Patricia Tresca; Wulfran Cacheux; Xavier Paoletti
Journal:  Target Oncol       Date:  2010-04-02       Impact factor: 4.493

2.  Adaptive clinical trial designs in oncology.

Authors:  Yong Zang; J Jack Lee
Journal:  Chin Clin Oncol       Date:  2014-12

3.  A Phase I/II adaptive design to determine the optimal treatment regimen from a set of combination immunotherapies in high-risk melanoma.

Authors:  Nolan A Wages; Craig L Slingluff; Gina R Petroni
Journal:  Contemp Clin Trials       Date:  2015-01-29       Impact factor: 2.226

4.  Seamless Phase I/II Adaptive Design for Oncology Trials of Molecularly Targeted Agents.

Authors:  Nolan A Wages; Christopher Tait
Journal:  J Biopharm Stat       Date:  2014-06-06       Impact factor: 1.051

5.  Sample size formulae for the Bayesian continual reassessment method.

Authors:  Ying Kuen Cheung
Journal:  Clin Trials       Date:  2013-08-21       Impact factor: 2.486

6.  Bayesian dose-finding designs for combination of molecularly targeted agents assuming partial stochastic ordering.

Authors:  Beibei Guo; Yisheng Li
Journal:  Stat Med       Date:  2014-11-21       Impact factor: 2.373

7.  An information theoretic phase I-II design for molecularly targeted agents that does not require an assumption of monotonicity.

Authors:  Pavel Mozgunov; Thomas Jaki
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2018-06-15       Impact factor: 1.864

Review 8.  Dose escalation methods in phase I cancer clinical trials.

Authors:  Christophe Le Tourneau; J Jack Lee; Lillian L Siu
Journal:  J Natl Cancer Inst       Date:  2009-05-12       Impact factor: 13.506

9.  Bayesian designs of phase II oncology trials to select maximum effective dose assuming monotonic dose-response relationship.

Authors:  Beibei Guo; Yisheng Li
Journal:  BMC Med Res Methodol       Date:  2014-07-29       Impact factor: 4.615

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.