Literature DB >> 24470329

Phase I/II adaptive design for drug combination oncology trials.

Nolan A Wages1, Mark R Conaway.   

Abstract

Existing statistical methodology on dose finding for combination chemotherapies has focused on toxicity considerations alone in finding a maximum tolerated dose combination to recommend for further testing of efficacy in a phase II setting. Recently, there has been increasing interest in integrating phase I and phase II trials in order to facilitate drug development. In this article, we propose a new adaptive phase I/II method for dual-agent combinations that takes into account both toxicity and efficacy after each cohort inclusion. The primary objective, both within and at the conclusion of the trial, becomes finding a single dose combination with an acceptable level of toxicity that maximizes efficacious response. We assume that there exist monotone dose-toxicity and dose-efficacy relationships among doses of one agent when the dose of other agent is fixed. We perform extensive simulation studies that demonstrate the operating characteristics of our proposed approach, and we compare simulated results to existing methodology in phase I/II design for combinations of agents.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  adaptive randomization; continual reassessment method; dose finding; drug combination; phase II

Mesh:

Year:  2014        PMID: 24470329      PMCID: PMC4258389          DOI: 10.1002/sim.6097

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  22 in total

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Authors:  J O'Quigley; M D Hughes; T Fenton
Journal:  Biometrics       Date:  2001-12       Impact factor: 2.571

2.  Designs for single- or multiple-agent phase I trials.

Authors:  Mark R Conaway; Stephanie Dunbar; Shyamal D Peddada
Journal:  Biometrics       Date:  2004-09       Impact factor: 2.571

3.  Two-dimensional dose finding in discrete dose space.

Authors:  Kai Wang; Anastasia Ivanova
Journal:  Biometrics       Date:  2005-03       Impact factor: 2.571

4.  A parallel phase I/II clinical trial design for combination therapies.

Authors:  Xuelin Huang; Swati Biswas; Yasuhiro Oki; Jean-Pierre Issa; Donald A Berry
Journal:  Biometrics       Date:  2007-06       Impact factor: 2.571

5.  BAYESIAN PHASE I/II ADAPTIVELY RANDOMIZED ONCOLOGY TRIALS WITH COMBINED DRUGS.

Authors:  Ying Yuan; Guosheng Yin
Journal:  Ann Appl Stat       Date:  2011-01-01       Impact factor: 2.083

6.  Design and analysis of phase I clinical trials.

Authors:  B E Storer
Journal:  Biometrics       Date:  1989-09       Impact factor: 2.571

7.  A hierarchical Bayesian design for phase I trials of novel combinations of cancer therapeutic agents.

Authors:  Thomas M Braun; Shufang Wang
Journal:  Biometrics       Date:  2010-09       Impact factor: 2.571

8.  A strategy for dose-finding and safety monitoring based on efficacy and adverse outcomes in phase I/II clinical trials.

Authors:  P F Thall; K E Russell
Journal:  Biometrics       Date:  1998-03       Impact factor: 2.571

9.  Dose--schedule finding in phase I/II clinical trials using a Bayesian isotonic transformation.

Authors:  Yisheng Li; B Nebiyou Bekele; Yuan Ji; John D Cook
Journal:  Stat Med       Date:  2008-10-30       Impact factor: 2.373

10.  The bivariate continual reassessment method. extending the CRM to phase I trials of two competing outcomes.

Authors:  Thomas M Braun
Journal:  Control Clin Trials       Date:  2002-06
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  19 in total

1.  A robust Bayesian dose-finding design for phase I/II clinical trials.

Authors:  Suyu Liu; Valen E Johnson
Journal:  Biostatistics       Date:  2015-10-20       Impact factor: 5.899

2.  Implementation of a Model-Based Design in a Phase Ib Study of Combined Targeted Agents.

Authors:  Nolan A Wages; Craig A Portell; Michael E Williams; Mark R Conaway; Gina R Petroni
Journal:  Clin Cancer Res       Date:  2017-07-21       Impact factor: 12.531

3.  Statistical controversies in clinical research: early-phase adaptive design for combination immunotherapies.

Authors:  N A Wages; C L Slingluff; G R Petroni
Journal:  Ann Oncol       Date:  2017-04-01       Impact factor: 32.976

4.  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

5.  AAA: triple adaptive Bayesian designs for the identification of optimal dose combinations in dual-agent dose finding trials.

Authors:  Jiaying Lyu; Yuan Ji; Naiqing Zhao; Daniel V T Catenacci
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2018-06-13       Impact factor: 1.864

Review 6.  Practical designs for Phase I combination studies in oncology.

Authors:  Nolan A Wages; Anastasia Ivanova; Olga Marchenko
Journal:  J Biopharm Stat       Date:  2016       Impact factor: 1.051

7.  A Phase I/II adaptive design for heterogeneous groups with application to a stereotactic body radiation therapy trial.

Authors:  Nolan A Wages; Paul W Read; Gina R Petroni
Journal:  Pharm Stat       Date:  2015-05-11       Impact factor: 1.894

8.  Dose-finding designs for trials of molecularly targeted agents and immunotherapies.

Authors:  Cody Chiuzan; Jonathan Shtaynberger; Gulam A Manji; Jimmy K Duong; Gary K Schwartz; Anastasia Ivanova; Shing M Lee
Journal:  J Biopharm Stat       Date:  2017-02-06       Impact factor: 1.051

9.  Parametric Dose Standardization for Optimizing Two-Agent Combinations in a Phase I-II Trial with Ordinal Outcomes.

Authors:  Peter F Thall; Hoang Q Nguyen; Ralph G Zinner
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2016-06-11       Impact factor: 1.864

10.  A Bayesian seamless phase I-II trial design with two stages for cancer clinical trials with drug combinations.

Authors:  José L Jiménez; Sungjin Kim; Mourad Tighiouart
Journal:  Biom J       Date:  2020-03-09       Impact factor: 2.207

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