Literature DB >> 31264936

Generalization of the time-to-event continual reassessment method to bivariate outcomes.

Donglin Yan1, Christopher Tait2, Nolan A Wages3, Tamila Kindwall-Keller4, Emily V Dressler5.   

Abstract

This article considers the problem of designing Phase I-II clinical trials with delayed toxicity and efficacy outcomes. The proposed design is motivated by a Phase I-II study evaluating all-trans retinoic acid (ATRA) in combination with a fixed dose of daratumumab in the treatment of relapsed or refractory multiple myeloma. The primary objective of the study is to identify a dose that maximizes efficacy and has an acceptable level of toxicity. The toxicity endpoint is observed in one cycle of therapy (i.e., 4 weeks) while the efficacy endpoint is assessed after 8 weeks of treatment. The difference in endpoint observation windows causes logistical challenges in conducting the trial, since it is not practical to wait until both outcomes for each patient have been fully observed before sequentially assigning the dose of a newly eligible patient. In order to avoid delays in treatment for newly enrolled patients and to accelerate trial progress, we generalize the time-to-event continual reassessment method (TITE-CRM) to bivariate outcomes. Simulation studies are conducted to evaluate the proposed method, and we found that the proposed design is able to accurately select doses that maximize efficacy and have acceptable toxicity, while using all available information in allocating patients at the time of dose assignment. We compare the proposed methodology to two existing methods in the area.

Entities:  

Keywords:  Time-to-event; continual reassessment method; dose finding; molecularly targeted agent; optimal dose

Year:  2019        PMID: 31264936      PMCID: PMC6823630          DOI: 10.1080/10543406.2019.1634087

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  14 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.  An adaptive dose-finding design incorporating both toxicity and efficacy.

Authors:  Wei Zhang; Daniel J Sargent; Sumithra Mandrekar
Journal:  Stat Med       Date:  2006-07-30       Impact factor: 2.373

3.  Two-stage dose finding for cytostatic agents in phase I oncology trials.

Authors:  Guosheng Yin; Shurong Zheng; Jiajing Xu
Journal:  Stat Med       Date:  2012-08-01       Impact factor: 2.373

4.  Phase I/II dose-finding design for molecularly targeted agent: Plateau determination using adaptive randomization.

Authors:  Marie-Karelle Riviere; Ying Yuan; Jacques-Henri Jourdan; Frédéric Dubois; Sarah Zohar
Journal:  Stat Methods Med Res       Date:  2016-03-17       Impact factor: 3.021

5.  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

6.  Using Data Augmentation to Facilitate Conduct of Phase I-II Clinical Trials with Delayed Outcomes.

Authors:  Ick Hoon Jin; Suyu Liu; Peter F Thall; Ying Yuan
Journal:  J Am Stat Assoc       Date:  2014       Impact factor: 5.033

7.  Improved adaptive randomization strategies for a seamless Phase I/II dose-finding design.

Authors:  Donglin Yan; Nolan A Wages; Emily V Dressler
Journal:  J Biopharm Stat       Date:  2018-11-17       Impact factor: 1.051

8.  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

Review 9.  Unlocking the potential of retinoic acid in anticancer therapy.

Authors:  T Schenk; S Stengel; A Zelent
Journal:  Br J Cancer       Date:  2014-11-20       Impact factor: 7.640

10.  Potential relevance of bell-shaped and u-shaped dose-responses for the therapeutic targeting of angiogenesis in cancer.

Authors:  Andrew R Reynolds
Journal:  Dose Response       Date:  2010-04-23       Impact factor: 2.658

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