Literature DB >> 31251112

Rapid enrollment design for finding the optimal dose in immunotherapy trials with ordered groups.

Xiaoqiang Xue1, Matthew C Foster2, Anastasia Ivanova3.   

Abstract

In immunotherapy dose-finding trials, the optimal dose is usually defined based on both toxicity and response because the relationship between toxicity and response is different than that seen with cytotoxic anti-neoplastic therapies. In immunotherapy trials, toxicity and response often require a longer follow-up time compared to trials with cytotoxic agents. The rapid enrollment design has been proposed for dose-finding trials to find the maximum-tolerated dose where the follow-up for toxicity is long and it is desirable to assign a patient to a dose of a new therapy as soon as the patient is enrolled. We extend the rapid enrollment design to immunotherapy trials to find the optimal dose. We further describe how to use the design in immunotherapy trials with ordered groups where efficacy and safety considerations dictate running dose-finding trials in each group separately as efficacy and toxicity at the same dose can vary across groups. The estimation of the optimal dose in each of the groups can be improved in many, but not all, cases by using the monotonicity of toxicity and response among groups.

Entities:  

Keywords:  Bayesian isotonic transformation; RED; optimal safe dose; ordered groups; phase 1/2 trials; rapid enrollment design

Year:  2019        PMID: 31251112      PMCID: PMC6791120          DOI: 10.1080/10543406.2019.1633654

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


  21 in total

1.  Dose-finding designs for HIV studies.

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2.  A new dose-finding design for bivariate outcomes.

Authors:  Anastasia Ivanova
Journal:  Biometrics       Date:  2003-12       Impact factor: 2.571

3.  Two-group time-to-event continual reassessment method using likelihood estimation.

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4.  Inducible caspase-9 suicide gene controls adverse effects from alloreplete T cells after haploidentical stem cell transplantation.

Authors:  Xiaoou Zhou; Gianpietro Dotti; Robert A Krance; Caridad A Martinez; Swati Naik; Rammurti T Kamble; April G Durett; Olga Dakhova; Barbara Savoldo; Antonio Di Stasi; David M Spencer; Yu-Feng Lin; Hao Liu; Bambi J Grilley; Adrian P Gee; Cliona M Rooney; Helen E Heslop; Malcolm K Brenner
Journal:  Blood       Date:  2015-05-14       Impact factor: 22.113

5.  T cells expressing CD19 chimeric antigen receptors for acute lymphoblastic leukaemia in children and young adults: a phase 1 dose-escalation trial.

Authors:  Daniel W Lee; James N Kochenderfer; Maryalice Stetler-Stevenson; Yongzhi K Cui; Cindy Delbrook; Steven A Feldman; Terry J Fry; Rimas Orentas; Marianna Sabatino; Nirali N Shah; Seth M Steinberg; Dave Stroncek; Nick Tschernia; Constance Yuan; Hua Zhang; Ling Zhang; Steven A Rosenberg; Alan S Wayne; Crystal L Mackall
Journal:  Lancet       Date:  2014-10-13       Impact factor: 79.321

6.  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

7.  Bivariate isotonic design for dose-finding with ordered groups.

Authors:  Anastasia Ivanova; Kai Wang
Journal:  Stat Med       Date:  2006-06-30       Impact factor: 2.373

Review 8.  Toxicities of Immunotherapy for the Practitioner.

Authors:  Jeffrey S Weber; James C Yang; Michael B Atkins; Mary L Disis
Journal:  J Clin Oncol       Date:  2015-04-27       Impact factor: 44.544

9.  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

10.  Continual reassessment method for ordered groups.

Authors:  John O'Quigley; Xavier Paoletti
Journal:  Biometrics       Date:  2003-06       Impact factor: 2.571

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