Literature DB >> 34213022

Seamless phase I/II design for novel anticancer agents with competing disease progression.

Lucie Biard1,2, Shing M Lee1, Bin Cheng1.   

Abstract

Molecularly targeted agents and immunotherapies have prolonged administration and complicated toxicity and efficacy profiles requiring longer toxicity observation windows and the inclusion of efficacy information to identify the optimal dose. Methods have been proposed to either jointly model toxicity and efficacy, or for prolonged observation windows. However, it is inappropriate to address these issues individually in the setting of dose-finding because longer toxicity windows increase the risk of patients experiencing disease progression and discontinuing the trial, with progression defining a competing event to toxicity, and progression-free survival being a commonly used efficacy endpoint. No method has been proposed to address this issue in a competing risk framework. We propose a seamless phase I/II design, namely the competing risks continual reassessment method (CR-CRM). Given an observation window, the objective is to recommend doses that minimize the progression probability, among a set of tolerable doses in terms of toxicity risk. In toxicity-centered stage of the design, doses are assigned based on toxicity alone, and in optimization stage of the design, doses are assigned integrating both toxicity and progression information. Design operating characteristics were examined in a simulation study compared with benchmark performances, including sensitivity to time-varying hazards and correlated events. The method performs well in selecting doses with acceptable toxicity risk and minimum progression risk across a wide range of scenarios.
© 2021 John Wiley & Sons Ltd.

Entities:  

Keywords:  competing risks; disease progression; dose-finding; oncology; survival data

Mesh:

Substances:

Year:  2021        PMID: 34213022      PMCID: PMC9202313          DOI: 10.1002/sim.9080

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.497


  36 in total

1.  Non-parametric optimal design in dose finding studies.

Authors:  John O'Quigley; Xavier Paoletti; Jean Maccario
Journal:  Biostatistics       Date:  2002-03       Impact factor: 5.899

2.  Simulating competing risks data in survival analysis.

Authors:  Jan Beyersmann; Aurélien Latouche; Anika Buchholz; Martin Schumacher
Journal:  Stat Med       Date:  2009-03-15       Impact factor: 2.373

3.  A benchmark for dose finding studies with continuous outcomes.

Authors:  Pavel Mozgunov; Thomas Jaki; Xavier Paoletti
Journal:  Biostatistics       Date:  2020-04-01       Impact factor: 5.899

4.  Phase I trials of molecularly targeted agents: should we pay more attention to late toxicities?

Authors:  Sophie Postel-Vinay; Carlos Gomez-Roca; L Rhoda Molife; Bhavesh Anghan; Antonin Levy; Ian Judson; Johann De Bono; Jean-Charles Soria; Stan Kaye; Xavier Paoletti
Journal:  J Clin Oncol       Date:  2011-03-28       Impact factor: 44.544

5.  Hazards of Hazard Ratios - Deviations from Model Assumptions in Immunotherapy.

Authors:  Brian M Alexander; Jonathan D Schoenfeld; Lorenzo Trippa
Journal:  N Engl J Med       Date:  2018-03-22       Impact factor: 91.245

6.  An adaptive dose-finding design based on both safety and immunologic responses in cancer clinical trials.

Authors:  Cody Chiuzan; Elizabeth Garrett-Mayer; Michael Nishimura
Journal:  Stat Biopharm Res       Date:  2018-04-30       Impact factor: 1.452

7.  A modified toxicity probability interval method for dose-finding trials.

Authors:  Yuan Ji; Ping Liu; Yisheng Li; B Nebiyou Bekele
Journal:  Clin Trials       Date:  2010-10-08       Impact factor: 2.486

8.  Cancer phase I clinical trials: efficient dose escalation with overdose control.

Authors:  J Babb; A Rogatko; S Zacks
Journal:  Stat Med       Date:  1998-05-30       Impact factor: 2.373

9.  Towards new methods for the determination of dose limiting toxicities and the assessment of the recommended dose for further studies of molecularly targeted agents--dose-Limiting Toxicity and Toxicity Assessment Recommendation Group for Early Trials of Targeted therapies, an European Organisation for Research and Treatment of Cancer-led study.

Authors:  Sophie Postel-Vinay; Laurence Collette; Xavier Paoletti; Elisa Rizzo; Christophe Massard; David Olmos; Camilla Fowst; Bernard Levy; Pierre Mancini; Denis Lacombe; Percy Ivy; Lesley Seymour; Christophe Le Tourneau; Lillian L Siu; Stan B Kaye; Jaap Verweij; Jean-Charles Soria
Journal:  Eur J Cancer       Date:  2014-05-28       Impact factor: 9.162

10.  A Bayesian adaptive phase I/II clinical trial design with late-onset competing risk outcomes.

Authors:  Yifei Zhang; Sha Cao; Chi Zhang; Ick Hoon Jin; Yong Zang
Journal:  Biometrics       Date:  2020-08-08       Impact factor: 1.701

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