Literature DB >> 24530487

Escalation with overdose control using all toxicities and time to event toxicity data in cancer Phase I clinical trials.

Zhengjia Chen1, Ye Cui2, Taofeek K Owonikoko3, Zhibo Wang4, Zheng Li5, Ruiyan Luo6, Michael Kutner5, Fadlo R Khuri3, Jeanne Kowalski7.   

Abstract

The primary purposes of Phase I cancer clinical trials are to determine the maximum tolerated dose (MTD) and the treatment schedule of a new drug. Phase I trials usually involve a small number of patients so that fully utilizing all toxicity information including time to event toxicity data is key to improving the trial efficiency and the accuracy of MTD estimation. Chen et al. proposed a novel normalized equivalent toxicity score (NETS) system to fully utilize multiple toxicities per patient instead of a binary indicator of dose limiting toxicity (DLT). Cheung and Chappell developed the time to toxicity event (TITE) approach to incorporate time to toxicity event data. Escalation with overdose control (EWOC) is an adaptive Bayesian Phase I design which can allow rapid dose escalation while controlling the probability of overdosing patients. In this manuscript, we use EWOC as a framework and integrate it with the NETS system and the TITE approach to develop an advanced Phase I design entitled EWOC-NETS-TITE. We have conducted simulation studies to compare its operating characteristics using selected derived versions of EWOC because EWOC itself has already been extensively compared with common Phase I designs [3]. Simulation results demonstrate that EWOC-NETS-TITE can substantially improve the trial efficiency and accuracy of MTD determination as well as allow patients to be entered in a staggered fashion to significantly shorten trial duration. Moreover, user-friendly software for EWOC-NETS-TITE is under development.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Escalation with overdose control; Multiple toxicities; Normalized equivalent toxicity score; Phase I clinical trial; Quasi-continuous; Time to toxicity event

Mesh:

Substances:

Year:  2014        PMID: 24530487      PMCID: PMC4046505          DOI: 10.1016/j.cct.2014.02.004

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  19 in total

1.  Range and trend of expected toxicity level (ETL) in standard A + B designs: a report from the Children's Oncology Group.

Authors:  Zhengjia Chen; Mark D Krailo; Junfeng Sun; Stanley P Azen
Journal:  Contemp Clin Trials       Date:  2008-10-29       Impact factor: 2.226

2.  Some practical improvements in the continual reassessment method for phase I studies.

Authors:  S N Goodman; M L Zahurak; S Piantadosi
Journal:  Stat Med       Date:  1995-06-15       Impact factor: 2.373

3.  A phase I/II trial combining high-dose melphalan and autologous transplant with bortezomib for multiple myeloma: a dose- and schedule-finding study.

Authors:  Sagar Lonial; Jonathan Kaufman; Mourad Tighiouart; Ajay Nooka; Amelia A Langston; Leonard T Heffner; Claire Torre; Stephanie McMillan; Heather Renfroe; R Donald Harvey; Mary J Lechowicz; H Jean Khoury; Christopher R Flowers; Edmund K Waller
Journal:  Clin Cancer Res       Date:  2010-08-25       Impact factor: 12.531

4.  Sequential designs for phase I clinical trials with late-onset toxicities.

Authors:  Y K Cheung; R Chappell
Journal:  Biometrics       Date:  2000-12       Impact factor: 2.571

5.  Phase I dose escalation, pharmacokinetic and pharmacodynamic study of naptumomab estafenatox alone in patients with advanced cancer and with docetaxel in patients with advanced non-small-cell lung cancer.

Authors:  Hossein Borghaei; Katherine Alpaugh; Gunnar Hedlund; Göran Forsberg; Corey Langer; Andre Rogatko; Robert Hawkins; Svein Dueland; Ulrik Lassen; Roger B Cohen
Journal:  J Clin Oncol       Date:  2009-07-27       Impact factor: 44.544

6.  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

7.  Risk-group-specific dose finding based on an average toxicity score.

Authors:  B Nebiyou Bekele; Yisheng Li; Yuan Ji
Journal:  Biometrics       Date:  2009-07-23       Impact factor: 2.571

8.  Individualized patient dosing in phase I clinical trials: the role of escalation with overdose control in PNU-214936.

Authors:  Jonathan D Cheng; James S Babb; Corey Langer; Steinar Aamdal; Francisco Robert; Lars Rupert Engelhardt; Olov Fernberg; Joan Schiller; Goran Forsberg; R Katherine Alpaugh; Louis M Weiner; André Rogatko
Journal:  J Clin Oncol       Date:  2004-02-15       Impact factor: 44.544

9.  The continual reassessment method for multiple toxicity grades: a Bayesian quasi-likelihood approach.

Authors:  Z Yuan; R Chappell; H Bailey
Journal:  Biometrics       Date:  2007-03       Impact factor: 2.571

10.  A phase 1 Bayesian dose selection study of bortezomib and sunitinib in patients with refractory solid tumor malignancies.

Authors:  R D Harvey; T K Owonikoko; C M Lewis; A Akintayo; Z Chen; M Tighiouart; S S Ramalingam; M P Fanucchi; P Nadella; A Rogatko; D M Shin; B El-Rayes; F R Khuri; J S Kauh
Journal:  Br J Cancer       Date:  2013-01-15       Impact factor: 7.640

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  5 in total

1.  Dose escalation with over-dose and under-dose controls in Phase I/II clinical trials.

Authors:  Zhengjia Chen; Ying Yuan; Zheng Li; Michael Kutner; Taofeek Owonikoko; Walter J Curran; Fadlo Khuri; Jeanne Kowalski
Journal:  Contemp Clin Trials       Date:  2015-05-24       Impact factor: 2.226

2.  High dose lansoprazole combined with metronomic chemotherapy: a phase I/II study in companion animals with spontaneously occurring tumors.

Authors:  Enrico P Spugnini; Sabrina Buglioni; Francesca Carocci; Menicagli Francesco; Bruno Vincenzi; Maurizio Fanciulli; Stefano Fais
Journal:  J Transl Med       Date:  2014-08-21       Impact factor: 5.531

3.  Adaptive Estimation of Personalized Maximum Tolerated Dose in Cancer Phase I Clinical Trials Based on All Toxicities and Individual Genomic Profile.

Authors:  Zhengjia Chen; Zheng Li; Run Zhuang; Ying Yuan; Michael Kutner; Taofeek Owonikoko; Walter J Curran; Jeanne Kowalski
Journal:  PLoS One       Date:  2017-01-26       Impact factor: 3.240

4.  Interactive calculator for operating characteristics of phase I cancer clinical trials using standard 3+3 designs.

Authors:  Zhengjia Chen; Youyun Zheng; Zhibo Wang; Michael Kutner; Walter J Curran; Jeanne Kowalski
Journal:  Contemp Clin Trials Commun       Date:  2018-11-07

5.  Proportional odds assumption for modeling longitudinal ordinal multiple toxicity outcomes in dose finding studies of targeted agents: A pooled analysis of 54 studies.

Authors:  Damien Drubay; Laurence Collette; Xavier Paoletti
Journal:  Contemp Clin Trials Commun       Date:  2020-01-25
  5 in total

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