Literature DB >> 27742793

Toxicity and Efficacy Probability Interval Design for Phase I Adoptive Cell Therapy Dose-Finding Clinical Trials.

Daniel H Li1, James B Whitmore1, Wentian Guo2, Yuan Ji3.   

Abstract

Recent trials of adoptive cell therapy (ACT), such as the chimeric antigen receptor (CAR) T-cell therapy, have demonstrated promising therapeutic effects for cancer patients. A main issue in the product development is to determine the appropriate dose of ACT. Traditional phase I trial designs for cytotoxic agents explicitly assume that toxicity increases monotonically with dose levels and implicitly assume the same for efficacy to justify dose escalation. ACT usually induces rapid responses, and the monotonic dose-response assumption is unlikely to hold due to its immunobiologic activities. We propose a toxicity and efficacy probability interval (TEPI) design for dose finding in ACT trials. This approach incorporates efficacy outcomes to inform dosing decisions to optimize efficacy and safety simultaneously. Rather than finding the maximum tolerated dose (MTD), the TEPI design is aimed at finding the dose with the most desirable outcome for safety and efficacy. The key features of TEPI are its simplicity, flexibility, and transparency, because all decision rules can be prespecified prior to trial initiation. We conduct simulation studies to investigate the operating characteristics of the TEPI design and compare it to existing methods. In summary, the TEPI design is a novel method for ACT dose finding, which possesses superior performance and is easy to use, simple, and transparent. Clin Cancer Res; 23(1); 13-20. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 27742793     DOI: 10.1158/1078-0432.CCR-16-1125

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  9 in total

1.  BOIN12: Bayesian Optimal Interval Phase I/II Trial Design for Utility-Based Dose Finding in Immunotherapy and Targeted Therapies.

Authors:  Ruitao Lin; Yanhong Zhou; Fangrong Yan; Daniel Li; Ying Yuan
Journal:  JCO Precis Oncol       Date:  2020-11-16

2.  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 3.  An overview of the BOIN design and its current extensions for novel early-phase oncology trials.

Authors:  Revathi Ananthakrishnan; Ruitao Lin; Chunsheng He; Yanping Chen; Daniel Li; Michael LaValley
Journal:  Contemp Clin Trials Commun       Date:  2022-06-13

Review 4.  Chimeric antigen receptor T-cell therapies: Optimising the dose.

Authors:  Nathaniel Dasyam; Philip George; Robert Weinkove
Journal:  Br J Clin Pharmacol       Date:  2020-03-24       Impact factor: 4.335

5.  Quantifying the limits of CAR T-cell delivery in mice and men.

Authors:  Liam V Brown; Eamonn A Gaffney; Ann Ager; Jonathan Wagg; Mark C Coles
Journal:  J R Soc Interface       Date:  2021-03-03       Impact factor: 4.118

6.  Quantitative Translation in Immuno-Oncology Research and Development.

Authors:  Dean Bottino; Rachael Liu; Hojjat Bazzazi; Karthik Venkatakrishnan
Journal:  Clin Pharmacol Ther       Date:  2020-07-09       Impact factor: 6.875

7.  A software tool for both the maximum tolerated dose and the optimal biological dose finding trials in early phase designs.

Authors:  Chen Li; Hongying Sun; Cheng Cheng; Li Tang; Haitao Pan
Journal:  Contemp Clin Trials Commun       Date:  2022-09-13

8.  Extensions of the mTPI and TEQR designs to include non-monotone efficacy in addition to toxicity for optimal dose determination for early phase immunotherapy oncology trials.

Authors:  Revathi Ananthakrishnan; Stephanie Green; Daniel Li; Michael LaValley
Journal:  Contemp Clin Trials Commun       Date:  2018-01-31

9.  2D (2 Dimensional) TEQR design for Determining the optimal Dose for safety and efficacy.

Authors:  Revathi Ananthakrishnan; Stephanie Green; Daniel Li; Michael LaValley
Journal:  Contemp Clin Trials Commun       Date:  2019-10-12
  9 in total

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