Literature DB >> 17688495

A parallel phase I/II clinical trial design for combination therapies.

Xuelin Huang1, Swati Biswas, Yasuhiro Oki, Jean-Pierre Issa, Donald A Berry.   

Abstract

The use of multiple drugs in a single clinical trial or as a therapeutic strategy has become common, particularly in the treatment of cancer. Because traditional trials are designed to evaluate one agent at a time, the evaluation of therapies in combination requires specialized trial designs. In place of the traditional separate phase I and II trials, we propose using a parallel phase I/II clinical trial to evaluate simultaneously the safety and efficacy of combination dose levels, and select the optimal combination dose. The trial is started with an initial period of dose escalation, then patients are randomly assigned to admissible dose levels. These dose levels are compared with each other. Bayesian posterior probabilities are used in the randomization to adaptively assign more patients to doses with higher efficacy levels. Combination doses with lower efficacy are temporarily closed and those with intolerable toxicity are eliminated from the trial. The trial is stopped if the posterior probability for safety, efficacy, or futility crosses a prespecified boundary. For illustration, we apply the design to a combination chemotherapy trial for leukemia. We use simulation studies to assess the operating characteristics of the parallel phase I/II trial design, and compare it to a conventional design for a standard phase I and phase II trial. The simulations show that the proposed design saves sample size, has better power, and efficiently assigns more patients to doses with higher efficacy levels.

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Year:  2007        PMID: 17688495     DOI: 10.1111/j.1541-0420.2006.00685.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  34 in total

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Review 2.  Adaptive clinical trials in oncology.

Authors:  Donald A Berry
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3.  A hybrid phase I-II/III clinical trial design allowing dose re-optimization in phase III.

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Journal:  Biometrics       Date:  2019-04-03       Impact factor: 2.571

4.  Adaptive clinical trial designs in oncology.

Authors:  Yong Zang; J Jack Lee
Journal:  Chin Clin Oncol       Date:  2014-12

5.  BAYESIAN PHASE I/II ADAPTIVELY RANDOMIZED ONCOLOGY TRIALS WITH COMBINED DRUGS.

Authors:  Ying Yuan; Guosheng Yin
Journal:  Ann Appl Stat       Date:  2011-01-01       Impact factor: 2.083

6.  From Famine to Feast: Developing Early-Phase Combination Immunotherapy Trials Wisely.

Authors:  Daphne Day; Arta M Monjazeb; Elad Sharon; S Percy Ivy; Eric H Rubin; Gary L Rosner; Marcus O Butler
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7.  Phase I dose-escalation trial of the oral AKT inhibitor uprosertib in combination with the oral MEK1/MEK2 inhibitor trametinib in patients with solid tumors.

Authors:  Anthony W Tolcher; Razelle Kurzrock; Vincente Valero; Rene Gonzalez; Rebecca S Heist; Antoinette R Tan; Julie Means-Powell; Theresa L Werner; Carlos Becerra; Chenxi Wang; Cathrine Leonowens; Shanker Kalyana-Sundaram; Joseph F Kleha; Jennifer Gauvin; Anthony M D'Amelio; Catherine Ellis; Nageatte Ibrahim; Li Yan
Journal:  Cancer Chemother Pharmacol       Date:  2020-02-15       Impact factor: 3.333

8.  Report of a phase 1/2 study of a combination of azacitidine and cytarabine in acute myelogenous leukemia and high-risk myelodysplastic syndromes.

Authors:  Gautam Borthakur; Xuelin Huang; Hagop Kantarjian; Stefan Faderl; Farhad Ravandi; Alessandra Ferrajoli; Ritva Torma; Gail Morris; Donald Berry; Jean-Pierre Issa
Journal:  Leuk Lymphoma       Date:  2010-01

9.  Bayesian continual reassessment method for dose-finding trials infusing T cells with limited sample size.

Authors:  Yuan Ji; Lei Feng; Ping Liu; Elizabeth J Shpall; Partow Kebriaei; Richard Champlin; Donald Berry; Laurence J N Cooper
Journal:  J Biopharm Stat       Date:  2012       Impact factor: 1.051

10.  A Bayesian seamless phase I-II trial design with two stages for cancer clinical trials with drug combinations.

Authors:  José L Jiménez; Sungjin Kim; Mourad Tighiouart
Journal:  Biom J       Date:  2020-03-09       Impact factor: 2.207

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