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Basket Designs: Statistical Considerations for Oncology Trials
Author(s) -
Alexander Kaizer,
Joseph S. Koopmeiners,
Michael J. Kane,
Satrajit Roychoudhury,
David S. Hong,
Brian P. Hobbs
Publication year - 2019
Publication title -
jco precision oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.405
H-Index - 22
ISSN - 2473-4284
DOI - 10.1200/po.19.00194
Subject(s) - clinical trial , drug development , precision oncology , medicine , translational research , medical physics , clinical oncology , protocol (science) , clinical study design , translational science , oncology , cancer , drug , alternative medicine , pharmacology , pathology
Progress in the areas of genomics, disease pathways, and drug discovery has advanced into clinical and translational cancer research. The latest innovations in clinical trials have followed with master protocols, which are defined by inclusive eligibility criteria and devised to interrogate multiple therapies for a given tumor histology and/or multiple histologies for a given therapy under one protocol. The use of master protocols for oncology has become more common with the desire to improve the efficiency of clinical research and accelerate overall drug development. Basket trials have been devised to ascertain the extent to which a treatment strategy offers benefit to various patient subpopulations defined by a common molecular target. Conventionally conducted within the phase II setting, basket designs have become popular as drug developers seek to effectively evaluate and identify preliminary efficacy signals among clinical indications identified as promising in preclinical study. This article reviews basket trial designs in oncology settings and discusses several issues that arise with their design and analysis.

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