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Chapter

Biomarker-Based Phase II and III Clinical Trials in Oncology

Chapter

Biomarker-Based Phase II and III Clinical Trials in Oncology

DOI link for Biomarker-Based Phase II and III Clinical Trials in Oncology

Biomarker-Based Phase II and III Clinical Trials in Oncology book

Biomarker-Based Phase II and III Clinical Trials in Oncology

DOI link for Biomarker-Based Phase II and III Clinical Trials in Oncology

Biomarker-Based Phase II and III Clinical Trials in Oncology book

ByShigeyuki Matsui, Masataka Igeta, Kiichiro Toyoizumi
BookTextbook of Clinical Trials in Oncology

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Edition 1st Edition
First Published 2019
Imprint Chapman and Hall/CRC
Pages 24
eBook ISBN 9781315112084

ABSTRACT

This chapter provides an overview of phase II and III clinical trial designs that utilize predictive markers. After identifying fundamental elements of statistical evaluation of predictive markers, we outline top-down and bottom-up methods as basic adaptive design approaches to evaluate the profile of treatment effects across marker-defined subpopulations. We then discuss the application of these approaches to phase II trials, including single-arm and randomized phase II trials. A new emerging paradigm of clinical trial design to evaluate different marker-treatment combinations within or across histologically defined cancers in one overarching “master protocol” is also discussed. In phase III trials to confirm clinical utility of a combination of treatment and marker based on a true endpoint (such as overall survival), we discuss enrichment, sequential enrichment, and concurrent, all-comers design approaches. In all-comers, marker-stratified designs, after providing some arugments on the null hypotheses and the level of alpha control (i.e., weak or strong control), we outline various statistical analysis strategies across marker-defined subpopulations. For unstratified all-comers trials, we discuss adaptive design and prospective-retrospective approaches to develop and validate predictive markers or signatures. Lastly, marker-strategy designs for comparison of multiple strategies with regard to the use of new marker are briefly discussed.

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