Rapid enrollment design for finding the optimal dose in immunotherapy trials with ordered groups.

TitleRapid enrollment design for finding the optimal dose in immunotherapy trials with ordered groups.
Publication TypeJournal Article
Year of Publication2019
AuthorsXue, Xiaoqiang, Matthew C. Foster, and Anastasia Ivanova
JournalJ Biopharm Stat
Volume29
Issue4
Pagination625-634
Date Published2019
ISSN1520-5711
KeywordsBayes Theorem, Clinical Trials as Topic, Computer Simulation, Dose-Response Relationship, Drug, Humans, Immunotherapy, Research Design
Abstract

In immunotherapy dose-finding trials, the optimal dose is usually defined based on both toxicity and response because the relationship between toxicity and response is different than that seen with cytotoxic anti-neoplastic therapies. In immunotherapy trials, toxicity and response often require a longer follow-up time compared to trials with cytotoxic agents. The rapid enrollment design has been proposed for dose-finding trials to find the maximum-tolerated dose where the follow-up for toxicity is long and it is desirable to assign a patient to a dose of a new therapy as soon as the patient is enrolled. We extend the rapid enrollment design to immunotherapy trials to find the optimal dose. We further describe how to use the design in immunotherapy trials with ordered groups where efficacy and safety considerations dictate running dose-finding trials in each group separately as efficacy and toxicity at the same dose can vary across groups. The estimation of the optimal dose in each of the groups can be improved in many, but not all, cases by using the monotonicity of toxicity and response among groups.

DOI10.1080/10543406.2019.1633654
Alternate JournalJ Biopharm Stat
Original PublicationRapid enrollment design for finding the optimal dose in immunotherapy trials with ordered groups.
PubMed ID31251112
PubMed Central IDPMC6791120
Grant ListP01 CA142538 / CA / NCI NIH HHS / United States
P30 CA016086 / CA / NCI NIH HHS / United States
Project: