Phase I clinical trial designs in oncology: A systematic literature review from 2020 to 2022

Abstract Background: Phase I clinical trials aim to find the highest dose of a novel drug that may be administrated safely without having serious adverse effects. Model-based designs have recently become popular in dose-finding procedures. Our objective is to provide an overview of phase I clinica...

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Main Authors: Ning Li, Xitong Zhou, Donglin Yan
Format: Article
Language:English
Published: Cambridge University Press 2024-01-01
Series:Journal of Clinical and Translational Science
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Online Access:https://www.cambridge.org/core/product/identifier/S2059866124005995/type/journal_article
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author Ning Li
Xitong Zhou
Donglin Yan
author_facet Ning Li
Xitong Zhou
Donglin Yan
author_sort Ning Li
collection DOAJ
description Abstract Background: Phase I clinical trials aim to find the highest dose of a novel drug that may be administrated safely without having serious adverse effects. Model-based designs have recently become popular in dose-finding procedures. Our objective is to provide an overview of phase I clinical trials in oncology. Methods: A retrospective analysis of phase I clinical trials in oncology was performed by using the PubMed database between January 1, 2020, and December 31, 2022. We extracted all papers with the inclusion of trials in oncology and kept only those in which dose escalation or/ and dose expansion were conducted. We also compared the study parameters, design parameters, and patient parameters between industry-sponsored studies and academia-sponsored research. Result: Among the 1450 papers retrieved, 256 trials described phase I clinical trials in oncology. Overall, 71.1% of trials were done with a single study cohort, 56.64% of trials collected a group of at least 20 study volunteers, 55.1% were sponsored by industry, and 99.2% of trials had less than 10 patients who experienced DLTs. The traditional 3 + 3 (73.85%) was still the most prevailing method for the dose-escalation approach. More than 50% of the trials did not reach MTDs. Industry-sponsored study enrolled more patients in dose-escalation trials with benefits of continental cooperation. Compared to previous findings, the usage of model-based design increased to about 10%, and the percentage of traditional 3 + 3 design decreased to 74%. Conclusions: Phase I traditional 3 + 3 designs perform well, but there is still room for development in novel model-based dose-escalation designs in clinical practice.
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spelling doaj-art-4d6ad1c5842b4c60b60b87b912f15cb22025-08-20T01:54:31ZengCambridge University PressJournal of Clinical and Translational Science2059-86612024-01-01810.1017/cts.2024.599Phase I clinical trial designs in oncology: A systematic literature review from 2020 to 2022Ning Li0Xitong Zhou1Donglin Yan2https://orcid.org/0000-0002-5111-9437Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, KY, USA Markey Cancer Center, University of Kentucky, Lexington, KY, USADr. Bing Zhang Department of Statistics, University of Kentucky, Lexington, KY, USAMarkey Cancer Center, University of Kentucky, Lexington, KY, USA Abstract Background: Phase I clinical trials aim to find the highest dose of a novel drug that may be administrated safely without having serious adverse effects. Model-based designs have recently become popular in dose-finding procedures. Our objective is to provide an overview of phase I clinical trials in oncology. Methods: A retrospective analysis of phase I clinical trials in oncology was performed by using the PubMed database between January 1, 2020, and December 31, 2022. We extracted all papers with the inclusion of trials in oncology and kept only those in which dose escalation or/ and dose expansion were conducted. We also compared the study parameters, design parameters, and patient parameters between industry-sponsored studies and academia-sponsored research. Result: Among the 1450 papers retrieved, 256 trials described phase I clinical trials in oncology. Overall, 71.1% of trials were done with a single study cohort, 56.64% of trials collected a group of at least 20 study volunteers, 55.1% were sponsored by industry, and 99.2% of trials had less than 10 patients who experienced DLTs. The traditional 3 + 3 (73.85%) was still the most prevailing method for the dose-escalation approach. More than 50% of the trials did not reach MTDs. Industry-sponsored study enrolled more patients in dose-escalation trials with benefits of continental cooperation. Compared to previous findings, the usage of model-based design increased to about 10%, and the percentage of traditional 3 + 3 design decreased to 74%. Conclusions: Phase I traditional 3 + 3 designs perform well, but there is still room for development in novel model-based dose-escalation designs in clinical practice. https://www.cambridge.org/core/product/identifier/S2059866124005995/type/journal_articleDose-escalation designdose expansiondose-limiting toxicitymaximum tolerated dosephase i trials
spellingShingle Ning Li
Xitong Zhou
Donglin Yan
Phase I clinical trial designs in oncology: A systematic literature review from 2020 to 2022
Journal of Clinical and Translational Science
Dose-escalation design
dose expansion
dose-limiting toxicity
maximum tolerated dose
phase i trials
title Phase I clinical trial designs in oncology: A systematic literature review from 2020 to 2022
title_full Phase I clinical trial designs in oncology: A systematic literature review from 2020 to 2022
title_fullStr Phase I clinical trial designs in oncology: A systematic literature review from 2020 to 2022
title_full_unstemmed Phase I clinical trial designs in oncology: A systematic literature review from 2020 to 2022
title_short Phase I clinical trial designs in oncology: A systematic literature review from 2020 to 2022
title_sort phase i clinical trial designs in oncology a systematic literature review from 2020 to 2022
topic Dose-escalation design
dose expansion
dose-limiting toxicity
maximum tolerated dose
phase i trials
url https://www.cambridge.org/core/product/identifier/S2059866124005995/type/journal_article
work_keys_str_mv AT ningli phaseiclinicaltrialdesignsinoncologyasystematicliteraturereviewfrom2020to2022
AT xitongzhou phaseiclinicaltrialdesignsinoncologyasystematicliteraturereviewfrom2020to2022
AT donglinyan phaseiclinicaltrialdesignsinoncologyasystematicliteraturereviewfrom2020to2022