Cargando…

A new pragmatic design for dose escalation in phase 1 clinical trials using an adaptive continual reassessment method

BACKGROUND: A key challenge in phase I trials is maintaining rapid escalation in order to avoid exposing too many patients to sub-therapeutic doses, while preserving safety by limiting the frequency of toxic events. Traditional rule-based designs require temporarily stopping recruitment whilst waiti...

Descripción completa

Detalles Bibliográficos
Autores principales: North, Bernard, Kocher, Hemant Mahendrakumar, Sasieni, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595589/
https://www.ncbi.nlm.nih.gov/pubmed/31242873
http://dx.doi.org/10.1186/s12885-019-5801-3
_version_ 1783430423064346624
author North, Bernard
Kocher, Hemant Mahendrakumar
Sasieni, Peter
author_facet North, Bernard
Kocher, Hemant Mahendrakumar
Sasieni, Peter
author_sort North, Bernard
collection PubMed
description BACKGROUND: A key challenge in phase I trials is maintaining rapid escalation in order to avoid exposing too many patients to sub-therapeutic doses, while preserving safety by limiting the frequency of toxic events. Traditional rule-based designs require temporarily stopping recruitment whilst waiting to see whether enrolled patients develop toxicity. This can be both inefficient and introduces logistic challenges to recruitment in the clinic. We describe a novel two-stage dose assignment procedure designed for a phase I clinical trial (STARPAC), where a good estimation of prior was possible. METHODS: The STARPAC design uses rule-based design until the first patient has a dose limiting toxicity (DLT) and then switches to a modified CRM, with rules to handle patient recruitment during follow-up of earlier patients. STARPAC design is compared via simulations with the TITE-CRM and 3 + 3 methods in various toxicity estimate (T1–5), rate of recruitment (R1–2), and DLT events timing (DT1–4), scenarios using several metrics: accuracy of maximum tolerated dose (MTD), numbers of DLTs, number of patients enrolled and those missed; duration of trial; and proportion of patients treated at the therapeutic dose or MTD. RESULTS: The simulations suggest that STARPAC design performed well in MTD estimation and in treating patients at the highest possible therapeutic levels. STARPAC and TITE-CRM were comparable in the number of patients required and DLTs incurred. The 3 + 3 design often had fewer patients and DLTs although this is due to its low escalation rate leading to poor MTD estimation. For the numbers of declined patients and MTD estimation 3 + 3 is uniformly worse, with STARPAC being better in those metrics for high toxicity scenarios and TITE-CRM better with low toxicity. In situations including doses with toxicities both above and below 30%, the STARPAC design outperformed TITE-CRM with respect to every metric. CONCLUSION: When considering doses with toxicities both above and below the target of 30% toxicities, the two-stage STARPAC dose escalation design provides a more efficient phase I trial design than either the traditional 3 + 3 or the TITE-CRM design. Trialists should model various designs via simulation to adopt the most efficient design for their clinical scenario. TRIAL REGISTRATION: Clinical Trials NCT03307148 (11 October 2017). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-5801-3) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6595589
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-65955892019-08-07 A new pragmatic design for dose escalation in phase 1 clinical trials using an adaptive continual reassessment method North, Bernard Kocher, Hemant Mahendrakumar Sasieni, Peter BMC Cancer Research Article BACKGROUND: A key challenge in phase I trials is maintaining rapid escalation in order to avoid exposing too many patients to sub-therapeutic doses, while preserving safety by limiting the frequency of toxic events. Traditional rule-based designs require temporarily stopping recruitment whilst waiting to see whether enrolled patients develop toxicity. This can be both inefficient and introduces logistic challenges to recruitment in the clinic. We describe a novel two-stage dose assignment procedure designed for a phase I clinical trial (STARPAC), where a good estimation of prior was possible. METHODS: The STARPAC design uses rule-based design until the first patient has a dose limiting toxicity (DLT) and then switches to a modified CRM, with rules to handle patient recruitment during follow-up of earlier patients. STARPAC design is compared via simulations with the TITE-CRM and 3 + 3 methods in various toxicity estimate (T1–5), rate of recruitment (R1–2), and DLT events timing (DT1–4), scenarios using several metrics: accuracy of maximum tolerated dose (MTD), numbers of DLTs, number of patients enrolled and those missed; duration of trial; and proportion of patients treated at the therapeutic dose or MTD. RESULTS: The simulations suggest that STARPAC design performed well in MTD estimation and in treating patients at the highest possible therapeutic levels. STARPAC and TITE-CRM were comparable in the number of patients required and DLTs incurred. The 3 + 3 design often had fewer patients and DLTs although this is due to its low escalation rate leading to poor MTD estimation. For the numbers of declined patients and MTD estimation 3 + 3 is uniformly worse, with STARPAC being better in those metrics for high toxicity scenarios and TITE-CRM better with low toxicity. In situations including doses with toxicities both above and below 30%, the STARPAC design outperformed TITE-CRM with respect to every metric. CONCLUSION: When considering doses with toxicities both above and below the target of 30% toxicities, the two-stage STARPAC dose escalation design provides a more efficient phase I trial design than either the traditional 3 + 3 or the TITE-CRM design. Trialists should model various designs via simulation to adopt the most efficient design for their clinical scenario. TRIAL REGISTRATION: Clinical Trials NCT03307148 (11 October 2017). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-5801-3) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-26 /pmc/articles/PMC6595589/ /pubmed/31242873 http://dx.doi.org/10.1186/s12885-019-5801-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
North, Bernard
Kocher, Hemant Mahendrakumar
Sasieni, Peter
A new pragmatic design for dose escalation in phase 1 clinical trials using an adaptive continual reassessment method
title A new pragmatic design for dose escalation in phase 1 clinical trials using an adaptive continual reassessment method
title_full A new pragmatic design for dose escalation in phase 1 clinical trials using an adaptive continual reassessment method
title_fullStr A new pragmatic design for dose escalation in phase 1 clinical trials using an adaptive continual reassessment method
title_full_unstemmed A new pragmatic design for dose escalation in phase 1 clinical trials using an adaptive continual reassessment method
title_short A new pragmatic design for dose escalation in phase 1 clinical trials using an adaptive continual reassessment method
title_sort new pragmatic design for dose escalation in phase 1 clinical trials using an adaptive continual reassessment method
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595589/
https://www.ncbi.nlm.nih.gov/pubmed/31242873
http://dx.doi.org/10.1186/s12885-019-5801-3
work_keys_str_mv AT northbernard anewpragmaticdesignfordoseescalationinphase1clinicaltrialsusinganadaptivecontinualreassessmentmethod
AT kocherhemantmahendrakumar anewpragmaticdesignfordoseescalationinphase1clinicaltrialsusinganadaptivecontinualreassessmentmethod
AT sasienipeter anewpragmaticdesignfordoseescalationinphase1clinicaltrialsusinganadaptivecontinualreassessmentmethod
AT northbernard newpragmaticdesignfordoseescalationinphase1clinicaltrialsusinganadaptivecontinualreassessmentmethod
AT kocherhemantmahendrakumar newpragmaticdesignfordoseescalationinphase1clinicaltrialsusinganadaptivecontinualreassessmentmethod
AT sasienipeter newpragmaticdesignfordoseescalationinphase1clinicaltrialsusinganadaptivecontinualreassessmentmethod