Cargando…
Flexible, rule-based dose escalation: The cohort-sequence design
Phase I oncology trials seek to acquire preliminary information on the safety of novel treatments. In current practice, most such trials employ rule-based designs that determine whether to escalate the dose using data from the current dose only. The most popular of these, the 3 + 3, is simple and fa...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029255/ https://www.ncbi.nlm.nih.gov/pubmed/32099932 http://dx.doi.org/10.1016/j.conctc.2020.100541 |
_version_ | 1783499129713852416 |
---|---|
author | Li, Shuang Xie, Xian-Jin Heitjan, Daniel F. |
author_facet | Li, Shuang Xie, Xian-Jin Heitjan, Daniel F. |
author_sort | Li, Shuang |
collection | PubMed |
description | Phase I oncology trials seek to acquire preliminary information on the safety of novel treatments. In current practice, most such trials employ rule-based designs that determine whether to escalate the dose using data from the current dose only. The most popular of these, the 3 + 3, is simple and familiar but inflexible and inefficient. We propose a rule-based design that addresses these deficiencies. Our method, which we denote the cohort-sequence design, is defined by a sequence of J increasing cohort sizes [Formula: see text] and corresponding critical values [Formula: see text]. The idea is to begin with a small cohort size [Formula: see text] and escalate through the planned doses, increasing the cohort size when we encounter toxicities. By selection of J and a safety threshold tuning parameter θ, one can create a design that will efficiently identify a target toxicity rate, potentially including a built-in dose-expansion cohort. We compared our designs to the 3 + 3 under a range of toxicity scenarios, observing that our approach generally rapidly identifies an MTD without enrolling patients unnecessarily at low doses where both toxicity and response rates are likely to be low. We have implemented the design in the R package cohortsequence. |
format | Online Article Text |
id | pubmed-7029255 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-70292552020-02-25 Flexible, rule-based dose escalation: The cohort-sequence design Li, Shuang Xie, Xian-Jin Heitjan, Daniel F. Contemp Clin Trials Commun Article Phase I oncology trials seek to acquire preliminary information on the safety of novel treatments. In current practice, most such trials employ rule-based designs that determine whether to escalate the dose using data from the current dose only. The most popular of these, the 3 + 3, is simple and familiar but inflexible and inefficient. We propose a rule-based design that addresses these deficiencies. Our method, which we denote the cohort-sequence design, is defined by a sequence of J increasing cohort sizes [Formula: see text] and corresponding critical values [Formula: see text]. The idea is to begin with a small cohort size [Formula: see text] and escalate through the planned doses, increasing the cohort size when we encounter toxicities. By selection of J and a safety threshold tuning parameter θ, one can create a design that will efficiently identify a target toxicity rate, potentially including a built-in dose-expansion cohort. We compared our designs to the 3 + 3 under a range of toxicity scenarios, observing that our approach generally rapidly identifies an MTD without enrolling patients unnecessarily at low doses where both toxicity and response rates are likely to be low. We have implemented the design in the R package cohortsequence. Elsevier 2020-02-09 /pmc/articles/PMC7029255/ /pubmed/32099932 http://dx.doi.org/10.1016/j.conctc.2020.100541 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Li, Shuang Xie, Xian-Jin Heitjan, Daniel F. Flexible, rule-based dose escalation: The cohort-sequence design |
title | Flexible, rule-based dose escalation: The cohort-sequence design |
title_full | Flexible, rule-based dose escalation: The cohort-sequence design |
title_fullStr | Flexible, rule-based dose escalation: The cohort-sequence design |
title_full_unstemmed | Flexible, rule-based dose escalation: The cohort-sequence design |
title_short | Flexible, rule-based dose escalation: The cohort-sequence design |
title_sort | flexible, rule-based dose escalation: the cohort-sequence design |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029255/ https://www.ncbi.nlm.nih.gov/pubmed/32099932 http://dx.doi.org/10.1016/j.conctc.2020.100541 |
work_keys_str_mv | AT lishuang flexiblerulebaseddoseescalationthecohortsequencedesign AT xiexianjin flexiblerulebaseddoseescalationthecohortsequencedesign AT heitjandanielf flexiblerulebaseddoseescalationthecohortsequencedesign |