Cargando…

Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology

In early phase clinical trials of cytotoxic drugs in oncology, the efficacy is typically evaluated based on the tumor shrinkage. However, this criterion is not always appropriate for more recent cytostatic agents, and alternative endpoints have been proposed. The growth modulation index (GMI), defin...

Descripción completa

Detalles Bibliográficos
Autores principales: Texier, Matthieu, Rotolo, Federico, Ducreux, Michel, Bouché, Olivier, Pignon, Jean-Pierre, Michiels, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5820554/
https://www.ncbi.nlm.nih.gov/pubmed/29568321
http://dx.doi.org/10.1155/2018/1672176
_version_ 1783301393990287360
author Texier, Matthieu
Rotolo, Federico
Ducreux, Michel
Bouché, Olivier
Pignon, Jean-Pierre
Michiels, Stefan
author_facet Texier, Matthieu
Rotolo, Federico
Ducreux, Michel
Bouché, Olivier
Pignon, Jean-Pierre
Michiels, Stefan
author_sort Texier, Matthieu
collection PubMed
description In early phase clinical trials of cytotoxic drugs in oncology, the efficacy is typically evaluated based on the tumor shrinkage. However, this criterion is not always appropriate for more recent cytostatic agents, and alternative endpoints have been proposed. The growth modulation index (GMI), defined as the ratio between the times to progression in two successive treatment lines, has been proposed for a single-arm phase II trials. The treatment effect is evaluated by estimating the rate of patients having a GMI superior to a given threshold. To estimate this rate, we investigated a parametric method based on the distribution of the times to progression and a nonparametric one based on a midrank estimator. Through simulations, we studied their operating characteristics and the impact of different design parameters (censoring, dependence, and distribution) on them. In these simulations, the nonparametric estimator slightly underestimated the rate and had slightly overconservative confidence intervals in some cases. Conversely, the parametric estimator overestimated the rate and had anticonservative confidence intervals in some cases. The nonparametric method appeared to be more robust to censoring than the parametric one. In conclusion, we recommend the nonparametric method, but the parametric method can be used as a supplementary tool.
format Online
Article
Text
id pubmed-5820554
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-58205542018-03-22 Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology Texier, Matthieu Rotolo, Federico Ducreux, Michel Bouché, Olivier Pignon, Jean-Pierre Michiels, Stefan Comput Math Methods Med Research Article In early phase clinical trials of cytotoxic drugs in oncology, the efficacy is typically evaluated based on the tumor shrinkage. However, this criterion is not always appropriate for more recent cytostatic agents, and alternative endpoints have been proposed. The growth modulation index (GMI), defined as the ratio between the times to progression in two successive treatment lines, has been proposed for a single-arm phase II trials. The treatment effect is evaluated by estimating the rate of patients having a GMI superior to a given threshold. To estimate this rate, we investigated a parametric method based on the distribution of the times to progression and a nonparametric one based on a midrank estimator. Through simulations, we studied their operating characteristics and the impact of different design parameters (censoring, dependence, and distribution) on them. In these simulations, the nonparametric estimator slightly underestimated the rate and had slightly overconservative confidence intervals in some cases. Conversely, the parametric estimator overestimated the rate and had anticonservative confidence intervals in some cases. The nonparametric method appeared to be more robust to censoring than the parametric one. In conclusion, we recommend the nonparametric method, but the parametric method can be used as a supplementary tool. Hindawi 2018-01-11 /pmc/articles/PMC5820554/ /pubmed/29568321 http://dx.doi.org/10.1155/2018/1672176 Text en Copyright © 2018 Matthieu Texier et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Texier, Matthieu
Rotolo, Federico
Ducreux, Michel
Bouché, Olivier
Pignon, Jean-Pierre
Michiels, Stefan
Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology
title Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology
title_full Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology
title_fullStr Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology
title_full_unstemmed Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology
title_short Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology
title_sort evaluation of treatment effect with paired failure times in a single-arm phase ii trial in oncology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5820554/
https://www.ncbi.nlm.nih.gov/pubmed/29568321
http://dx.doi.org/10.1155/2018/1672176
work_keys_str_mv AT texiermatthieu evaluationoftreatmenteffectwithpairedfailuretimesinasinglearmphaseiitrialinoncology
AT rotolofederico evaluationoftreatmenteffectwithpairedfailuretimesinasinglearmphaseiitrialinoncology
AT ducreuxmichel evaluationoftreatmenteffectwithpairedfailuretimesinasinglearmphaseiitrialinoncology
AT boucheolivier evaluationoftreatmenteffectwithpairedfailuretimesinasinglearmphaseiitrialinoncology
AT pignonjeanpierre evaluationoftreatmenteffectwithpairedfailuretimesinasinglearmphaseiitrialinoncology
AT michielsstefan evaluationoftreatmenteffectwithpairedfailuretimesinasinglearmphaseiitrialinoncology