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Fractional design: An alternative paradigm for late-onset toxicities in oncology dose-finding studies
Late-onset (LO) toxicities often arise in the new era of phase I oncology dose-finding trials with targeted agents or immunotherapies. The current LO toxicities modelling is often formulated in a weighted likelihood framework, where the time-to-event continual reassessment method (TITE-CRM) is commo...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7451759/ https://www.ncbi.nlm.nih.gov/pubmed/32875142 http://dx.doi.org/10.1016/j.conctc.2020.100650 |
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author | Yin, Guosheng Yang, Zhao |
author_facet | Yin, Guosheng Yang, Zhao |
author_sort | Yin, Guosheng |
collection | PubMed |
description | Late-onset (LO) toxicities often arise in the new era of phase I oncology dose-finding trials with targeted agents or immunotherapies. The current LO toxicities modelling is often formulated in a weighted likelihood framework, where the time-to-event continual reassessment method (TITE-CRM) is commonly used. The TITE-CRM uses the patient exposure time as a weight for the censored observation, while there is large uncertainty on which weight function to be used. As an alternative, the fractional scheme formulates an efficient and robust paradigm to address LO toxicity issues in dose finding. We review the fractional continual reassessment method (fCRM) and compare its operating characteristics with those of the TITE-CRM as well as other competitive designs via extensive simulation studies based on both the fixed and randomly generated scenarios. The fCRM is shown to possess desirable operating characteristics in identifying the maximum tolerated dose (MTD) and deliver competitive performances in comparison with other designs. It provides an alternative efficient and robust paradigm for interpreting and addressing LO toxicities in the new era of phase I dose-finding trials in precision oncology. A real trial example is used to illustrate the practical use of the fCRM design. |
format | Online Article Text |
id | pubmed-7451759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-74517592020-08-31 Fractional design: An alternative paradigm for late-onset toxicities in oncology dose-finding studies Yin, Guosheng Yang, Zhao Contemp Clin Trials Commun Article Late-onset (LO) toxicities often arise in the new era of phase I oncology dose-finding trials with targeted agents or immunotherapies. The current LO toxicities modelling is often formulated in a weighted likelihood framework, where the time-to-event continual reassessment method (TITE-CRM) is commonly used. The TITE-CRM uses the patient exposure time as a weight for the censored observation, while there is large uncertainty on which weight function to be used. As an alternative, the fractional scheme formulates an efficient and robust paradigm to address LO toxicity issues in dose finding. We review the fractional continual reassessment method (fCRM) and compare its operating characteristics with those of the TITE-CRM as well as other competitive designs via extensive simulation studies based on both the fixed and randomly generated scenarios. The fCRM is shown to possess desirable operating characteristics in identifying the maximum tolerated dose (MTD) and deliver competitive performances in comparison with other designs. It provides an alternative efficient and robust paradigm for interpreting and addressing LO toxicities in the new era of phase I dose-finding trials in precision oncology. A real trial example is used to illustrate the practical use of the fCRM design. Elsevier 2020-08-18 /pmc/articles/PMC7451759/ /pubmed/32875142 http://dx.doi.org/10.1016/j.conctc.2020.100650 Text en © 2020 Published by Elsevier Inc. 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 Yin, Guosheng Yang, Zhao Fractional design: An alternative paradigm for late-onset toxicities in oncology dose-finding studies |
title | Fractional design: An alternative paradigm for late-onset toxicities in oncology dose-finding studies |
title_full | Fractional design: An alternative paradigm for late-onset toxicities in oncology dose-finding studies |
title_fullStr | Fractional design: An alternative paradigm for late-onset toxicities in oncology dose-finding studies |
title_full_unstemmed | Fractional design: An alternative paradigm for late-onset toxicities in oncology dose-finding studies |
title_short | Fractional design: An alternative paradigm for late-onset toxicities in oncology dose-finding studies |
title_sort | fractional design: an alternative paradigm for late-onset toxicities in oncology dose-finding studies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7451759/ https://www.ncbi.nlm.nih.gov/pubmed/32875142 http://dx.doi.org/10.1016/j.conctc.2020.100650 |
work_keys_str_mv | AT yinguosheng fractionaldesignanalternativeparadigmforlateonsettoxicitiesinoncologydosefindingstudies AT yangzhao fractionaldesignanalternativeparadigmforlateonsettoxicitiesinoncologydosefindingstudies |