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Use of patient-reported outcomes (PRO) data to complement exposure–response analysis in early clinical cancer drug development

BACKGROUND: This proof-of-concept retrospective case study investigated whether patient-reported outcomes (PRO) instruments, designed to capture symptomatic adverse event data, could identity a known exposure–response (ER) relationship for safety characterized in an original FDA analysis of an appro...

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Autores principales: Xia, Huiming, Booth, Brian P., Wang, Yaning, Fan, Chunling, Bhatnagar, Vishal, Kluetz, Paul, Fourie Zirkelbach, Jeanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656371/
https://www.ncbi.nlm.nih.gov/pubmed/37975967
http://dx.doi.org/10.1186/s41687-023-00651-2
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author Xia, Huiming
Booth, Brian P.
Wang, Yaning
Fan, Chunling
Bhatnagar, Vishal
Kluetz, Paul
Fourie Zirkelbach, Jeanne
author_facet Xia, Huiming
Booth, Brian P.
Wang, Yaning
Fan, Chunling
Bhatnagar, Vishal
Kluetz, Paul
Fourie Zirkelbach, Jeanne
author_sort Xia, Huiming
collection PubMed
description BACKGROUND: This proof-of-concept retrospective case study investigated whether patient-reported outcomes (PRO) instruments, designed to capture symptomatic adverse event data, could identity a known exposure–response (ER) relationship for safety characterized in an original FDA analysis of an approved anti-cancer agent. PRO instruments have been designed to uniquely quantify the tolerability aspects of exposure-associated symptomatic adverse events. We explored whether standard ER analyses of clinician-reported safety data for symptomatic adverse events could be complemented by ER analysis using PRO data that capture and quantify the tolerability aspects of these same symptomatic adverse events. METHODS: Exposure-associated adverse event data for diarrhea were analyzed in parallel in 120 patients enrolled in a clinical trial using physician reported Common Terminology Criteria for Adverse Events (CTCAE) and patient-reported symptomatic adverse event data captured by the National Cancer Institute’s (NCI) PRO Common Terminology Criteria for Adverse Events (PRO-CTCAE) instrument. Comparative ER analyses of diarrhea were conducted using the same dataset. Results from the CTCAE and PRO-CTCAE ER analyses were assessed for consistency with the ER relationship for diarrhea established in the original NDA using a 750-patient dataset. The analysis was limited to the 120-patient subset with parallel CTCAE and PRO-CTCAE assessments. RESULTS: Within the same 120-patient dataset, ER analysis using dense, longitudinal PRO-CTCAE-derived data was sensitive to identify the known ER relationship for diarrhea, whereas the standard CTCAE based ER analysis was not. CONCLUSIONS: ER analysis using PRO assessed symptomatic adverse event data may be a sensitive tool to complement traditional ER analysis. Improved identification of relationships for safety, by including quantification of the tolerability aspect of symptomatic adverse events using PRO instruments, may be useful to improve the sensitivity of exposure response analysis to support early clinical trial dosage optimization strategies, where decision making occurs within limited small patient datasets.
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spelling pubmed-106563712023-11-17 Use of patient-reported outcomes (PRO) data to complement exposure–response analysis in early clinical cancer drug development Xia, Huiming Booth, Brian P. Wang, Yaning Fan, Chunling Bhatnagar, Vishal Kluetz, Paul Fourie Zirkelbach, Jeanne J Patient Rep Outcomes Research BACKGROUND: This proof-of-concept retrospective case study investigated whether patient-reported outcomes (PRO) instruments, designed to capture symptomatic adverse event data, could identity a known exposure–response (ER) relationship for safety characterized in an original FDA analysis of an approved anti-cancer agent. PRO instruments have been designed to uniquely quantify the tolerability aspects of exposure-associated symptomatic adverse events. We explored whether standard ER analyses of clinician-reported safety data for symptomatic adverse events could be complemented by ER analysis using PRO data that capture and quantify the tolerability aspects of these same symptomatic adverse events. METHODS: Exposure-associated adverse event data for diarrhea were analyzed in parallel in 120 patients enrolled in a clinical trial using physician reported Common Terminology Criteria for Adverse Events (CTCAE) and patient-reported symptomatic adverse event data captured by the National Cancer Institute’s (NCI) PRO Common Terminology Criteria for Adverse Events (PRO-CTCAE) instrument. Comparative ER analyses of diarrhea were conducted using the same dataset. Results from the CTCAE and PRO-CTCAE ER analyses were assessed for consistency with the ER relationship for diarrhea established in the original NDA using a 750-patient dataset. The analysis was limited to the 120-patient subset with parallel CTCAE and PRO-CTCAE assessments. RESULTS: Within the same 120-patient dataset, ER analysis using dense, longitudinal PRO-CTCAE-derived data was sensitive to identify the known ER relationship for diarrhea, whereas the standard CTCAE based ER analysis was not. CONCLUSIONS: ER analysis using PRO assessed symptomatic adverse event data may be a sensitive tool to complement traditional ER analysis. Improved identification of relationships for safety, by including quantification of the tolerability aspect of symptomatic adverse events using PRO instruments, may be useful to improve the sensitivity of exposure response analysis to support early clinical trial dosage optimization strategies, where decision making occurs within limited small patient datasets. Springer International Publishing 2023-11-17 /pmc/articles/PMC10656371/ /pubmed/37975967 http://dx.doi.org/10.1186/s41687-023-00651-2 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Xia, Huiming
Booth, Brian P.
Wang, Yaning
Fan, Chunling
Bhatnagar, Vishal
Kluetz, Paul
Fourie Zirkelbach, Jeanne
Use of patient-reported outcomes (PRO) data to complement exposure–response analysis in early clinical cancer drug development
title Use of patient-reported outcomes (PRO) data to complement exposure–response analysis in early clinical cancer drug development
title_full Use of patient-reported outcomes (PRO) data to complement exposure–response analysis in early clinical cancer drug development
title_fullStr Use of patient-reported outcomes (PRO) data to complement exposure–response analysis in early clinical cancer drug development
title_full_unstemmed Use of patient-reported outcomes (PRO) data to complement exposure–response analysis in early clinical cancer drug development
title_short Use of patient-reported outcomes (PRO) data to complement exposure–response analysis in early clinical cancer drug development
title_sort use of patient-reported outcomes (pro) data to complement exposure–response analysis in early clinical cancer drug development
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656371/
https://www.ncbi.nlm.nih.gov/pubmed/37975967
http://dx.doi.org/10.1186/s41687-023-00651-2
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