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Assessment of Treatment Effects and Long-term Benefits in Immune Checkpoint Inhibitor Trials Using the Flexible Parametric Cure Model: A Systematic Review

IMPORTANCE: Compared with standard cytotoxic therapies, randomized immune checkpoint inhibitor (ICI) phase 3 trials reveal delayed benefits in terms of patient survival and/or long-term response. Such outcomes generally violate the assumption of proportional hazards, and the classical Cox proportion...

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Autores principales: Filleron, Thomas, Bachelier, Marine, Mazieres, Julien, Pérol, Maurice, Meyer, Nicolas, Martin, Elodie, Mathevet, Fanny, Dauxois, Jean-Yves, Porcher, Raphael, Delord, Jean-Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8693223/
https://www.ncbi.nlm.nih.gov/pubmed/34932105
http://dx.doi.org/10.1001/jamanetworkopen.2021.39573
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author Filleron, Thomas
Bachelier, Marine
Mazieres, Julien
Pérol, Maurice
Meyer, Nicolas
Martin, Elodie
Mathevet, Fanny
Dauxois, Jean-Yves
Porcher, Raphael
Delord, Jean-Pierre
author_facet Filleron, Thomas
Bachelier, Marine
Mazieres, Julien
Pérol, Maurice
Meyer, Nicolas
Martin, Elodie
Mathevet, Fanny
Dauxois, Jean-Yves
Porcher, Raphael
Delord, Jean-Pierre
author_sort Filleron, Thomas
collection PubMed
description IMPORTANCE: Compared with standard cytotoxic therapies, randomized immune checkpoint inhibitor (ICI) phase 3 trials reveal delayed benefits in terms of patient survival and/or long-term response. Such outcomes generally violate the assumption of proportional hazards, and the classical Cox proportional hazards regression model is therefore unsuitable for these types of analyses. OBJECTIVE: To evaluate the ability of the flexible parametric cure model (FPCM) to estimate treatment effects and long-term responder fractions (LRFs) independently of prespecified time points. EVIDENCE REVIEW: This systematic review used reconstructed individual patient data from ICI advanced or metastatic melanoma and lung cancer phase 3 trials extracted from the literature. Trials published between January 1, 2010, and October 1, 2019, with long-term follow-up periods (maximum follow-up, ≥36 months in first line and ≥30 months otherwise) were selected to identify LRFs. Individual patient data for progression-free survival were reconstructed from the published randomized ICI phase 3 trial results. The FPCM was applied to estimate treatment effects on the overall population and on the following components of the population: LRF and progression-free survival in non–long-term responders. Results obtained were compared with treatment effects estimated using the Cox proportional hazards regression model. FINDINGS: In this systematic review, among the 23 comparisons studied using the FPCM, a statistically significant association between the time-to-event component and experimental treatment was observed in the main analyses and confirmed in the sensitivity analyses of 18 comparisons. Results were discordant for 4 comparisons that were not significant by the Cox proportional hazards regression model. The LRFs varied from 1.5% to 12.7% for the control arms and from 4.6% to 38.8% for the experimental arms. Differences in LRFs varied from 2% to 29% and were significantly increased in the experimental compared with the control arms, except for 4 comparisons. CONCLUSIONS AND RELEVANCE: This systematic review of reconstructed individual patient data found that the FPCM was a complementary approach that provided a comprehensive and pertinent evaluation of benefit and risk by assessing whether ICI treatment was associated with an increased probability of patients being long-term responders or with an improved progression-free survival in patients who were not long-term responders.
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spelling pubmed-86932232022-01-10 Assessment of Treatment Effects and Long-term Benefits in Immune Checkpoint Inhibitor Trials Using the Flexible Parametric Cure Model: A Systematic Review Filleron, Thomas Bachelier, Marine Mazieres, Julien Pérol, Maurice Meyer, Nicolas Martin, Elodie Mathevet, Fanny Dauxois, Jean-Yves Porcher, Raphael Delord, Jean-Pierre JAMA Netw Open Original Investigation IMPORTANCE: Compared with standard cytotoxic therapies, randomized immune checkpoint inhibitor (ICI) phase 3 trials reveal delayed benefits in terms of patient survival and/or long-term response. Such outcomes generally violate the assumption of proportional hazards, and the classical Cox proportional hazards regression model is therefore unsuitable for these types of analyses. OBJECTIVE: To evaluate the ability of the flexible parametric cure model (FPCM) to estimate treatment effects and long-term responder fractions (LRFs) independently of prespecified time points. EVIDENCE REVIEW: This systematic review used reconstructed individual patient data from ICI advanced or metastatic melanoma and lung cancer phase 3 trials extracted from the literature. Trials published between January 1, 2010, and October 1, 2019, with long-term follow-up periods (maximum follow-up, ≥36 months in first line and ≥30 months otherwise) were selected to identify LRFs. Individual patient data for progression-free survival were reconstructed from the published randomized ICI phase 3 trial results. The FPCM was applied to estimate treatment effects on the overall population and on the following components of the population: LRF and progression-free survival in non–long-term responders. Results obtained were compared with treatment effects estimated using the Cox proportional hazards regression model. FINDINGS: In this systematic review, among the 23 comparisons studied using the FPCM, a statistically significant association between the time-to-event component and experimental treatment was observed in the main analyses and confirmed in the sensitivity analyses of 18 comparisons. Results were discordant for 4 comparisons that were not significant by the Cox proportional hazards regression model. The LRFs varied from 1.5% to 12.7% for the control arms and from 4.6% to 38.8% for the experimental arms. Differences in LRFs varied from 2% to 29% and were significantly increased in the experimental compared with the control arms, except for 4 comparisons. CONCLUSIONS AND RELEVANCE: This systematic review of reconstructed individual patient data found that the FPCM was a complementary approach that provided a comprehensive and pertinent evaluation of benefit and risk by assessing whether ICI treatment was associated with an increased probability of patients being long-term responders or with an improved progression-free survival in patients who were not long-term responders. American Medical Association 2021-12-21 /pmc/articles/PMC8693223/ /pubmed/34932105 http://dx.doi.org/10.1001/jamanetworkopen.2021.39573 Text en Copyright 2021 Filleron T et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Filleron, Thomas
Bachelier, Marine
Mazieres, Julien
Pérol, Maurice
Meyer, Nicolas
Martin, Elodie
Mathevet, Fanny
Dauxois, Jean-Yves
Porcher, Raphael
Delord, Jean-Pierre
Assessment of Treatment Effects and Long-term Benefits in Immune Checkpoint Inhibitor Trials Using the Flexible Parametric Cure Model: A Systematic Review
title Assessment of Treatment Effects and Long-term Benefits in Immune Checkpoint Inhibitor Trials Using the Flexible Parametric Cure Model: A Systematic Review
title_full Assessment of Treatment Effects and Long-term Benefits in Immune Checkpoint Inhibitor Trials Using the Flexible Parametric Cure Model: A Systematic Review
title_fullStr Assessment of Treatment Effects and Long-term Benefits in Immune Checkpoint Inhibitor Trials Using the Flexible Parametric Cure Model: A Systematic Review
title_full_unstemmed Assessment of Treatment Effects and Long-term Benefits in Immune Checkpoint Inhibitor Trials Using the Flexible Parametric Cure Model: A Systematic Review
title_short Assessment of Treatment Effects and Long-term Benefits in Immune Checkpoint Inhibitor Trials Using the Flexible Parametric Cure Model: A Systematic Review
title_sort assessment of treatment effects and long-term benefits in immune checkpoint inhibitor trials using the flexible parametric cure model: a systematic review
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8693223/
https://www.ncbi.nlm.nih.gov/pubmed/34932105
http://dx.doi.org/10.1001/jamanetworkopen.2021.39573
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