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Therapeutically-induced stable disease in oncology early clinical trials

RATIONALE: The RECIST guideline defines four categories of response to treatment for cancer patients according to post-baseline changes in tumor burden, hence ignoring disease history. However, if left untreated, tumors grow exponentially, implying that pretreatment changes in tumor size are key to...

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Autores principales: Mercier, Francois, Meneses-Lorente, Georgina, Grimsey, Paul, Phipps, Alex, Michielin, Francesca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7259628/
https://www.ncbi.nlm.nih.gov/pubmed/32470048
http://dx.doi.org/10.1371/journal.pone.0233882
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author Mercier, Francois
Meneses-Lorente, Georgina
Grimsey, Paul
Phipps, Alex
Michielin, Francesca
author_facet Mercier, Francois
Meneses-Lorente, Georgina
Grimsey, Paul
Phipps, Alex
Michielin, Francesca
author_sort Mercier, Francois
collection PubMed
description RATIONALE: The RECIST guideline defines four categories of response to treatment for cancer patients according to post-baseline changes in tumor burden, hence ignoring disease history. However, if left untreated, tumors grow exponentially, implying that pretreatment changes in tumor size are key to thoroughly assess efficacy. We present a model-based approach to estimate the rates of changes in tumor mass, before and after treatment onset. METHODS: Sixty-eight patients were eligible for the analysis of tumor size data from a Phase 1 study evaluating the effect of emactuzumab. In addition to tumor size measured at baseline and every six weeks during treatment, a pre-baseline measurement was gathered for each patient. A longitudinal regression model was used to estimate the rates of tumor size change before and after treatment onset. RESULTS: The median pre-treatment tumor growth exponential rate was equal to 0.022 month(-1), corresponding to a tumor size doubling time of 4 months, and the on-treatment median tumor shrinkage exponential rate was equal to 0.001 month(-1). Among sixteen patients categorized as stable disease per RECIST, only five had similar slopes before and after treatment while nine actually improved. One patient in particular had a therapeutically induced stabilization of the disease. CONCLUSION: Our analysis emphasizes the importance of collecting pre-baseline scans to distinguish therapeutically induced stable disease from cases where the tumor growth is not perturbed by treatment.
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spelling pubmed-72596282020-06-08 Therapeutically-induced stable disease in oncology early clinical trials Mercier, Francois Meneses-Lorente, Georgina Grimsey, Paul Phipps, Alex Michielin, Francesca PLoS One Research Article RATIONALE: The RECIST guideline defines four categories of response to treatment for cancer patients according to post-baseline changes in tumor burden, hence ignoring disease history. However, if left untreated, tumors grow exponentially, implying that pretreatment changes in tumor size are key to thoroughly assess efficacy. We present a model-based approach to estimate the rates of changes in tumor mass, before and after treatment onset. METHODS: Sixty-eight patients were eligible for the analysis of tumor size data from a Phase 1 study evaluating the effect of emactuzumab. In addition to tumor size measured at baseline and every six weeks during treatment, a pre-baseline measurement was gathered for each patient. A longitudinal regression model was used to estimate the rates of tumor size change before and after treatment onset. RESULTS: The median pre-treatment tumor growth exponential rate was equal to 0.022 month(-1), corresponding to a tumor size doubling time of 4 months, and the on-treatment median tumor shrinkage exponential rate was equal to 0.001 month(-1). Among sixteen patients categorized as stable disease per RECIST, only five had similar slopes before and after treatment while nine actually improved. One patient in particular had a therapeutically induced stabilization of the disease. CONCLUSION: Our analysis emphasizes the importance of collecting pre-baseline scans to distinguish therapeutically induced stable disease from cases where the tumor growth is not perturbed by treatment. Public Library of Science 2020-05-29 /pmc/articles/PMC7259628/ /pubmed/32470048 http://dx.doi.org/10.1371/journal.pone.0233882 Text en © 2020 Mercier et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Mercier, Francois
Meneses-Lorente, Georgina
Grimsey, Paul
Phipps, Alex
Michielin, Francesca
Therapeutically-induced stable disease in oncology early clinical trials
title Therapeutically-induced stable disease in oncology early clinical trials
title_full Therapeutically-induced stable disease in oncology early clinical trials
title_fullStr Therapeutically-induced stable disease in oncology early clinical trials
title_full_unstemmed Therapeutically-induced stable disease in oncology early clinical trials
title_short Therapeutically-induced stable disease in oncology early clinical trials
title_sort therapeutically-induced stable disease in oncology early clinical trials
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7259628/
https://www.ncbi.nlm.nih.gov/pubmed/32470048
http://dx.doi.org/10.1371/journal.pone.0233882
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