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Evaluation of RECIST in chemotherapy-treated lung cancer: the Pharmacogenoscan Study
BACKGROUND: Response Evaluation Criteria in Solid Tumors (RECIST) are widely used to assess the effect of chemotherapy in patients with cancer. We hypothesised that the change in unidimensional tumour size handled as a continuous variable was more reliable than RECIST in predicting overall survival...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4364468/ https://www.ncbi.nlm.nih.gov/pubmed/25527907 http://dx.doi.org/10.1186/1471-2407-14-989 |
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author | Toffart, Anne-Claire Moro-Sibilot, Denis Couraud, Sébastien Merle, Patrick Perol, Maurice Girard, Nicolas Souquet, Pierre-Jean Mastroianni, Bénédicte Ferretti, Gilbert R Romand, Philippe Chatellain, Patrick Vesin, Aurélien Brambilla, Elisabeth Brambilla, Christian Timsit, Jean-François |
author_facet | Toffart, Anne-Claire Moro-Sibilot, Denis Couraud, Sébastien Merle, Patrick Perol, Maurice Girard, Nicolas Souquet, Pierre-Jean Mastroianni, Bénédicte Ferretti, Gilbert R Romand, Philippe Chatellain, Patrick Vesin, Aurélien Brambilla, Elisabeth Brambilla, Christian Timsit, Jean-François |
author_sort | Toffart, Anne-Claire |
collection | PubMed |
description | BACKGROUND: Response Evaluation Criteria in Solid Tumors (RECIST) are widely used to assess the effect of chemotherapy in patients with cancer. We hypothesised that the change in unidimensional tumour size handled as a continuous variable was more reliable than RECIST in predicting overall survival (OS). METHODS: The prospective Pharmacogenoscan study enrolled consecutive patients with non-small-cell lung cancer (NSCLC) at any stage seen between 2005 and 2010 at six hospitals in France, given chemotherapy. After exclusion of patients without RECIST or continuous-scale tumour size data and of those with early death, 464 patients were left for the survival analyses. Cox models were built to assess relationships between RECIST 1.1 categories or change in continuous-scale tumour size and OS. The best model was defined as the model minimising the Akaike Information Criterion (AIC). RESULTS: OS was 14.2 months (IQR, 7.3-28.9 months). According to RECIST 1.1, 146 (31%) patients had a partial or complete response, 245 (53%) stable disease, and73 (16%) disease progression. RECIST 1.1 predicted better OS than continuous-scale tumour in early (<6 months) predicted survival analyses (p = 0.03) but the accuracy of the two response evaluation methods was similar in late (≥6 months) predicted survival analyses (p = 0.15). CONCLUSION: In this large observational study, change in continuous-scale tumour size did not perform better than RECIST 1.1 in predicting survival of patients given chemotherapy to treat NSCLC. TRIAL REGISTRATION: NCT00222404 |
format | Online Article Text |
id | pubmed-4364468 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43644682015-03-19 Evaluation of RECIST in chemotherapy-treated lung cancer: the Pharmacogenoscan Study Toffart, Anne-Claire Moro-Sibilot, Denis Couraud, Sébastien Merle, Patrick Perol, Maurice Girard, Nicolas Souquet, Pierre-Jean Mastroianni, Bénédicte Ferretti, Gilbert R Romand, Philippe Chatellain, Patrick Vesin, Aurélien Brambilla, Elisabeth Brambilla, Christian Timsit, Jean-François BMC Cancer Research Article BACKGROUND: Response Evaluation Criteria in Solid Tumors (RECIST) are widely used to assess the effect of chemotherapy in patients with cancer. We hypothesised that the change in unidimensional tumour size handled as a continuous variable was more reliable than RECIST in predicting overall survival (OS). METHODS: The prospective Pharmacogenoscan study enrolled consecutive patients with non-small-cell lung cancer (NSCLC) at any stage seen between 2005 and 2010 at six hospitals in France, given chemotherapy. After exclusion of patients without RECIST or continuous-scale tumour size data and of those with early death, 464 patients were left for the survival analyses. Cox models were built to assess relationships between RECIST 1.1 categories or change in continuous-scale tumour size and OS. The best model was defined as the model minimising the Akaike Information Criterion (AIC). RESULTS: OS was 14.2 months (IQR, 7.3-28.9 months). According to RECIST 1.1, 146 (31%) patients had a partial or complete response, 245 (53%) stable disease, and73 (16%) disease progression. RECIST 1.1 predicted better OS than continuous-scale tumour in early (<6 months) predicted survival analyses (p = 0.03) but the accuracy of the two response evaluation methods was similar in late (≥6 months) predicted survival analyses (p = 0.15). CONCLUSION: In this large observational study, change in continuous-scale tumour size did not perform better than RECIST 1.1 in predicting survival of patients given chemotherapy to treat NSCLC. TRIAL REGISTRATION: NCT00222404 BioMed Central 2014-12-20 /pmc/articles/PMC4364468/ /pubmed/25527907 http://dx.doi.org/10.1186/1471-2407-14-989 Text en © Toffart et al.; licensee BioMed Central. 2014 This article is published under license to BioMed Central Ltd. 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 work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Toffart, Anne-Claire Moro-Sibilot, Denis Couraud, Sébastien Merle, Patrick Perol, Maurice Girard, Nicolas Souquet, Pierre-Jean Mastroianni, Bénédicte Ferretti, Gilbert R Romand, Philippe Chatellain, Patrick Vesin, Aurélien Brambilla, Elisabeth Brambilla, Christian Timsit, Jean-François Evaluation of RECIST in chemotherapy-treated lung cancer: the Pharmacogenoscan Study |
title | Evaluation of RECIST in chemotherapy-treated lung cancer: the Pharmacogenoscan Study |
title_full | Evaluation of RECIST in chemotherapy-treated lung cancer: the Pharmacogenoscan Study |
title_fullStr | Evaluation of RECIST in chemotherapy-treated lung cancer: the Pharmacogenoscan Study |
title_full_unstemmed | Evaluation of RECIST in chemotherapy-treated lung cancer: the Pharmacogenoscan Study |
title_short | Evaluation of RECIST in chemotherapy-treated lung cancer: the Pharmacogenoscan Study |
title_sort | evaluation of recist in chemotherapy-treated lung cancer: the pharmacogenoscan study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4364468/ https://www.ncbi.nlm.nih.gov/pubmed/25527907 http://dx.doi.org/10.1186/1471-2407-14-989 |
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