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Time since start of first-line therapy as a predictive clinical marker for nintedanib in patients with previously treated non-small cell lung cancer

INTRODUCTION: No predictive clinical or genetic markers have been identified or validated for antiangiogenic agents in lung cancer. We aimed to identify a predictive clinical marker of benefit for nintedanib, an angiokinase inhibitor, using data from two large second-line non-small cell lung cancer...

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Autores principales: Gaschler-Markefski, Birgit, Sikken, Patricia, Heymach, John V, Gottfried, Maya, Mellemgaard, Anders, Novello, Silvia, Gann, Claudia-Nanette, Barrueco, José, Reck, Martin, Hanna, Nasser H, Kaiser, Rolf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: ESMO Open 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5519785/
https://www.ncbi.nlm.nih.gov/pubmed/28761724
http://dx.doi.org/10.1136/esmoopen-2016-000102
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author Gaschler-Markefski, Birgit
Sikken, Patricia
Heymach, John V
Gottfried, Maya
Mellemgaard, Anders
Novello, Silvia
Gann, Claudia-Nanette
Barrueco, José
Reck, Martin
Hanna, Nasser H
Kaiser, Rolf
author_facet Gaschler-Markefski, Birgit
Sikken, Patricia
Heymach, John V
Gottfried, Maya
Mellemgaard, Anders
Novello, Silvia
Gann, Claudia-Nanette
Barrueco, José
Reck, Martin
Hanna, Nasser H
Kaiser, Rolf
author_sort Gaschler-Markefski, Birgit
collection PubMed
description INTRODUCTION: No predictive clinical or genetic markers have been identified or validated for antiangiogenic agents in lung cancer. We aimed to identify a predictive clinical marker of benefit for nintedanib, an angiokinase inhibitor, using data from two large second-line non-small cell lung cancer Phase III trials (LUME-Lung 1 ([LL1] and LUME-Lung 2). METHODS: Predictive marker identification was conducted in a multi-step process using data from both trials; a hypothesis was generated, confirmed and validated. Statistical analyses included a stepwise selection approach, a recursive partitioning method and the evaluation of HRs, including treatment-by-covariate interactions. The marker was finally validated using a prospectively defined hierarchical testing procedure and treatment-by-covariate interaction for overall survival (OS) based on LL1. RESULTS: Time since start of first-line therapy (TSFLT) was identified as the only predictive clinical marker. A cut-off of 9 months was chosen for further analysis, based on HRs and recursive partitioning. The prospectively defined final validation using OS data from LL1 established the strong relationship between TSFLT and treatment with nintedanib. Patients with adenocarcinoma with TSFLT <9 months showed a greater survival benefit (median OS 10.9 vs 7.9 months, HR 0.75 [95% CI 0.60–0.92]; p=0.0073) compared with patients in the TSFLT >9 months group (median OS 17.0 vs 15.1 months, HR 0.89 [95% CI 0.66–1.19]). CONCLUSIONS: Patients with shorter TSFLT derive a greater progression-free survival and OS benefit from nintedanib. This clinical marker could be used for patient selection and further investigation is warranted regarding pathways promoting aggressive tumour growth and antiangiogenic tyrosine kinase inhibitor benefit.
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spelling pubmed-55197852017-07-31 Time since start of first-line therapy as a predictive clinical marker for nintedanib in patients with previously treated non-small cell lung cancer Gaschler-Markefski, Birgit Sikken, Patricia Heymach, John V Gottfried, Maya Mellemgaard, Anders Novello, Silvia Gann, Claudia-Nanette Barrueco, José Reck, Martin Hanna, Nasser H Kaiser, Rolf ESMO Open Original Research INTRODUCTION: No predictive clinical or genetic markers have been identified or validated for antiangiogenic agents in lung cancer. We aimed to identify a predictive clinical marker of benefit for nintedanib, an angiokinase inhibitor, using data from two large second-line non-small cell lung cancer Phase III trials (LUME-Lung 1 ([LL1] and LUME-Lung 2). METHODS: Predictive marker identification was conducted in a multi-step process using data from both trials; a hypothesis was generated, confirmed and validated. Statistical analyses included a stepwise selection approach, a recursive partitioning method and the evaluation of HRs, including treatment-by-covariate interactions. The marker was finally validated using a prospectively defined hierarchical testing procedure and treatment-by-covariate interaction for overall survival (OS) based on LL1. RESULTS: Time since start of first-line therapy (TSFLT) was identified as the only predictive clinical marker. A cut-off of 9 months was chosen for further analysis, based on HRs and recursive partitioning. The prospectively defined final validation using OS data from LL1 established the strong relationship between TSFLT and treatment with nintedanib. Patients with adenocarcinoma with TSFLT <9 months showed a greater survival benefit (median OS 10.9 vs 7.9 months, HR 0.75 [95% CI 0.60–0.92]; p=0.0073) compared with patients in the TSFLT >9 months group (median OS 17.0 vs 15.1 months, HR 0.89 [95% CI 0.66–1.19]). CONCLUSIONS: Patients with shorter TSFLT derive a greater progression-free survival and OS benefit from nintedanib. This clinical marker could be used for patient selection and further investigation is warranted regarding pathways promoting aggressive tumour growth and antiangiogenic tyrosine kinase inhibitor benefit. ESMO Open 2017-04-11 /pmc/articles/PMC5519785/ /pubmed/28761724 http://dx.doi.org/10.1136/esmoopen-2016-000102 Text en © European Society for Medical Oncology (unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Original Research
Gaschler-Markefski, Birgit
Sikken, Patricia
Heymach, John V
Gottfried, Maya
Mellemgaard, Anders
Novello, Silvia
Gann, Claudia-Nanette
Barrueco, José
Reck, Martin
Hanna, Nasser H
Kaiser, Rolf
Time since start of first-line therapy as a predictive clinical marker for nintedanib in patients with previously treated non-small cell lung cancer
title Time since start of first-line therapy as a predictive clinical marker for nintedanib in patients with previously treated non-small cell lung cancer
title_full Time since start of first-line therapy as a predictive clinical marker for nintedanib in patients with previously treated non-small cell lung cancer
title_fullStr Time since start of first-line therapy as a predictive clinical marker for nintedanib in patients with previously treated non-small cell lung cancer
title_full_unstemmed Time since start of first-line therapy as a predictive clinical marker for nintedanib in patients with previously treated non-small cell lung cancer
title_short Time since start of first-line therapy as a predictive clinical marker for nintedanib in patients with previously treated non-small cell lung cancer
title_sort time since start of first-line therapy as a predictive clinical marker for nintedanib in patients with previously treated non-small cell lung cancer
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5519785/
https://www.ncbi.nlm.nih.gov/pubmed/28761724
http://dx.doi.org/10.1136/esmoopen-2016-000102
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