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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
ESMO Open
2017
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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. |
format | Online Article Text |
id | pubmed-5519785 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | ESMO Open |
record_format | MEDLINE/PubMed |
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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