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EGFR and KRAS Mutations Predict the Incidence and Outcome of Brain Metastases in Non-Small Cell Lung Cancer

Background: Lung cancer is the leading cause of brain metastases (BM). The identification of driver oncogenes and matched targeted therapies has improved outcome in non-small cell lung cancer (NSCLC) patients; however, a better understanding of BM molecular biology is needed to further drive the pro...

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Autores principales: Tomasini, Pascale, Serdjebi, Cindy, Khobta, Nataliya, Metellus, Philippe, Ouafik, L’Houcine, Nanni, Isabelle, Greillier, Laurent, Loundou, Anderson, Fina, Frederic, Mascaux, Celine, Barlesi, Fabrice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5187932/
https://www.ncbi.nlm.nih.gov/pubmed/27999344
http://dx.doi.org/10.3390/ijms17122132
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author Tomasini, Pascale
Serdjebi, Cindy
Khobta, Nataliya
Metellus, Philippe
Ouafik, L’Houcine
Nanni, Isabelle
Greillier, Laurent
Loundou, Anderson
Fina, Frederic
Mascaux, Celine
Barlesi, Fabrice
author_facet Tomasini, Pascale
Serdjebi, Cindy
Khobta, Nataliya
Metellus, Philippe
Ouafik, L’Houcine
Nanni, Isabelle
Greillier, Laurent
Loundou, Anderson
Fina, Frederic
Mascaux, Celine
Barlesi, Fabrice
author_sort Tomasini, Pascale
collection PubMed
description Background: Lung cancer is the leading cause of brain metastases (BM). The identification of driver oncogenes and matched targeted therapies has improved outcome in non-small cell lung cancer (NSCLC) patients; however, a better understanding of BM molecular biology is needed to further drive the process in this field. Methods: In this observational study, stage IV NSCLC patients tested for EGFR and KRAS mutations were selected, and BM incidence, recurrence and patients’ outcome were assessed. Results: A total of 144 patients (142 Caucasian and two Asian) were selected, including 11.27% with EGFR-mutant and 33.10% with KRAS-mutant tumors, and 57.04% patients had developed BM. BM incidence was more frequent in patients with EGFR mutation according to multivariate analyses (MVA) (Odds ratio OR = 8.745 [1.743–43.881], p = 0.008). Among patients with treated BM, recurrence after local treatment was less frequent in patients with KRAS mutation (OR = 0.234 [0.078–0.699], p = 0.009). Among patients with untreated BM, overall survival (OS) was shorter for patients with KRAS mutation according to univariate analysis (OR = 7.130 [1.240–41.012], p = 0.028), but not MVA. Conclusions: EGFR and KRAS mutations have a predictive role on BM incidence, recurrence and outcome in Caucasian NSCLC patients. These results may impact the routine management of disease in these patients. Further studies are required to assess the influence of other biomarkers on NSCLC BM.
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spelling pubmed-51879322016-12-30 EGFR and KRAS Mutations Predict the Incidence and Outcome of Brain Metastases in Non-Small Cell Lung Cancer Tomasini, Pascale Serdjebi, Cindy Khobta, Nataliya Metellus, Philippe Ouafik, L’Houcine Nanni, Isabelle Greillier, Laurent Loundou, Anderson Fina, Frederic Mascaux, Celine Barlesi, Fabrice Int J Mol Sci Article Background: Lung cancer is the leading cause of brain metastases (BM). The identification of driver oncogenes and matched targeted therapies has improved outcome in non-small cell lung cancer (NSCLC) patients; however, a better understanding of BM molecular biology is needed to further drive the process in this field. Methods: In this observational study, stage IV NSCLC patients tested for EGFR and KRAS mutations were selected, and BM incidence, recurrence and patients’ outcome were assessed. Results: A total of 144 patients (142 Caucasian and two Asian) were selected, including 11.27% with EGFR-mutant and 33.10% with KRAS-mutant tumors, and 57.04% patients had developed BM. BM incidence was more frequent in patients with EGFR mutation according to multivariate analyses (MVA) (Odds ratio OR = 8.745 [1.743–43.881], p = 0.008). Among patients with treated BM, recurrence after local treatment was less frequent in patients with KRAS mutation (OR = 0.234 [0.078–0.699], p = 0.009). Among patients with untreated BM, overall survival (OS) was shorter for patients with KRAS mutation according to univariate analysis (OR = 7.130 [1.240–41.012], p = 0.028), but not MVA. Conclusions: EGFR and KRAS mutations have a predictive role on BM incidence, recurrence and outcome in Caucasian NSCLC patients. These results may impact the routine management of disease in these patients. Further studies are required to assess the influence of other biomarkers on NSCLC BM. MDPI 2016-12-18 /pmc/articles/PMC5187932/ /pubmed/27999344 http://dx.doi.org/10.3390/ijms17122132 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tomasini, Pascale
Serdjebi, Cindy
Khobta, Nataliya
Metellus, Philippe
Ouafik, L’Houcine
Nanni, Isabelle
Greillier, Laurent
Loundou, Anderson
Fina, Frederic
Mascaux, Celine
Barlesi, Fabrice
EGFR and KRAS Mutations Predict the Incidence and Outcome of Brain Metastases in Non-Small Cell Lung Cancer
title EGFR and KRAS Mutations Predict the Incidence and Outcome of Brain Metastases in Non-Small Cell Lung Cancer
title_full EGFR and KRAS Mutations Predict the Incidence and Outcome of Brain Metastases in Non-Small Cell Lung Cancer
title_fullStr EGFR and KRAS Mutations Predict the Incidence and Outcome of Brain Metastases in Non-Small Cell Lung Cancer
title_full_unstemmed EGFR and KRAS Mutations Predict the Incidence and Outcome of Brain Metastases in Non-Small Cell Lung Cancer
title_short EGFR and KRAS Mutations Predict the Incidence and Outcome of Brain Metastases in Non-Small Cell Lung Cancer
title_sort egfr and kras mutations predict the incidence and outcome of brain metastases in non-small cell lung cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5187932/
https://www.ncbi.nlm.nih.gov/pubmed/27999344
http://dx.doi.org/10.3390/ijms17122132
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