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Potential Molecular Signatures Predictive of Lung Cancer Brain Metastasis
Brain metastases are the most common tumors of the central nervous system (CNS). Incidence rates vary according to primary tumor origin, whereas the majority of the cerebral metastases arise from primary tumors in the lung (40–50%). Brain metastases from lung cancer can occur concurrently or within...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5958181/ https://www.ncbi.nlm.nih.gov/pubmed/29868480 http://dx.doi.org/10.3389/fonc.2018.00159 |
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author | Pedrosa, Rute M. S. M. Mustafa, Dana A. M. Aerts, Joachim G. J. V. Kros, Johan M. |
author_facet | Pedrosa, Rute M. S. M. Mustafa, Dana A. M. Aerts, Joachim G. J. V. Kros, Johan M. |
author_sort | Pedrosa, Rute M. S. M. |
collection | PubMed |
description | Brain metastases are the most common tumors of the central nervous system (CNS). Incidence rates vary according to primary tumor origin, whereas the majority of the cerebral metastases arise from primary tumors in the lung (40–50%). Brain metastases from lung cancer can occur concurrently or within months after lung cancer diagnosis. Survival rates after lung cancer brain metastasis diagnosis remain poor, to an utmost of 10 months. Therefore, prevention of brain metastasis is a critical concern in order to improve survival among cancer patients. Although several studies have been made in order to disclose the genetic and molecular mechanisms associated with CNS metastasis, the precise mechanisms that govern the CNS metastasis from lung cancer are yet to be clarified. The ability to forecast, which patients have a higher risk of brain metastasis occurrence, would aid cancer management approaches to diminish or prevent the development of brain metastasis and improve the clinical outcome for such patients. In this work, we revise genetic and molecular targets suitable for prediction of lung cancer CNS disease. |
format | Online Article Text |
id | pubmed-5958181 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59581812018-06-04 Potential Molecular Signatures Predictive of Lung Cancer Brain Metastasis Pedrosa, Rute M. S. M. Mustafa, Dana A. M. Aerts, Joachim G. J. V. Kros, Johan M. Front Oncol Oncology Brain metastases are the most common tumors of the central nervous system (CNS). Incidence rates vary according to primary tumor origin, whereas the majority of the cerebral metastases arise from primary tumors in the lung (40–50%). Brain metastases from lung cancer can occur concurrently or within months after lung cancer diagnosis. Survival rates after lung cancer brain metastasis diagnosis remain poor, to an utmost of 10 months. Therefore, prevention of brain metastasis is a critical concern in order to improve survival among cancer patients. Although several studies have been made in order to disclose the genetic and molecular mechanisms associated with CNS metastasis, the precise mechanisms that govern the CNS metastasis from lung cancer are yet to be clarified. The ability to forecast, which patients have a higher risk of brain metastasis occurrence, would aid cancer management approaches to diminish or prevent the development of brain metastasis and improve the clinical outcome for such patients. In this work, we revise genetic and molecular targets suitable for prediction of lung cancer CNS disease. Frontiers Media S.A. 2018-05-11 /pmc/articles/PMC5958181/ /pubmed/29868480 http://dx.doi.org/10.3389/fonc.2018.00159 Text en Copyright © 2018 Pedrosa, Mustafa, Aerts and Kros. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Pedrosa, Rute M. S. M. Mustafa, Dana A. M. Aerts, Joachim G. J. V. Kros, Johan M. Potential Molecular Signatures Predictive of Lung Cancer Brain Metastasis |
title | Potential Molecular Signatures Predictive of Lung Cancer Brain Metastasis |
title_full | Potential Molecular Signatures Predictive of Lung Cancer Brain Metastasis |
title_fullStr | Potential Molecular Signatures Predictive of Lung Cancer Brain Metastasis |
title_full_unstemmed | Potential Molecular Signatures Predictive of Lung Cancer Brain Metastasis |
title_short | Potential Molecular Signatures Predictive of Lung Cancer Brain Metastasis |
title_sort | potential molecular signatures predictive of lung cancer brain metastasis |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5958181/ https://www.ncbi.nlm.nih.gov/pubmed/29868480 http://dx.doi.org/10.3389/fonc.2018.00159 |
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