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Validation of the graded prognostic assessment for lung cancer with brain metastases using molecular markers (lung-molGPA)
BACKGROUND: Many patients with brain metastases from non-small cell lung cancer have limited survival, while others survive for several years, depending on patterns of spread, EGFR and ALK alterations, among others. The purpose of this study was to validate a new prognostic model (Lung-molGPA) origi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5483956/ https://www.ncbi.nlm.nih.gov/pubmed/28651600 http://dx.doi.org/10.1186/s13014-017-0844-6 |
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author | Nieder, Carsten Hintz, Mandy Oehlke, Oliver Bilger, Angelika Grosu, Anca L. |
author_facet | Nieder, Carsten Hintz, Mandy Oehlke, Oliver Bilger, Angelika Grosu, Anca L. |
author_sort | Nieder, Carsten |
collection | PubMed |
description | BACKGROUND: Many patients with brain metastases from non-small cell lung cancer have limited survival, while others survive for several years, depending on patterns of spread, EGFR and ALK alterations, among others. The purpose of this study was to validate a new prognostic model (Lung-molGPA) originally derived from a North American database. PATIENTS AND METHODS: This retrospective study included 269 German and Norwegian patients treated with individualized approaches, always including brain radiotherapy. Information about age, extracranial spread, number of brain metastases, performance status, histology, EGFR and ALK alterations was collected. The Lung-molGPA score was calculated as described by Sperduto et al. RESULTS: Median survival was 5.4 months. The score predicted survival in patients with adenocarcinoma histology and those with other types. For example, median survival was 3.0, 6.2, 14.7 and 25.0 months in the 4 different prognostic strata for adenocarcinoma. The corresponding figures were 2.4, 5.5 and 12.5 months in the 3 different prognostic strata for non-adenocarcinoma. CONCLUSIONS: These results confirm the validity of the Lung-molGPA in an independent dataset from a different geographical region. However, median survival was shorter in 6 of 7 prognostic strata. Potential explanations include lead time bias and differences in treatment selection, both brain metastases-directed and systemically. |
format | Online Article Text |
id | pubmed-5483956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54839562017-06-26 Validation of the graded prognostic assessment for lung cancer with brain metastases using molecular markers (lung-molGPA) Nieder, Carsten Hintz, Mandy Oehlke, Oliver Bilger, Angelika Grosu, Anca L. Radiat Oncol Research BACKGROUND: Many patients with brain metastases from non-small cell lung cancer have limited survival, while others survive for several years, depending on patterns of spread, EGFR and ALK alterations, among others. The purpose of this study was to validate a new prognostic model (Lung-molGPA) originally derived from a North American database. PATIENTS AND METHODS: This retrospective study included 269 German and Norwegian patients treated with individualized approaches, always including brain radiotherapy. Information about age, extracranial spread, number of brain metastases, performance status, histology, EGFR and ALK alterations was collected. The Lung-molGPA score was calculated as described by Sperduto et al. RESULTS: Median survival was 5.4 months. The score predicted survival in patients with adenocarcinoma histology and those with other types. For example, median survival was 3.0, 6.2, 14.7 and 25.0 months in the 4 different prognostic strata for adenocarcinoma. The corresponding figures were 2.4, 5.5 and 12.5 months in the 3 different prognostic strata for non-adenocarcinoma. CONCLUSIONS: These results confirm the validity of the Lung-molGPA in an independent dataset from a different geographical region. However, median survival was shorter in 6 of 7 prognostic strata. Potential explanations include lead time bias and differences in treatment selection, both brain metastases-directed and systemically. BioMed Central 2017-06-26 /pmc/articles/PMC5483956/ /pubmed/28651600 http://dx.doi.org/10.1186/s13014-017-0844-6 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Nieder, Carsten Hintz, Mandy Oehlke, Oliver Bilger, Angelika Grosu, Anca L. Validation of the graded prognostic assessment for lung cancer with brain metastases using molecular markers (lung-molGPA) |
title | Validation of the graded prognostic assessment for lung cancer with brain metastases using molecular markers (lung-molGPA) |
title_full | Validation of the graded prognostic assessment for lung cancer with brain metastases using molecular markers (lung-molGPA) |
title_fullStr | Validation of the graded prognostic assessment for lung cancer with brain metastases using molecular markers (lung-molGPA) |
title_full_unstemmed | Validation of the graded prognostic assessment for lung cancer with brain metastases using molecular markers (lung-molGPA) |
title_short | Validation of the graded prognostic assessment for lung cancer with brain metastases using molecular markers (lung-molGPA) |
title_sort | validation of the graded prognostic assessment for lung cancer with brain metastases using molecular markers (lung-molgpa) |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5483956/ https://www.ncbi.nlm.nih.gov/pubmed/28651600 http://dx.doi.org/10.1186/s13014-017-0844-6 |
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