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Published in: Radiation Oncology 1/2017

Open Access 01-12-2017 | Research

Validation of the graded prognostic assessment for lung cancer with brain metastases using molecular markers (lung-molGPA)

Authors: Carsten Nieder, Mandy Hintz, Oliver Oehlke, Angelika Bilger, Anca L. Grosu

Published in: Radiation Oncology | Issue 1/2017

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Abstract

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.
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Metadata
Title
Validation of the graded prognostic assessment for lung cancer with brain metastases using molecular markers (lung-molGPA)
Authors
Carsten Nieder
Mandy Hintz
Oliver Oehlke
Angelika Bilger
Anca L. Grosu
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Radiation Oncology / Issue 1/2017
Electronic ISSN: 1748-717X
DOI
https://doi.org/10.1186/s13014-017-0844-6

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