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Published in: Pathology & Oncology Research 2/2019

01-04-2019 | NSCLC | Original Article

A Comprehensive Meta-Analysis of Association between EGFR Mutation Status and Brain Metastases in NSCLC

Authors: Li Tan, Yinying Wu, Xiaowei Ma, Yanli Yan, Shuai Shao, Jiaxin Liu, Hailin Ma, Rui Liu, Linyan Chai, Juan Ren

Published in: Pathology & Oncology Research | Issue 2/2019

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Abstract

Non-small cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) mutation have different clinicopathological characteristics compared with EGFR wild type NSCLC. A growing number of studies focused on the relevance between EGFR mutation status and brain metastases (BM) in NSCLC, but it remains controversial. Therefore, this study performed a comprehensive meta-analysis to untangle this issue. Several electronic databases including Pubmed, Embase, Web of science and Cochrane database were thoroughly searched. The odds ratio (OR) with 95% confidence interval (95%CI) was pooled to evaluate the relevance. Meta-regression analysis and subgroup analysis were conducted according to the heterogeneity. A total of 26 studies were identified finally in this meta-analysis. The overall OR was 1.58 (95%CI: 1.36–1.84), which indicated that EGFR mutation had a positive association with BM of NSCLC. The subgroup analysis resulted from eleven studies with lung adenocarcinoma revealed a higher possibility of BM in NSCLC with EGFR mutation compared with EGFR wild (p < 0.05). There was no significant difference in the risk of BM between NSCLC EGFR exon 19 mutation and exon 21 point mutation (p = 0.23). This meta-analysis suggests that EGFR mutation can be a risk factor for BM in NSCLC.
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Metadata
Title
A Comprehensive Meta-Analysis of Association between EGFR Mutation Status and Brain Metastases in NSCLC
Authors
Li Tan
Yinying Wu
Xiaowei Ma
Yanli Yan
Shuai Shao
Jiaxin Liu
Hailin Ma
Rui Liu
Linyan Chai
Juan Ren
Publication date
01-04-2019
Publisher
Springer Netherlands
Published in
Pathology & Oncology Research / Issue 2/2019
Print ISSN: 1219-4956
Electronic ISSN: 1532-2807
DOI
https://doi.org/10.1007/s12253-019-00598-0

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