Literature DB >> 25837799

Can EGFR mutations in plasma or serum be predictive markers of non-small-cell lung cancer? A meta-analysis.

Ying Wu1, Hongbing Liu1, Xuefei Shi1, Yong Song2.   

Abstract

BACKGROUND: The detection of epidermal growth factor receptor (EGFR) mutations in plasma or serum has previously been reported to be feasible for non-small-cell lung cancer (NSCLC). However, not all results indicate a consistency between EGFR mutation status in the plasma or serum and that in tissues.
METHODS: A meta-analysis was performed to evaluate the overall accuracy of EGFR mutation detection in plasma or serum. Publications up to December 2014 were searched for using the PubMed, Embase and Web of Science databases. Sensitivity, specificity and other accuracy measures were pooled using the bivariate mixed-effects regression model.
RESULTS: Twenty-six studies were included in this meta-analysis. The pooled specificity, sensitivity, positive and negative likelihood ratios, and diagnostic odds ratios were 0.97 (95% confidence interval (CI): 0.93-0.99), 0.65 (95% CI: 0.54-0.74), 24.9 (95% CI: 9.2-67.2), 0.36 (95% CI: 0.27-0.48), and 69 (95% CI: 24-202), respectively. The summary receiver operating characteristic curve was 0.89 (95% CI: 0.86-0.91).
CONCLUSIONS: The detection of EGFR mutations in plasma or serum is a noninvasive method to confirm EGFR mutation status in patients with NSCLC. However, more work is necessary to identify which method can raise the sensitivity of EGFR mutation detection.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Epidermal growth factor receptor (EGFR); Meta-analysis; Mutations; Non-small-cell lung cancer; Plasma; Serum

Mesh:

Substances:

Year:  2015        PMID: 25837799     DOI: 10.1016/j.lungcan.2015.03.008

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  11 in total

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Authors:  Qiaoyou Weng; Junguo Hui; Hailin Wang; Chuanqiang Lan; Jiansheng Huang; Chun Zhao; Liyun Zheng; Shiji Fang; Minjiang Chen; Chenying Lu; Yuyan Bao; Peipei Pang; Min Xu; Weibo Mao; Zufei Wang; Jianfei Tu; Yuan Huang; Jiansong Ji
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Authors:  Shuhang Wang; Yongping Song; Feifei Yan; Delong Liu
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4.  EGFR Mutation Analysis of Circulating Tumor DNA Using an Improved PNA-LNA PCR Clamp Method.

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5.  Development and validation of a predictive model for estimating EGFR mutation probabilities in patients with non-squamous non-small cell lung cancer in New Zealand.

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Journal:  Lung India       Date:  2020 Jan-Feb

10.  Can peripheral blood be used as surrogate in detecting epidermal growth factor receptor mutation status in advanced non-small cell lung cancer patients? A meta-analysis.

Authors:  Xiaowei Mao; Yujun Zhang; Fangfang Xie; Xiaoxuan Zheng; Jiayuan Sun
Journal:  Oncotarget       Date:  2017-08-16
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