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Is it feasible to detect epidermal growth factor receptor mutations in circulating tumor cells in nonsmall cell lung cancer?: A meta-analysis

BACKGROUND: The value of circulating tumor cells (CTCs) in detecting epidermal growth factor receptor (EGFR) mutations in patients with nonsmall cell lung cancer (NSCLC) is controversial. We performed a meta-analysis to investigate the diagnostic significance of CTCs with tumor tissues as the standa...

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Autores principales: Liu, Yafang, Xing, Ze, Zhan, Ping, Liu, Hongbing, Ye, Wei, Lv, Tangfeng, Song, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134849/
https://www.ncbi.nlm.nih.gov/pubmed/27893656
http://dx.doi.org/10.1097/MD.0000000000005115
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author Liu, Yafang
Xing, Ze
Zhan, Ping
Liu, Hongbing
Ye, Wei
Lv, Tangfeng
Song, Yong
author_facet Liu, Yafang
Xing, Ze
Zhan, Ping
Liu, Hongbing
Ye, Wei
Lv, Tangfeng
Song, Yong
author_sort Liu, Yafang
collection PubMed
description BACKGROUND: The value of circulating tumor cells (CTCs) in detecting epidermal growth factor receptor (EGFR) mutations in patients with nonsmall cell lung cancer (NSCLC) is controversial. We performed a meta-analysis to investigate the diagnostic significance of CTCs with tumor tissues as the standard control. METHODS: A systematic literature search, including papers published until November 26, 2015, was performed using PubMed, Medline, Embase, Web of Science, and the China National Knowledge Infrastructure, and the references of retrieved articles were screened. The pooled sensitivity, specificity, and diagnostic odds ratio (DOR) were calculated according to the data selection from the included studies. The evaluation indexes of the diagnostic performance were the summary receiver operating characteristic curve (SROC) and area under the SROC (AUSROC). RESULTS: Eight eligible articles with a total of 170 participants were identified in our meta-analysis. The pooled sensitivity and specificity were 0.91 [95% CI: 0.55–0.99] and 0.99 [95% CI: 0.59–1.00]. The positive likelihood ratio and negative likelihood ratio were 68 [95% CI: 1.4–3364] and 0.09 [95% CI: 0.01–0.64], respectively. The DOR was 788 [95% CI: 9–71884]. The high diagnostic performance of CTCs in detecting EGFR mutations was indicated by the AUSROC of 0.99 [95% CI: 0.98–1.00]. CONCLUSIONS: CTCs are a feasible and highly specific biomarker for detecting the EGFR mutation status in NSCLC patients.
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spelling pubmed-51348492016-12-08 Is it feasible to detect epidermal growth factor receptor mutations in circulating tumor cells in nonsmall cell lung cancer?: A meta-analysis Liu, Yafang Xing, Ze Zhan, Ping Liu, Hongbing Ye, Wei Lv, Tangfeng Song, Yong Medicine (Baltimore) 5700 BACKGROUND: The value of circulating tumor cells (CTCs) in detecting epidermal growth factor receptor (EGFR) mutations in patients with nonsmall cell lung cancer (NSCLC) is controversial. We performed a meta-analysis to investigate the diagnostic significance of CTCs with tumor tissues as the standard control. METHODS: A systematic literature search, including papers published until November 26, 2015, was performed using PubMed, Medline, Embase, Web of Science, and the China National Knowledge Infrastructure, and the references of retrieved articles were screened. The pooled sensitivity, specificity, and diagnostic odds ratio (DOR) were calculated according to the data selection from the included studies. The evaluation indexes of the diagnostic performance were the summary receiver operating characteristic curve (SROC) and area under the SROC (AUSROC). RESULTS: Eight eligible articles with a total of 170 participants were identified in our meta-analysis. The pooled sensitivity and specificity were 0.91 [95% CI: 0.55–0.99] and 0.99 [95% CI: 0.59–1.00]. The positive likelihood ratio and negative likelihood ratio were 68 [95% CI: 1.4–3364] and 0.09 [95% CI: 0.01–0.64], respectively. The DOR was 788 [95% CI: 9–71884]. The high diagnostic performance of CTCs in detecting EGFR mutations was indicated by the AUSROC of 0.99 [95% CI: 0.98–1.00]. CONCLUSIONS: CTCs are a feasible and highly specific biomarker for detecting the EGFR mutation status in NSCLC patients. Wolters Kluwer Health 2016-11-28 /pmc/articles/PMC5134849/ /pubmed/27893656 http://dx.doi.org/10.1097/MD.0000000000005115 Text en Copyright © 2016 the Author(s). Published by Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle 5700
Liu, Yafang
Xing, Ze
Zhan, Ping
Liu, Hongbing
Ye, Wei
Lv, Tangfeng
Song, Yong
Is it feasible to detect epidermal growth factor receptor mutations in circulating tumor cells in nonsmall cell lung cancer?: A meta-analysis
title Is it feasible to detect epidermal growth factor receptor mutations in circulating tumor cells in nonsmall cell lung cancer?: A meta-analysis
title_full Is it feasible to detect epidermal growth factor receptor mutations in circulating tumor cells in nonsmall cell lung cancer?: A meta-analysis
title_fullStr Is it feasible to detect epidermal growth factor receptor mutations in circulating tumor cells in nonsmall cell lung cancer?: A meta-analysis
title_full_unstemmed Is it feasible to detect epidermal growth factor receptor mutations in circulating tumor cells in nonsmall cell lung cancer?: A meta-analysis
title_short Is it feasible to detect epidermal growth factor receptor mutations in circulating tumor cells in nonsmall cell lung cancer?: A meta-analysis
title_sort is it feasible to detect epidermal growth factor receptor mutations in circulating tumor cells in nonsmall cell lung cancer?: a meta-analysis
topic 5700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134849/
https://www.ncbi.nlm.nih.gov/pubmed/27893656
http://dx.doi.org/10.1097/MD.0000000000005115
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