Cargando…
Comparison of different methods for detecting epidermal growth factor receptor mutations in peripheral blood and tumor tissue of non-small cell lung cancer as a predictor of response to gefitinib
BACKGROUND: Previous studies have reported that epidermal growth factor receptor (EGFR) mutation in tumor tissue and peripheral blood can predict the response to EGFR tyrosine kinase inhibitor (TKI) in non-small cell lung cancer (NSCLC). However, the heterogeneity of the sample sources makes it diff...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3525047/ https://www.ncbi.nlm.nih.gov/pubmed/23251095 http://dx.doi.org/10.2147/OTT.S37289 |
_version_ | 1782253386195795968 |
---|---|
author | Xu, Fei Wu, Jingxun Xue, Cong Zhao, Yuanyuan Jiang, Wei Lin, Liping Wu, Xuan Lu, Yachao Bai, Hua Xu, Jiasen Zhu, Guanshan Zhang, Li |
author_facet | Xu, Fei Wu, Jingxun Xue, Cong Zhao, Yuanyuan Jiang, Wei Lin, Liping Wu, Xuan Lu, Yachao Bai, Hua Xu, Jiasen Zhu, Guanshan Zhang, Li |
author_sort | Xu, Fei |
collection | PubMed |
description | BACKGROUND: Previous studies have reported that epidermal growth factor receptor (EGFR) mutation in tumor tissue and peripheral blood can predict the response to EGFR tyrosine kinase inhibitor (TKI) in non-small cell lung cancer (NSCLC). However, the heterogeneity of the sample sources makes it difficult to evaluate the detecting methodologies. The goal of this study is to compare different methods for analyzing EGFR mutation in blood and tumor tissue. MATERIALS AND METHODS: Fifty-one advanced NSCLC patients treated with gefitinib were included in the study. The EGFR mutation status of each patients’ blood was analyzed by denaturing high-performance liquid chromatography (DHPLC), mutant-enriched liquidchip (ME-Liquidchip), and Scorpion Amplification Refractory Mutation System (Scorpion-ARMS) kits. EGFR mutation information in paired tumor samples detected by Scorpion-ARMS served as a reference. Comparative analyses were performed on mutation status results obtained from different methods and on the association between the clinical outcome of TKI treatment and EGFR mutation status. RESULTS: The response rate (RR) in the whole group was 33.3%. EGFR mutation rates were identified as 15.7%, 27.5%, and 29.4% by DHPLC, ME-Liquidchip, and Scorpion-ARMS in blood, respectively. In 34 cases that had paired tumor samples, the mutation rate in tissue was 41.2%. The RRs of patients with mutation detected by different methods were 71.4% (tumor), 62.5% (blood, DHPLC), 50.0% (blood, ME-Liquidchip), and 66.7% (blood, Scorpion-ARMS). EGFR mutation detected by Scorpion-ARMS in blood and tumor tissues had better prediction of RR to EGFR-TKI (P = 0.002 and P = 0.001) than mutation detected with DHPLC and ME-Liquidchip. CONCLUSION: Tumor tissue sample is the best source for EGFR mutation analysis in NSCLC patients. Peripheral blood samples may be used as an alternative source only in special conditions. Scorpion-ARMS, DHPLC, or ME-Liquidchip methods are all optional for detecting tumor EGFR mutation from blood. |
format | Online Article Text |
id | pubmed-3525047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-35250472012-12-18 Comparison of different methods for detecting epidermal growth factor receptor mutations in peripheral blood and tumor tissue of non-small cell lung cancer as a predictor of response to gefitinib Xu, Fei Wu, Jingxun Xue, Cong Zhao, Yuanyuan Jiang, Wei Lin, Liping Wu, Xuan Lu, Yachao Bai, Hua Xu, Jiasen Zhu, Guanshan Zhang, Li Onco Targets Ther Original Research BACKGROUND: Previous studies have reported that epidermal growth factor receptor (EGFR) mutation in tumor tissue and peripheral blood can predict the response to EGFR tyrosine kinase inhibitor (TKI) in non-small cell lung cancer (NSCLC). However, the heterogeneity of the sample sources makes it difficult to evaluate the detecting methodologies. The goal of this study is to compare different methods for analyzing EGFR mutation in blood and tumor tissue. MATERIALS AND METHODS: Fifty-one advanced NSCLC patients treated with gefitinib were included in the study. The EGFR mutation status of each patients’ blood was analyzed by denaturing high-performance liquid chromatography (DHPLC), mutant-enriched liquidchip (ME-Liquidchip), and Scorpion Amplification Refractory Mutation System (Scorpion-ARMS) kits. EGFR mutation information in paired tumor samples detected by Scorpion-ARMS served as a reference. Comparative analyses were performed on mutation status results obtained from different methods and on the association between the clinical outcome of TKI treatment and EGFR mutation status. RESULTS: The response rate (RR) in the whole group was 33.3%. EGFR mutation rates were identified as 15.7%, 27.5%, and 29.4% by DHPLC, ME-Liquidchip, and Scorpion-ARMS in blood, respectively. In 34 cases that had paired tumor samples, the mutation rate in tissue was 41.2%. The RRs of patients with mutation detected by different methods were 71.4% (tumor), 62.5% (blood, DHPLC), 50.0% (blood, ME-Liquidchip), and 66.7% (blood, Scorpion-ARMS). EGFR mutation detected by Scorpion-ARMS in blood and tumor tissues had better prediction of RR to EGFR-TKI (P = 0.002 and P = 0.001) than mutation detected with DHPLC and ME-Liquidchip. CONCLUSION: Tumor tissue sample is the best source for EGFR mutation analysis in NSCLC patients. Peripheral blood samples may be used as an alternative source only in special conditions. Scorpion-ARMS, DHPLC, or ME-Liquidchip methods are all optional for detecting tumor EGFR mutation from blood. Dove Medical Press 2012-12-12 /pmc/articles/PMC3525047/ /pubmed/23251095 http://dx.doi.org/10.2147/OTT.S37289 Text en © 2012 Xu et al, publisher and licensee Dove Medical Press Ltd. This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited. |
spellingShingle | Original Research Xu, Fei Wu, Jingxun Xue, Cong Zhao, Yuanyuan Jiang, Wei Lin, Liping Wu, Xuan Lu, Yachao Bai, Hua Xu, Jiasen Zhu, Guanshan Zhang, Li Comparison of different methods for detecting epidermal growth factor receptor mutations in peripheral blood and tumor tissue of non-small cell lung cancer as a predictor of response to gefitinib |
title | Comparison of different methods for detecting epidermal growth factor receptor mutations in peripheral blood and tumor tissue of non-small cell lung cancer as a predictor of response to gefitinib |
title_full | Comparison of different methods for detecting epidermal growth factor receptor mutations in peripheral blood and tumor tissue of non-small cell lung cancer as a predictor of response to gefitinib |
title_fullStr | Comparison of different methods for detecting epidermal growth factor receptor mutations in peripheral blood and tumor tissue of non-small cell lung cancer as a predictor of response to gefitinib |
title_full_unstemmed | Comparison of different methods for detecting epidermal growth factor receptor mutations in peripheral blood and tumor tissue of non-small cell lung cancer as a predictor of response to gefitinib |
title_short | Comparison of different methods for detecting epidermal growth factor receptor mutations in peripheral blood and tumor tissue of non-small cell lung cancer as a predictor of response to gefitinib |
title_sort | comparison of different methods for detecting epidermal growth factor receptor mutations in peripheral blood and tumor tissue of non-small cell lung cancer as a predictor of response to gefitinib |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3525047/ https://www.ncbi.nlm.nih.gov/pubmed/23251095 http://dx.doi.org/10.2147/OTT.S37289 |
work_keys_str_mv | AT xufei comparisonofdifferentmethodsfordetectingepidermalgrowthfactorreceptormutationsinperipheralbloodandtumortissueofnonsmallcelllungcancerasapredictorofresponsetogefitinib AT wujingxun comparisonofdifferentmethodsfordetectingepidermalgrowthfactorreceptormutationsinperipheralbloodandtumortissueofnonsmallcelllungcancerasapredictorofresponsetogefitinib AT xuecong comparisonofdifferentmethodsfordetectingepidermalgrowthfactorreceptormutationsinperipheralbloodandtumortissueofnonsmallcelllungcancerasapredictorofresponsetogefitinib AT zhaoyuanyuan comparisonofdifferentmethodsfordetectingepidermalgrowthfactorreceptormutationsinperipheralbloodandtumortissueofnonsmallcelllungcancerasapredictorofresponsetogefitinib AT jiangwei comparisonofdifferentmethodsfordetectingepidermalgrowthfactorreceptormutationsinperipheralbloodandtumortissueofnonsmallcelllungcancerasapredictorofresponsetogefitinib AT linliping comparisonofdifferentmethodsfordetectingepidermalgrowthfactorreceptormutationsinperipheralbloodandtumortissueofnonsmallcelllungcancerasapredictorofresponsetogefitinib AT wuxuan comparisonofdifferentmethodsfordetectingepidermalgrowthfactorreceptormutationsinperipheralbloodandtumortissueofnonsmallcelllungcancerasapredictorofresponsetogefitinib AT luyachao comparisonofdifferentmethodsfordetectingepidermalgrowthfactorreceptormutationsinperipheralbloodandtumortissueofnonsmallcelllungcancerasapredictorofresponsetogefitinib AT baihua comparisonofdifferentmethodsfordetectingepidermalgrowthfactorreceptormutationsinperipheralbloodandtumortissueofnonsmallcelllungcancerasapredictorofresponsetogefitinib AT xujiasen comparisonofdifferentmethodsfordetectingepidermalgrowthfactorreceptormutationsinperipheralbloodandtumortissueofnonsmallcelllungcancerasapredictorofresponsetogefitinib AT zhuguanshan comparisonofdifferentmethodsfordetectingepidermalgrowthfactorreceptormutationsinperipheralbloodandtumortissueofnonsmallcelllungcancerasapredictorofresponsetogefitinib AT zhangli comparisonofdifferentmethodsfordetectingepidermalgrowthfactorreceptormutationsinperipheralbloodandtumortissueofnonsmallcelllungcancerasapredictorofresponsetogefitinib |