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
Authors Xu, Fei
Wu, Jingxun
Xue, Cong
Zhao, Yuanyuan
Jiang, Wei
Lin, Liping
Wu, Xuan
Lu, Yachao
Bai, Hua
Xu, Jiasen
Zhu, Guanshan
Zhang, Li
Affiliation Sun Yat Sen Univ, Ctr Canc, Dept Med Oncol, State Key Lab Oncol S China, Guangzhou 510060, Guangdong, Peoples R China.
Xiamen Univ, Affiliated Hosp 1, Dept Med Oncol, Xiamen, Fujian, Peoples R China.
Guangxi Med Univ, Canc Hosp, Dept Med Oncol, Nanning, Guangxi, Peoples R China.
Guangxi Autonomous Reg Canc Hosp, Nanning, Guangxi, Peoples R China.
Panyu Cent Hosp, Dept Hematol & Oncol, Guangzhou, Guangdong, Peoples R China.
Sun Yat Sen Univ, Affiliated Hosp 5, Dept Chemotherapy, Zhuhai, Guangdong, Peoples R China.
AstraZeneca Global R&D, Innovat Ctr China, Shanghai, Peoples R China.
Peking Univ, Sch Oncol, Beijing Canc Hosp & Inst, Dept Thorac Med Oncol, Beijing 100871, Peoples R China.
SurExam Biotech Co Ltd, Sci City, Guangzhou, Guangdong, Peoples R China.
Sun Yat Sen Univ, Ctr Canc, Dept Med Oncol, State Key Lab Oncol S China, 651 Dongfeng Rd E, Guangzhou 510060, Guangdong, Peoples R China.
Keywords non-small cell lung cancer
EGFR mutation
mutation detection methods
gefitinib
GENE-MUTATIONS
SERUM
ERLOTINIB
EGFR
DNA
RESPONSIVENESS
AMPLIFICATION
GUIDELINES
FEATURES
SAMPLES
Issue Date 2012
Publisher oncotargets and therapy
Citation ONCOTARGETS AND THERAPY.2012,5,439-447.
Abstract 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.
URI http://hdl.handle.net/20.500.11897/393832
ISSN 1178-6930
DOI 10.2147/OTT.S37289
Indexed SCI(E)
Appears in Collections: 北京肿瘤医院

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