Literature DB >> 21986139

Serum detection of epidermal growth factor receptor gene mutations using mutant-enriched sequencing in Chinese patients with advanced non-small cell lung cancer.

B Jiang1, F Liu, L Yang, W Zhang, H Yuan, J Wang, G Huang.   

Abstract

Epidermal growth factor receptor gene (EGFR) mutations are among the best predictive markers of the efficacy of EGFR tyrosine kinase inhibitor (EGFR-TKI) treatment. Mutations in the EGFR gene confer sensitivity to EGFR-TKIs in patients with advanced non-small cell lung cancer (NSCLC). This study determined the concordance rate of EGFR mutations in serum samples and tumour tissue from Chinese patients with advanced NSCLC and compared two detection methods: mutant-enriched polymerase chain reaction-based DNA sequencing and non-enriched sequencing. The EGFR mutation status in serum was consistent with that in paired tumour samples, with a concordance rate of 93.1% for mutant-enriched sequencing. In serum samples, mutant-enriched sequencing demonstrated sensitivity and specificity of 77.8% and 100%, respectively, and was more sensitive than the non-enriched assay. Mutant-enriched sequencing in serum may provide a non-invasive and sensitive method for detecting EGFR mutation status in patients with unresectable NSCLC.

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Year:  2011        PMID: 21986139     DOI: 10.1177/147323001103900425

Source DB:  PubMed          Journal:  J Int Med Res        ISSN: 0300-0605            Impact factor:   1.671


  25 in total

Review 1.  Role of quantitative and qualitative characteristics of free circulating DNA in the management of patients with non-small cell lung cancer.

Authors:  Paola Ulivi; Rosella Silvestrini
Journal:  Cell Oncol (Dordr)       Date:  2013-11-01       Impact factor: 6.730

2.  Monitoring of carcinoembryonic antigen levels is predictive of EGFR mutations and efficacy of EGFR-TKI in patients with lung adenocarcinoma.

Authors:  Yanwei Zhang; Bo Jin; Minhua Shao; Yu Dong; Yuqing Lou; Aimi Huang; Baohui Han
Journal:  Tumour Biol       Date:  2014-01-24

3.  Evaluation of PCR-HRM, RFLP, and direct sequencing as simple and cost-effective methods to detect common EGFR mutations in plasma cell-free DNA of non-small cell lung cancer patients.

Authors:  Jamal Zaini; Elisna Syahruddin; Muhammad Yunus; Sita Laksmi Andarini; Achmad Hudoyo; Najmiatul Masykura; Refniwita Yasril; Asep Ridwanuloh; Heriawaty Hidajat; Fariz Nurwidya; Sony Suharsono; Ahmad R H Utomo
Journal:  Cancer Rep (Hoboken)       Date:  2019-02-03

Review 4.  Emerging platforms using liquid biopsy to detect EGFR mutations in lung cancer.

Authors:  Chien-Chung Lin; Wei-Lun Huang; Fang Wei; Wu-Chou Su; David T Wong
Journal:  Expert Rev Mol Diagn       Date:  2015-09-30       Impact factor: 5.225

Review 5.  Circulating DNA in diagnosis and monitoring EGFR gene mutations in advanced non-small cell lung cancer.

Authors:  Paola Bordi; Marzia Del Re; Romano Danesi; Marcello Tiseo
Journal:  Transl Lung Cancer Res       Date:  2015-10

Review 6.  Cell-free circulating tumor DNA in plasma/serum of non-small cell lung cancer.

Authors:  Kun Nie; Yujie Jia; Xuezhu Zhang
Journal:  Tumour Biol       Date:  2014-10-29

Review 7.  Clinical Utility of Liquid Diagnostic Platforms in Non-Small Cell Lung Cancer.

Authors:  Benjamin Levy; Zishuo I Hu; Kristen N Cordova; Sandra Close; Karen Lee; Daniel Becker
Journal:  Oncologist       Date:  2016-07-07

8.  Insufficiency of peripheral blood as a substitute tissue for detecting EGFR mutations in lung cancer: a meta-analysis.

Authors:  Zhijun Li; Yongjun Zhang; Wenlong Bao; Chuming Jiang
Journal:  Target Oncol       Date:  2014-03-14       Impact factor: 4.493

Review 9.  Target therapy in NSCLC patients: Relevant clinical agents and tumour molecular characterisation.

Authors:  Paola Ulivi; Wainer Zoli; Laura Capelli; Elisa Chiadini; Daniele Calistri; Dino Amadori
Journal:  Mol Clin Oncol       Date:  2013-03-29

Review 10.  The Emergent Landscape of Detecting EGFR Mutations Using Circulating Tumor DNA in Lung Cancer.

Authors:  Wei-Lun Huang; Fang Wei; David T Wong; Chien-Chung Lin; Wu-Chou Su
Journal:  Biomed Res Int       Date:  2015-09-13       Impact factor: 3.411

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