Literature DB >> 28800007

Comparison of Epidermal Growth Factor Receptor Gene Mutations Identified Using Pleural Effusion and Primary Tumor Tissue Samples in Non-Small Cell Lung Cancer.

Nan Liu1, Rui-Ze Sun, Jiang Du, Qian-Ze Dong, Chui-Feng Fan, Qing-Chang Li, En-Hua Wang, Yang Liu.   

Abstract

BACKGROUND: Although the use of pleural effusion samples for epidermal growth factor receptor (EGFR) testing in lung cancer is increasing, the accuracy rate and effectiveness of identifying EGFR mutations using these samples, rather than primary tumor tissue samples, is not established.
MATERIALS AND METHODS: One hundred ninety-two advanced, non-small cell lung cancer patients were enrolled into this study. All patients had primary tumor tissue and corresponding pleural effusion samples, and we employed the Amplification Refractory Mutation System to detect EGFR gene mutations in these samples. RESULT: The number of EGFR mutations detected in primary tumor tissue and pleural effusion samples was 119 (61.98%) and 113 (58.85%), respectively. The EGFR-mutation rate was significantly higher in female than in male patients, and in adenocarcinoma than in nonadenocarcinoma patients (P=0.000). Single mutations in exons 19 and 21 were the predominant observed mutation type, and the overall concordance rate of EGFR-mutation status between the 192 matched pleural effusion and primary tumor tissue samples was 86.98%.
CONCLUSIONS: We observed a high concordance rate between EGFR mutations identified using primary tumor tissue and corresponding pleural effusion samples by Amplification Refractory Mutation System. Thus, it is likely that pleural effusion sampling from advanced non-small cell lung cancer patients, especially those with adenocarcinoma, may be effective in EGFR-mutation screening.

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Year:  2018        PMID: 28800007     DOI: 10.1097/PAI.0000000000000543

Source DB:  PubMed          Journal:  Appl Immunohistochem Mol Morphol        ISSN: 1533-4058


  7 in total

1.  Bronchial brushing cytology is comparable to bronchial biopsy for epidermal growth factor receptor mutation test in non-small cell lung cancer.

Authors:  Joo-Yeon Koo; Nah-Ihm Kim; Taebum Lee; Yoo-Duk Choi
Journal:  Cytojournal       Date:  2020-07-16       Impact factor: 2.091

2.  Discordance of epidermal growth factor receptor mutation between primary lung tumor and paired distant metastases in non-small cell lung cancer: A systematic review and meta-analysis.

Authors:  Chia Ching Lee; Yu Yang Soon; Char Loo Tan; Wee Yao Koh; Cheng Nang Leong; Jeremy Chee Seong Tey; Ivan Weng Keong Tham
Journal:  PLoS One       Date:  2019-06-19       Impact factor: 3.240

3.  Epidermal Growth Factor Receptor Mutation Frequency in Squamous Cell Carcinoma and Its Diagnostic Performance in Cytological Samples: A Molecular and Immunohistochemical Study.

Authors:  Niraj Kumari; Shalini Singh; Dhanjit Haloi; Shravan Kumar Mishra; Narendra Krishnani; Alok Nath; Zafar Neyaz
Journal:  World J Oncol       Date:  2019-06-29

4.  Circulating plasma lncRNAs as novel markers of EGFR mutation status and monitors of epidermal growth factor receptor-tyrosine kinase inhibitor therapy.

Authors:  Panpan Lv; Shaoxing Yang; Wenjing Liu; Haifeng Qin; Xiuhua Tang; Fangfang Wu; Zeyuan Liu; Hongjun Gao; Xiaoqing Liu
Journal:  Thorac Cancer       Date:  2019-11-05       Impact factor: 3.500

Review 5.  Biomarkers in the diagnosis of pleural diseases: a 2018 update.

Authors:  José M Porcel
Journal:  Ther Adv Respir Dis       Date:  2018 Jan-Dec       Impact factor: 4.031

6.  Carcinoembryonic antigen in pleural effusion of patients with lung adenocarcinoma: a predictive marker for EGFR mutation.

Authors:  Yan-Ling Lv; Hong-Bing Liu; Dong-Mei Yuan; Li Zhou; Shu-Xian Jin; Yong Song
Journal:  Transl Cancer Res       Date:  2019-08       Impact factor: 1.241

Review 7.  Clinicopathologic Features and Molecular Biomarkers as Predictors of Epidermal Growth Factor Receptor Gene Mutation in Non-Small Cell Lung Cancer Patients.

Authors:  Lanlan Liu; Xianzhi Xiong
Journal:  Curr Oncol       Date:  2021-12-24       Impact factor: 3.677

  7 in total

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