Literature DB >> 24439568

Analytical performance of the cobas EGFR mutation assay for Japanese non-small-cell lung cancer.

Hideharu Kimura1, Tatsuo Ohira2, Osamu Uchida3, Jun Matsubayashi4, Shinichiro Shimizu5, Toshitaka Nagao4, Norihiko Ikeda2, Kazuto Nishio6.   

Abstract

INTRODUCTION: Clinical outcomes in non-small-cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutations have been reported to be correlated with the use of EGFR-tyrosine kinase inhibitors (EGFR-TKIs). Therefore, it is essential to confirm the presence of EGFR mutations using highly sensitive testing methods. In this study, we compared the performance of the cobas(®) EGFR Mutation Test (cobas EGFR assay) and the therascreen(®) EGFR RGQ PCR Kit (therascreen EGFR assay) for use as an in vitro diagnostic (IVD) product.
METHODS: We extracted DNA from 150 formalin-fixed, paraffin-embedded tissue samples from 150 patients diagnosed with NSCLC, and performed a comparative study of the cobas EGFR and therascreen EGFR assay methods. All discordant results were re-analyzed by direct sequencing.
RESULTS: The concordance rate between the cobas EGFR assay and the therascreen EGFR assay was 98.0% (145/148). EGFR mutations were detected at a frequency of 40.9% (61/149) in NSCLC specimens using the cobas EGFR assay and 40.2% (60/149) using the therascreen EGFR assay. Three discrepant results were found in this study. Two double mutations were detected by the cobas EGFR assay but only one in the therascreen EGFR assay. No invalid results resulted from sample analysis by the cobas EGFR assay.
CONCLUSIONS: Our results show a high concordance rate (98.0%) of cobas EGFR assay with an existing IVD product, the therascreen EGFR assay. Since they are IVD diagnostic products, both assays proved to be simple, validated methods in detecting the most common, clinically significant EGFR mutations and proved to be helpful for appropriate treatment guidance for NSCLC patients.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Companion diagnostics; EGFR mutation; EGFR-TKI treatment; Non-small-cell lung cancer; Personalised healthcare; cobas(®) EGFR Mutation Test

Mesh:

Substances:

Year:  2014        PMID: 24439568     DOI: 10.1016/j.lungcan.2013.12.012

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  19 in total

1.  Frequency and significance of epidermal growth factor receptor mutations detected by PCR methods in patients with non-small cell lung cancer.

Authors:  Eiji Nakajima; Michio Sugita; Kinya Furukawa; Hidenobu Takahashi; Osamu Uchida; Youhei Kawaguchi; Tatsuo Ohira; Jun Matsubayashi; Norihiko Ikeda; Fred R Hirsch; Wilbur A Franklin
Journal:  Oncol Lett       Date:  2019-03-18       Impact factor: 2.967

2.  Genetic polymorphisms in oxidative stress-related genes are associated with clinical outcome in patients with advanced non-small cell lung cancer receiving tyrosine kinase inhibitors.

Authors:  Yunhua Xu; Qunxiong Pan; Chongren Wang; Chunya He; Zijian Su; Xiaowei Guo; Jian Zhang; Min Kong; Shaoying Ke; Jianhua Zhang; Baofu Chen; Haihui Sheng; Xuelin Zhang
Journal:  Am J Cancer Res       Date:  2014-11-19       Impact factor: 6.166

3.  therascreen® EGFR RGQ PCR Kit: A Companion Diagnostic for Afatinib and Gefitinib in Non-Small Cell Lung Cancer.

Authors:  Yahiya Y Syed
Journal:  Mol Diagn Ther       Date:  2016-04       Impact factor: 4.074

4.  Establishment of a Flexible Real-Time Polymerase Chain Reaction-Based Platform for Detecting Prevalent Deafness Mutations Associated with Variable Degree of Sensorineural Hearing Loss in Koreans.

Authors:  Kyu-Hee Han; Ah Reum Kim; Min Young Kim; Soyeon Ahn; Seung-Ha Oh; Ju Hun Song; Byung Yoon Choi
Journal:  PLoS One       Date:  2016-09-01       Impact factor: 3.240

5.  Heterogeneity of resistance mutations detectable by nextgeneration sequencing in TKI-treated lung adenocarcinoma.

Authors:  Deborah A Belchis; Li-Hui Tseng; Thomas Gniadek; Lisa Haley; Parvez Lokhandwala; Peter Illei; Christopher D Gocke; Patrick Forde; Julie Brahmer; Frederic B Askin; James R Eshleman; Ming-Tseh Lin
Journal:  Oncotarget       Date:  2016-07-19

6.  Evaluation of a novel saliva-based epidermal growth factor receptor mutation detection for lung cancer: A pilot study.

Authors:  Dan Pu; Hao Liang; Fang Wei; David Akin; Ziding Feng; QingXiang Yan; Yin Li; Yan Zhen; Lin Xu; Gaochao Dong; Huajing Wan; Jingsi Dong; Xiaoming Qiu; Changlong Qin; Daxing Zhu; Xi Wang; Tong Sun; Wenbiao Zhang; Canjun Li; Xiaojun Tang; Youlin Qiao; David T W Wong; Qinghua Zhou
Journal:  Thorac Cancer       Date:  2016-05-13       Impact factor: 3.500

7.  EGFR mutation, smoking, and gender in advanced lung adenocarcinoma.

Authors:  Chien-Hua Tseng; Chun-Ju Chiang; Jeng-Sen Tseng; Tsung-Ying Yang; Kuo-Hsuan Hsu; Kun-Chieh Chen; Chih-Liang Wang; Chih-Yi Chen; Sang-Hue Yen; Chun-Ming Tsai; Ming-Shyan Huang; Chao-Chi Ho; Chong-Jen Yu; Ying-Huang Tsai; Jin-Shing Chen; Teh-Ying Chou; Ming-Hsun Tsai; Hsuan-Yu Chen; Kang-Yi Su; Jeremy J W Chen; Huei-Wen Chen; Sung-Liang Yu; Tsang-Wu Liu; Gee-Chen Chang
Journal:  Oncotarget       Date:  2017-10-12

8.  Clinical mutational profiling of 1006 lung cancers by next generation sequencing.

Authors:  Peter B Illei; Deborah Belchis; Li-Hui Tseng; Doreen Nguyen; Federico De Marchi; Lisa Haley; Stacy Riel; Katie Beierl; Gang Zheng; Julie R Brahmer; Frederic B Askin; Christopher D Gocke; James R Eshleman; Patrick M Forde; Ming-Tseh Lin
Journal:  Oncotarget       Date:  2017-05-20

9.  Droplet digital PCR-based EGFR mutation detection with an internal quality control index to determine the quality of DNA.

Authors:  Sung-Su Kim; Hyun-Jeung Choi; Jin Ju Kim; M Sun Kim; In-Seon Lee; Bohyun Byun; Lina Jia; Myung Ryurl Oh; Youngho Moon; Sarah Park; Joon-Seok Choi; Seoung Wan Chae; Byung-Ho Nam; Jin-Soo Kim; Jihun Kim; Byung Soh Min; Jae Seok Lee; Jae-Kyung Won; Soo Youn Cho; Yoon-La Choi; Young Kee Shin
Journal:  Sci Rep       Date:  2018-01-11       Impact factor: 4.379

10.  Impact of EGFR mutation detection methods on the efficacy of erlotinib in patients with advanced EGFR-wild type lung adenocarcinoma.

Authors:  Jeng-Sen Tseng; Chih-Liang Wang; Ming-Shyan Huang; Chung-Yu Chen; Cheng-Yu Chang; Tsung-Ying Yang; Chi-Ren Tsai; Kun-Chieh Chen; Kuo-Hsuan Hsu; Meen-Hsin Tsai; Sung-Liang Yu; Kang-Yi Su; Chih-Wei Wu; Cheng-Ta Yang; Yuh-Min Chen; Gee-Chen Chang
Journal:  PLoS One       Date:  2014-09-12       Impact factor: 3.240

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