Literature DB >> 24891042

A comparison of epidermal growth factor receptor mutation testing methods in different tissue types in non-small cell lung cancer.

Suqin Yi1, Yuan Zhuang1, Jun Zhou1, Haitao Ma2, Jianan Huang3, Lin Wang4, Weidong Zhu5, Suya Kang5, Linchuan Guo5, Feng Guo1.   

Abstract

The detection of somatic epidermal growth factor receptor (EGFR) mutations is valuable when an appropriate therapy, either EGFR-tyrosine kinase inhibitor (TKI) therapy or chemotherapy, for patients with advanced non-small cell lung cancer (NSCLC) needs to be selected. Although it is well‑understood that EGFR mutation detection is significant for the decision‑making regarding treatment, no consensus on the methodology that should be the most preferebale for detecting mutations in clinical practice has been reached. The presence of false positives due to the technique carried out for mutation analysis affects the accurate estimation of response EGFR-TKI therapy. Furthermore, false negatives directly exclude the potential application of an EGFR-TKI. In the present study, we present the results of detecting EGFR mutations in individual sample types using three different low- or high-sensitivity techniques. We suggest that the choice of the method used should be made based on the type of the sample. Our results revealed that EGFR mutations were less frequently detected in bronchoscopic biopsies, regardless of the method used. However, the amplification refractory mutation system (ARMS) was optimal owing to the small amount of DNA prepared for biopsy. The cytology sample was a valuable alternative to traditional samples, given that a sensitive method for detecting mutations was used. For surgical resections, the testing method may be selected based on the expertise of each laboratory, but direct sequencing is highly recommended. We also suggest that two methods should be used sequentially (the screening and targeted methods) in clinical practice due to the presence of non-neglected discordance between any method from its own benefits and drawbacks.

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Year:  2014        PMID: 24891042     DOI: 10.3892/ijmm.2014.1789

Source DB:  PubMed          Journal:  Int J Mol Med        ISSN: 1107-3756            Impact factor:   4.101


  6 in total

1.  Exon 19 L747P mutation presented as a primary resistance to EGFR-TKI: a case report.

Authors:  Yu-Ting Wang; Wei-Wei Ning; Jing Li; Jian-An Huang
Journal:  J Thorac Dis       Date:  2016-07       Impact factor: 2.895

2.  Phase II study of biomarker-guided neoadjuvant treatment strategy for IIIA-N2 non-small cell lung cancer based on epidermal growth factor receptor mutation status.

Authors:  Wenzhao Zhong; Xuening Yang; Honghong Yan; Xuchao Zhang; Jian Su; Zhihong Chen; Riqiang Liao; Qiang Nie; Song Dong; Qing Zhou; Jinji Yang; Haiyan Tu; Yi-Long Wu
Journal:  J Hematol Oncol       Date:  2015-05-17       Impact factor: 17.388

Review 3.  Preanalytic parameters in epidermal growth factor receptor mutation testing for non-small cell lung carcinoma: A review of cytologic series.

Authors:  Gilda da Cunha Santos; Mauro Ajaj Saieg
Journal:  Cancer Cytopathol       Date:  2015-08-19       Impact factor: 5.284

4.  The Lifted Veil of Uncommon EGFR Mutation p.L747P in Non-Small Cell Lung Cancer: Molecular Feature and Targeting Sensitivity to Tyrosine Kinase Inhibitors.

Authors:  Guangjian Yang; Chengming Liu; Jiaqi Hu; Yang Sun; Peizeng Hu; Liu Liu; Haiyan Xu; Dazhou Li; Weihua Li; Yaning Yang; Nan Sun; Jie He; Yan Wang
Journal:  Front Oncol       Date:  2022-02-11       Impact factor: 6.244

5.  Exploratory cohort study and meta-analysis of BIM deletion polymorphism in patients with epidermal growth factor receptor-mutant non-small-cell lung cancer treated with epidermal growth factor receptor tyrosine kinase inhibitors.

Authors:  Si Sun; Hui Yu; Huijie Wang; Xinmin Zhao; Xintai Zhao; Xianghua Wu; Jie Qiao; Jianhua Chang; Jialei Wang
Journal:  Onco Targets Ther       Date:  2017-04-03       Impact factor: 4.147

6.  High hsa_circ_0020123 expression indicates poor progression to non-small cell lung cancer by regulating the miR-495/HOXC9 axis.

Authors:  Rui Bi; Wei Wei; Yunhui Lu; Fengqing Hu; Xuhui Yang; Yuan Zhong; Lifei Meng; Mingsong Wang; Lianyong Jiang; Xiao Xie
Journal:  Aging (Albany NY)       Date:  2020-09-14       Impact factor: 5.682

  6 in total

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