Literature DB >> 24002698

Direct sequencing and amplification refractory mutation system for epidermal growth factor receptor mutations in patients with non-small cell lung cancer.

Huili Chu1, Chen Zhong, Guoliang Xue, Xiuju Liang, Jun Wang, Yingxin Liu, Shiwei Zhao, Qian Zhou, Jingwang Bi.   

Abstract

Treatment with epidermal growth factor receptor (EGFR) tyrosine inhibitors (EGFR-TKIs) provides encouraging outcomes for advanced non-small cell lung cancer (NSCLC) patients with EGFR mutations. Pleural effusion is a common complication of NSCLC. We compared direct DNA sequencing and ADx Amplification Refractory Mutation System (ADx-ARMS) to detect EGFR mutations in malignant pleural effusion samples. We obtained 24 samples from pleural effusion fluid of NSCLC patients. Three common types of EGFR mutations were examined by direct sequencing and ADx-ARMS analysis. The sensitivity of the methods was compared and the relationship between EGFR mutations and response rates of the patients determined. In 14/24 patients, we detected EGFR mutations (58.3%) by ADx-ARMS, and in 10 samples (41.7%) by direct sequencing. In 6 samples, EGFR mutations were on exon 19, and in 8 samples, mutations were on exon 21 by ADx-ARMS. By contrast, we found EGFR mutations in 4 samples on exon 19, and in 6 samples on exon 21 by direct sequencing. Neither method showed mutations on exon 20. Among the 24 patients, there was 83.3% concordance for the methods. In 18/24 patients, gefitinib treatment was administered, including 10 patients with mutations who showed improved response compared to 8 of the wild-type patients (P<0.05). In conclusion, EGFR mutation analysis by ADx-ARMS was the most sensitive compared to direct sequencing, and provided more reliable EGFR mutation assessments. ADx-ARMS could be introduced into the clinical practice to identify NSCLC patients likely to benefit from TKI treatment, especially those with malignant pleural effusion.

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Year:  2013        PMID: 24002698     DOI: 10.3892/or.2013.2709

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  9 in total

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Authors:  Minmin Wu; Xiaodong Pan; Yaya Xu; Siying Wu; Xiuling Wu; Bicheng Chen
Journal:  Oncol Lett       Date:  2018-05-22       Impact factor: 2.967

3.  Exploring the impact of EGFR T790M neighboring SNPs on ARMS-based T790M mutation assay.

Authors:  Sanpeng Xu; Yaqi Duan; Liping Lou; Fengjuan Tang; Juan Shou; Guoping Wang
Journal:  Oncol Lett       Date:  2016-09-26       Impact factor: 2.967

4.  CT Features Associated with Epidermal Growth Factor Receptor Mutation Status in Patients with Lung Adenocarcinoma.

Authors:  Ying Liu; Jongphil Kim; Fangyuan Qu; Shichang Liu; Hua Wang; Yoganand Balagurunathan; Zhaoxiang Ye; Robert J Gillies
Journal:  Radiology       Date:  2016-03-03       Impact factor: 11.105

5.  Clinicopathological Characteristics And EGFR-TKIs Efficacies In Lung Squamous Cell Carcinoma Patients Harboring An EGFR Sensitizing Mutation.

Authors:  Shaozhang Zhou; Huilin Wang; Wei Jiang; Qitao Yu
Journal:  Onco Targets Ther       Date:  2019-10-30       Impact factor: 4.147

6.  Comparison of direct sequencing and amplification refractory mutation system for detecting epidermal growth factor receptor mutation in non-small-cell lung cancer patients: a systematic review and meta-analysis.

Authors:  Qi Feng; Zu-Yao Yang; Jia-Tong Zhang; Jin-Ling Tang
Journal:  Oncotarget       Date:  2017-07-08

7.  The association between clinical prognostic factors and epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) efficacy in advanced non-small-cell lung cancer patients: a retrospective assessment of 94 cases with EGFR mutations.

Authors:  Jing-Hui Lin; Dong Lin; Ling Xu; Qiang Wang; Hui-Hua Hu; Hai-Peng Xu; Zhi-Yong He
Journal:  Oncotarget       Date:  2017-01-10

8.  Relationship of epidermal growth factor receptor activating mutations with histologic subtyping according to International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society 2011 adenocarcinoma classification and their impact on overall survival.

Authors:  Venkata Nagarjuna Maturu; Navneet Singh; Amanjit Bal; Nalini Gupta; Ashim Das; Digambar Behera
Journal:  Lung India       Date:  2016 May-Jun

9.  Personalized drug testing in a patient with non-small-cell lung cancer using cultured cancer cells from pleural effusion.

Authors:  Ming Wu; Guodai Hong; Yu Chen; Lina Ye; Kang Zhang; Kaihong Cai; Huadong Yang; Xiang Long; Wenbin Gao; Hui Li
Journal:  J Int Med Res       Date:  2020-09       Impact factor: 1.671

  9 in total

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