Literature DB >> 26157326

Epidermal growth factor receptor mutation analysis in cytological specimens and responsiveness to gefitinib in advanced non-small cell lung cancer patients.

Lin Li1, Zijin Zhang1, Zhixin Bie1, Zheng Wang1, Ping Zhang1, Xin Nie1, Yuanming Li1, Hui Wang1, Bin Ai1, Gang Cheng1.   

Abstract

BACKGROUND: Epidermal growth factor receptor (EGFR) mutation is the key predictor of EGFR tyrosine kinase inhibitors (TKIs) efficacy in non-small cell lung cancer (NSCLC). We conducted this study to verify the feasibility of EGFR mutation analysis in cytological specimens and investigate the responsiveness to gefitinib treatment in patients carrying EGFR mutations.
METHODS: A total of 210 cytological specimens were collected for EGFR mutation detection by both direct sequencing and amplification refractory mutation system (ARMS). We analyzed EGFR mutation status by both methods and evaluated the responsiveness to gefitinib treatment in patients harboring EGFR mutations by overall response rate (ORR), disease control rate (DCR) and progression free survival (PFS).
RESULTS: Of all patients, EGFR mutation rate was 28.6% (60/210) by direct sequencing and 45.2% (95/210) by ARMS (P<0.001) respectively. Among the EGFR wild type patients tested by direct sequencing, 26.7% of them were positive by ARMS. For the 72 EGFR mutation positive patients treated with gefitinib, the ORR, DCR and median PFS were 69.4%, 90.2% and 9.3 months respectively. The patients whose EGFR mutation status was negative by direct sequencing but positive by ARMS had lower ORR (48.0% vs. 80.9%, P=0.004) and shorter median PFS (7.4 vs. 10.5 months, P=0.009) as compared with that of EGFR mutation positive patients by both detection methods.
CONCLUSIONS: Our study verified the feasibility of EGFR analysis in cytological specimens in advanced NSCLC. ARMS is more sensitive than direct sequencing in EGFR mutation detection. EGFR Mutation status tested on cytological samples is applicable for predicting the response to gefitinib. Abundance of EGFR mutations might have an influence on TKIs efficacy.

Entities:  

Keywords:  Non-small cell lung cancer (NSCLC); amplification refractory mutation system (ARMS); cytological specimen; epidermal growth factor receptor (EGFR) mutation; gefitinib

Year:  2015        PMID: 26157326      PMCID: PMC4490197          DOI: 10.3978/j.issn.1000-9604.2015.05.03

Source DB:  PubMed          Journal:  Chin J Cancer Res        ISSN: 1000-9604            Impact factor:   5.087


  22 in total

1.  Japanese ethnicity compared with Caucasian ethnicity and never-smoking status are independent favorable prognostic factors for overall survival in non-small cell lung cancer: a collaborative epidemiologic study of the National Hospital Organization Study Group for Lung Cancer (NHSGLC) in Japan and a Southern California Regional Cancer Registry databases.

Authors:  Tomoya Kawaguchi; Akihide Matsumura; Shimao Fukai; Atsuhisa Tamura; Ryusei Saito; Jason A Zell; Yosihito Maruyama; Argyrios Ziogas; Masaaki Kawahara; Sai-Hong Ignatius Ou
Journal:  J Thorac Oncol       Date:  2010-07       Impact factor: 15.609

2.  High sensitivity detection of epidermal growth factor receptor mutations in the pleural effusion of non-small cell lung cancer patients.

Authors:  Hideharu Kimura; Yutaka Fujiwara; Takashi Sone; Hideo Kunitoh; Tomohide Tamura; Kazuo Kasahara; Kazuto Nishio
Journal:  Cancer Sci       Date:  2006-07       Impact factor: 6.716

3.  Cancer statistics, 2010.

Authors:  Ahmedin Jemal; Rebecca Siegel; Jiaquan Xu; Elizabeth Ward
Journal:  CA Cancer J Clin       Date:  2010-07-07       Impact factor: 508.702

4.  Relative abundance of EGFR mutations predicts benefit from gefitinib treatment for advanced non-small-cell lung cancer.

Authors:  Qing Zhou; Xu-Chao Zhang; Zhi-Hong Chen; Xiao-Lu Yin; Jin-Ji Yang; Chong-Rui Xu; Hong-Hong Yan; Hua-Jun Chen; Jian Su; Wen-Zhao Zhong; Xue-Ning Yang; She-Juan An; Bin-Chao Wang; Yi-Sheng Huang; Zhen Wang; Yi-Long Wu
Journal:  J Clin Oncol       Date:  2011-07-25       Impact factor: 44.544

5.  The relationship between epidermal growth factor receptor mutations and clinicopathologic features in non-small cell lung cancers.

Authors:  Masaki Tokumo; Shinichi Toyooka; Katsuyuki Kiura; Hisayuki Shigematsu; Kunitoshi Tomii; Motoi Aoe; Kouichi Ichimura; Toshihide Tsuda; Masaaki Yano; Kazunori Tsukuda; Masahiro Tabata; Hiroshi Ueoka; Mitsune Tanimoto; Hiroshi Date; Adi F Gazdar; Nobuyoshi Shimizu
Journal:  Clin Cancer Res       Date:  2005-02-01       Impact factor: 12.531

Review 6.  Epidermal growth factor receptor mutations in lung cancer.

Authors:  Sreenath V Sharma; Daphne W Bell; Jeffrey Settleman; Daniel A Haber
Journal:  Nat Rev Cancer       Date:  2007-03       Impact factor: 60.716

7.  Identification of EGFR mutation, KRAS mutation, and ALK gene rearrangement in cytological specimens of primary and metastatic lung adenocarcinoma.

Authors:  Guoping Cai; Rebecca Wong; David Chhieng; Gillian H Levy; Scott N Gettinger; Roy S Herbst; Jonathan T Puchalski; Robert J Homer; Pei Hui
Journal:  Cancer Cytopathol       Date:  2013-03-12       Impact factor: 5.284

8.  Prospective validation for prediction of gefitinib sensitivity by epidermal growth factor receptor gene mutation in patients with non-small cell lung cancer.

Authors:  Kimihide Yoshida; Yasushi Yatabe; Ji Young Park; Junichi Shimizu; Yoshitsugu Horio; Keitaro Matsuo; Takayuki Kosaka; Tetsuya Mitsudomi; Toyoaki Hida
Journal:  J Thorac Oncol       Date:  2007-01       Impact factor: 15.609

9.  A comparison of ARMS and direct sequencing for EGFR mutation analysis and tyrosine kinase inhibitors treatment prediction in body fluid samples of non-small-cell lung cancer patients.

Authors:  Yi Liu; Bing Liu; Xiao-Yan Li; Jian-Jie Li; Hai-Feng Qin; Chuan-Hao Tang; Wan-Feng Guo; Hai-Xu Hu; Sha Li; Cui-Jing Chen; Bing Liu; Hong-Jun Gao; Xiao-Qing Liu
Journal:  J Exp Clin Cancer Res       Date:  2011-12-06

10.  Effectiveness of gefitinib against non-small-cell lung cancer with the uncommon EGFR mutations G719X and L861Q.

Authors:  Satoshi Watanabe; Yuji Minegishi; Hirohisa Yoshizawa; Makoto Maemondo; Akira Inoue; Shunichi Sugawara; Hiroshi Isobe; Masao Harada; Yoshiki Ishii; Akihiko Gemma; Koichi Hagiwara; Kunihiko Kobayashi
Journal:  J Thorac Oncol       Date:  2014-02       Impact factor: 15.609

View more
  3 in total

1.  Uncommon EGFR mutations in a cohort of Chinese NSCLC patients and outcomes of first-line EGFR-TKIs and platinum-based chemotherapy.

Authors:  Jinpeng Shi; Hui Yang; Tao Jiang; Xuefei Li; Chao Zhao; Limin Zhang; Sha Zhao; Xiaozhen Liu; Yijun Jia; Yan Wang; Lei Xi; Shijia Zhang; Chunxia Su; Shengxiang Ren; Caicun Zhou
Journal:  Chin J Cancer Res       Date:  2017-12       Impact factor: 5.087

2.  Survival difference between EGFR Del19 and L858R mutant advanced non-small cell lung cancer patients receiving gefitinib: a propensity score matching analysis.

Authors:  Minglei Zhuo; Qiwen Zheng; Jun Zhao; Meina Wu; Tongtong An; Yuyan Wang; Jianjie Li; Shuhang Wang; Jia Zhong; Xue Yang; Hanxiao Chen; Bo Jia; Zhi Dong; Emei Gao; Jingjing Wang; Ziping Wang
Journal:  Chin J Cancer Res       Date:  2017-12       Impact factor: 5.087

3.  Prognostic analysis of patients with mutant and wild-type EGFR gene lung adenocarcinoma.

Authors:  Hongmei Zheng; Yuting Zhang; Yuting Zhan; Sile Liu; Junmi Lu; Juan Feng; Xia Wu; Qiuyuan Wen; Songqing Fan
Journal:  Cancer Manag Res       Date:  2019-07-04       Impact factor: 3.989

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.