Literature DB >> 29565727

Mutation abundance affects the therapeutic efficacy of EGFR-TKI in patients with advanced lung adenocarcinoma: A retrospective analysis.

Huijuan Wang1, Mina Zhang1, Wanyu Tang1, Jie Ma2, Bing Wei2, Yuanyuan Niu1, Guowei Zhang1, Peng Li1, Xiangtao Yan1, Zhiyong Ma1.   

Abstract

PURPOSE: To investigate the influence of mutation abundance and sites of epidermal growth factor receptor (EGFR) on therapeutic efficacies of EGFR-tyrosine kinase inhibitor (EGFR-TKIs) treatments of patients with advanced non-small cell lung carcinoma (NSCLC).
METHODS: EGFR mutational sites and mutation abundance were analyzed by amplification refractory mutation system (ARMS) in paraffin-embedded tissue sections taken from primary or metastatic tumors of 194 NSCLC patients.
RESULTS: The median progression-free survival (PFS) time of the enrolled patients was 9.3 months (95% CI, 8.2-10.8 months). The PFS was significantly different with EGFR gene mutation abundance after EGFR-TKI therapy (P = 0.014). The median PFS was significantly longer when the cut-off value of EGFR mutation abundance of exon 19 or exon 21, and solely exon 19 was > 26.7% and 61.8%, respectively. For patients who received EGFR-TKI as first-line treatment, the median PFS was significantly longer in the high mutation abundance group than in the low mutation abundance group (12.7 vs 8.7 months, P = 0.002).
CONCLUSION: The PFS benefits were greater in patients with a higher abundance of exon 19 deletion mutations in the EGFR gene after EGFR-TKI treatment and first line EGFR-TKI treatment led to improved PFS in high mutation abundance patients.

Entities:  

Keywords:  ARMS; EGFR; EGFR-TKI; lung adenocarcinoma; mutation abundance

Mesh:

Substances:

Year:  2018        PMID: 29565727      PMCID: PMC6067862          DOI: 10.1080/15384047.2018.1450115

Source DB:  PubMed          Journal:  Cancer Biol Ther        ISSN: 1538-4047            Impact factor:   4.742


  34 in total

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3.  First-SIGNAL: first-line single-agent iressa versus gemcitabine and cisplatin trial in never-smokers with adenocarcinoma of the lung.

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4.  Gefitinib or chemotherapy for non-small-cell lung cancer with mutated EGFR.

Authors:  Makoto Maemondo; Akira Inoue; Kunihiko Kobayashi; Shunichi Sugawara; Satoshi Oizumi; Hiroshi Isobe; Akihiko Gemma; Masao Harada; Hirohisa Yoshizawa; Ichiro Kinoshita; Yuka Fujita; Shoji Okinaga; Haruto Hirano; Kozo Yoshimori; Toshiyuki Harada; Takashi Ogura; Masahiro Ando; Hitoshi Miyazawa; Tomoaki Tanaka; Yasuo Saijo; Koichi Hagiwara; Satoshi Morita; Toshihiro Nukiwa
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5.  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

6.  Screening for epidermal growth factor receptor mutations in lung cancer.

Authors:  Rafael Rosell; Teresa Moran; Cristina Queralt; Rut Porta; Felipe Cardenal; Carlos Camps; Margarita Majem; Guillermo Lopez-Vivanco; Dolores Isla; Mariano Provencio; Amelia Insa; Bartomeu Massuti; Jose Luis Gonzalez-Larriba; Luis Paz-Ares; Isabel Bover; Rosario Garcia-Campelo; Miguel Angel Moreno; Silvia Catot; Christian Rolfo; Noemi Reguart; Ramon Palmero; José Miguel Sánchez; Roman Bastus; Clara Mayo; Jordi Bertran-Alamillo; Miguel Angel Molina; Jose Javier Sanchez; Miquel Taron
Journal:  N Engl J Med       Date:  2009-08-19       Impact factor: 91.245

7.  Comparison of the efficacy of gefitinib in patients with non-small cell lung cancer according to the type of epidermal growth factor receptor mutation.

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Review 8.  Somatic EGFR mutations and efficacy of tyrosine kinase inhibitors in NSCLC.

Authors:  Helena Linardou; Issa J Dahabreh; Dimitrios Bafaloukos; Paris Kosmidis; Samuel Murray
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9.  Clinical course of patients with non-small cell lung cancer and epidermal growth factor receptor exon 19 and exon 21 mutations treated with gefitinib or erlotinib.

Authors:  Gregory J Riely; William Pao; Duykhanh Pham; Allan R Li; Naiyer Rizvi; Ennapadam S Venkatraman; Maureen F Zakowski; Mark G Kris; Marc Ladanyi; Vincent A Miller
Journal:  Clin Cancer Res       Date:  2006-02-01       Impact factor: 12.531

10.  Inhibition of EGFR signaling: all mutations are not created equal.

Authors:  Adi F Gazdar; John D Minna
Journal:  PLoS Med       Date:  2005-11-29       Impact factor: 11.069

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

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3.  EGFR variant allele frequency predicts EGFR-TKI efficacy in lung adenocarcinoma: a multicenter study.

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Journal:  Transl Lung Cancer Res       Date:  2021-02

4.  Comprehensive analysis of aneuploidy status and its effect on the efficacy of EGFR-TKIs in lung cancer.

Authors:  Bing Wei; Chengzhi Zhao; Ke Yang; Chi Yan; Yuxi Chang; Huijie Gao; Yongjun Guo; Jie Ma
Journal:  J Thorac Dis       Date:  2022-03       Impact factor: 2.895

5.  EGFR mutation types and abundance were associated with the overall survival of advanced lung adenocarcinoma patients receiving first-line tyrosine kinase inhibitors.

Authors:  Yang Liu; Hongyan Wang; Sen Yang; Yuanyuan Yang; Yufeng Wu; Zhen He; Shuxiang Ma; Yuqing Mo; Haiyang Chen; Qiming Wang; Hong Ge
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6.  Different subtypes of EGFR exon19 mutation can affect prognosis of patients with non-small cell lung adenocarcinoma.

Authors:  Yingying Tian; Jiuzhou Zhao; Pengfei Ren; Bo Wang; Chengzhi Zhao; Chao Shi; Bing Wei; Jie Ma; Yongjun Guo
Journal:  PLoS One       Date:  2018-11-01       Impact factor: 3.240

7.  Prognostic role of epidermal growth factor receptor mutation status in patients with de novo lung adenocarcinoma.

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8.  18F-Fluorodeoxyglucose PET/CT for Early Prediction of Outcomes in Patients with Advanced Lung Adenocarcinomas and EGFR Mutations Treated with First-Line EGFR-TKIs.

Authors:  Yu-Erh Huang; Ying-Huang Tsai; Yu-Jie Huang; Jr-Hau Lung; Kuo-Wei Ho; Tzu-Chen Yen; Sheng-Chieh Chan; Shu-Tian Chen; Ming-Feng Tsai; Ming-Szu Hung
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  8 in total

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