Literature DB >> 31425965

Non-small cell lung cancer harbouring non-resistant uncommon EGFR mutations: Mutation patterns, effectiveness of epidermal growth factor receptor-tyrosine kinase inhibitors and prognostic factors.

Lih-Chyun Chang1, Chor-Kuan Lim2, Lih-Yu Chang3, Kuan-Yu Chen4, Jin-Yuan Shih5, Chong-Jen Yu5.   

Abstract

INTRODUCTION: Non-small cell lung cancer (NSCLC) harbouring EGFR exon 19 deletions or L858R mutation usually respond to epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs), whereas T790M mutation and exon 20 insertion are frequently resistant to EGFR-TKIs. EGFR mutations other than those above are seldom investigated.
METHODS: In this multicentre, retrospective study, we enrolled NSCLC patients with non-resistant uncommon EGFR mutations, which were defined as mutations other than L858R, exon 19 deletions, exon 20 insertions and T790M. The mutation patterns, clinical data and treatment outcomes were analysed. Patients were classified as gefitinib/erlotinib and afatinib groups according to the EGFR-TKIs received as the first-line therapy.
RESULTS: A total of 177 patients were identified (177/1983, 8.9%). Sixty-six patients had more than one EGFR mutation, including those coexisting with exon 19 deletion or L858R mutation. In treatment-naïve patients with advanced stages (n = 72), the objective response rate was 35.8% for gefitinib/erlotinib group and 60.6% for afatinib group (p = 0.036). In multivariate analysis, no significant differences were found between gefitinib/erlotinib and afatinib groups in median progression-free survival (PFS) and overall survival (OS). Brain metastasis at diagnosis was associated with a shorter PFS (hazard ratio [HR] = 2.49, 95% confidence interval [CI] = 1.29-4.83) and OS (HR = 3.22, 95% CI = 1.41-7.35).
CONCLUSIONS: For patients with NSCLC harbouring non-resistant uncommon EGFR mutations, afatinib use as the first-line therapy may provide a better treatment response but no survival benefit, as compared with gefitinib or erlotinib. Brain metastasis at diagnosis is associated with a poor prognosis.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  EGFR; First-line therapy; Non-small cell lung cancer; Tyrosine kinase inhibitors; Uncommon mutations

Mesh:

Substances:

Year:  2019        PMID: 31425965     DOI: 10.1016/j.ejca.2019.06.025

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  5 in total

1.  Clinical Benefit of Tyrosine Kinase Inhibitors in Advanced Lung Cancer with EGFR-G719A and Other Uncommon EGFR Mutations.

Authors:  Kartik Sehgal; Deepa Rangachari; Paul A VanderLaan; Susumu S Kobayashi; Daniel B Costa
Journal:  Oncologist       Date:  2020-10-06

2.  Comparison of epidermal growth factor receptor tyrosine kinase inhibitors for patients with lung adenocarcinoma harboring different epidermal growth factor receptor mutation types.

Authors:  Sojung Park; Sung Yong Lee; Dojin Kim; Yun Su Sim; Jeong-Seon Ryu; Juwhan Choi; Su Hwan Lee; Yon Ju Ryu; Jin Hwa Lee; Jung Hyun Chang
Journal:  BMC Cancer       Date:  2021-01-11       Impact factor: 4.430

3.  The Predictive Values of Advanced Non-Small Cell Lung Cancer Patients Harboring Uncommon EGFR Mutations-The Mutation Patterns, Use of Different Generations of EGFR-TKIs, and Concurrent Genetic Alterations.

Authors:  Jiarong Tan; Chengping Hu; Pengbo Deng; Rongjun Wan; Liming Cao; Min Li; Huaping Yang; Qihua Gu; Jian An; Juan Jiang
Journal:  Front Oncol       Date:  2021-08-26       Impact factor: 6.244

4.  Clinical outcomes of advanced non-small cell lung cancer patients harboring distinct subtypes of EGFR mutations and receiving first-line tyrosine kinase inhibitors: brain metastasis and de novo T790M matters.

Authors:  Ya Zeng; Tiantian Guo; Yue Zhou; Yang Zhao; Li Chu; Xiao Chu; Xi Yang; Jianjiao Ni; Zhengfei Zhu
Journal:  BMC Cancer       Date:  2022-02-21       Impact factor: 4.430

5.  Risk Stratification Using a Novel Nomogram for 2190 EGFR-Mutant NSCLC Patients Receiving the First or Second Generation EGFR-TKI.

Authors:  John Wen-Cheng Chang; Chen-Yang Huang; Yueh-Fu Fang; Ching-Fu Chang; Cheng-Ta Yang; Chih-Hsi Scott Kuo; Ping-Chih Hsu; Chiao-En Wu
Journal:  Cancers (Basel)       Date:  2022-02-15       Impact factor: 6.639

  5 in total

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