Literature DB >> 24760387

Prognostic and predictive role of epidermal growth factor receptor mutation in recurrent pulmonary adenocarcinoma after curative resection.

Jae Hyun Jeon1, Chang Hyun Kang2, Hye-seon Kim1, Yong Won Seong3, In Kyu Park1, Young Tae Kim1.   

Abstract

OBJECTIVES: Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) treatment prolongs the progression-free survival of patients with advanced non-small-cell lung cancer harbouring EGFR mutations. This study aimed to evaluate the prognostic factors influencing survival after recurrence, and the effectiveness of EGFR-TKIs in patients with recurrent pulmonary adenocarcinoma after curative resection.
METHODS: EGFR mutations were prospectively evaluated in 594 patients who underwent curative surgical resection for pulmonary adenocarcinoma. Among them, 138 patients who had postoperative recurrent disease were enrolled in the study. Potential prognostic factors for post-recurrence survival (PRS) were evaluated, and predictive factors of responsiveness to EGFR-TKIs were also analysed.
RESULTS: Among the 138 patients who had postoperative recurrent disease, EGFR mutations were identified in 73 (52.9%) patients. In multivariable analysis, never-smoking status [hazard ratio (HR), 0.522; P = 0.012], adjuvant radiotherapy (HR, 1.995; P = 0.016), disease-free interval of less than 1 year from initial resection to recurrence (HR, 2.382; P = 0.001), surgical treatment for recurrence (HR, 0.346; P = 0.002) and EGFR mutation (HR, 0.552; P = 0.013) were independent prognostic factors for PRS. Among patients treated with EGFR-TKI, EGFR mutation status was the only predictor of response to EGFR-TKI (P < 0.001), and patients with EGFR mutation showed better PRS (3- and 5-year survival rates after recurrence, 68.8 and 41.1%, respectively) than those without EGFR mutations (3- and 5-year survival rates after recurrence, 39.1 and 15.7%, respectively; P = 0.017).
CONCLUSIONS: Our study demonstrated that EGFR mutation is an independent prognostic factor for PRS. Considering that EGFR mutations were the only independent predictors for response to EGFR-TKIs, selecting patients for EGFR-TKI therapy according to EGFR mutation status may lead to a better prognosis in patients with recurrent pulmonary adenocarcinoma.
© The Author 2014. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

Entities:  

Keywords:  Adenocarcinoma of lung; Biological; Epidermal growth factor; Mutation; Receptor; Recurrence; Thoracic surgery; Tumour markers

Mesh:

Substances:

Year:  2014        PMID: 24760387     DOI: 10.1093/ejcts/ezu177

Source DB:  PubMed          Journal:  Eur J Cardiothorac Surg        ISSN: 1010-7940            Impact factor:   4.191


  16 in total

1.  Biomarkers in the era of individualized medicine.

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Journal:  J Thorac Dis       Date:  2017-06       Impact factor: 2.895

2.  Characteristics and timing of recurrence during postoperative surveillance after curative resection for lung adenocarcinoma.

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Journal:  Surg Today       Date:  2017-05-04       Impact factor: 2.549

3.  Efficacy of Platinum-Based Adjuvant Chemotherapy on Prognosis of Pathological Stage II/III Lung Adenocarcinoma based on EGFR Mutation Status: A Propensity Score Matching Analysis.

Authors:  Tetsuya Isaka; Hiroyuki Ito; Haruhiko Nakayama; Tomoyuki Yokose; Kayoko Katayama; Kouzo Yamada; Munetaka Masuda
Journal:  Mol Diagn Ther       Date:  2019-10       Impact factor: 4.074

4.  Epidermal growth factor receptor mutations in lung adenocarcinoma: associations between dual-energy spectral CT measurements and histologic results.

Authors:  Guojin Zhang; Junlin Zhou; Yuntai Cao; Jing Zhang; Zhiyong Zhao; Wenjuan Zhang
Journal:  J Cancer Res Clin Oncol       Date:  2020-09-26       Impact factor: 4.553

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6.  The Association of EGFR Mutations with Stage at Diagnosis in Lung Adenocarcinomas.

Authors:  Jaeyoung Cho; Sun Mi Choi; Jinwoo Lee; Chang-Hoon Lee; Sang-Min Lee; Jae-Joon Yim; Doo Hyun Chung; Chul-Gyu Yoo; Young Whan Kim; Sung Koo Han; Young Sik Park
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Review 7.  EGFR mutations as a prognostic and predictive marker in non-small-cell lung cancer.

Authors:  Shu Fang; Zhehai Wang
Journal:  Drug Des Devel Ther       Date:  2014-09-26       Impact factor: 4.162

8.  Prognostic value analysis of mutational and clinicopathological factors in non-small cell lung cancer.

Authors:  Chenguang Li; Ligang Hao; Yue Li; Shengguang Wang; Hui Chen; Lianmin Zhang; Bin Ke; Yuesong Yin; Haijin Suo; Bingsheng Sun; Bin Zhang; Changli Wang
Journal:  PLoS One       Date:  2014-09-08       Impact factor: 3.240

9.  Differences among lesions with exon 19, exon 21 EGFR mutations and wild types in surgically resected non-small cell lung cancer.

Authors:  Ying Jin; Ming Chen; Xinmin Yu
Journal:  Sci Rep       Date:  2016-08-16       Impact factor: 4.379

10.  Clinical analysis of sixty-four patients with T1aN2M0 stage non-small cell lung cancer who had undergone resection.

Authors:  Jian Xiong; Rui Wang; Yihua Sun; Haiquan Chen
Journal:  Thorac Cancer       Date:  2015-10-06       Impact factor: 3.500

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