Literature DB >> 23313171

Tumor burden is predictive of survival in patients with non-small-cell lung cancer and with activating epidermal growth factor receptor mutations who receive gefitinib.

Jin Hyun Park1, Tae Min Kim, Bhumsuk Keam, Yoon Kyung Jeon, Se-Hoon Lee, Dong-Wan Kim, Doo Hyun Chung, Young Tae Kim, Young Whan Kim, Dae Seog Heo.   

Abstract

BACKGROUND: Although activating epidermal growth factor receptor (EGFR) mutations are excellent predictors of gefitinib outcome in non-small-cell lung cancer (NSCLC), most patients become resistant to gefitinib. Despite our knowledge of the molecular basis of acquired resistance, clinical predictors have not been well elucidated. This study was undertaken to evaluate predictors of clinical outcome in patients with NSCLC and with EGFR mutations treated with gefitinib. PATIENTS AND METHODS: A total of 170 patients with NSCLC and with EGFR mutations received gefitinib as a first-line (n = 50) and a second-line or more (n = 120) treatment at Seoul National University Hospital. Treatment outcomes were compared between groups based on clinicopathologic factors, such as treatment line, metastatic site, and mutation subtype.
RESULTS: Survival outcomes were similar between first-line and second-line or greater gefitinib treatment (overall response rate, 2P = .832; progression-free survival [PFS], 2P = .373; and overall survival [OS], 2P = .290). When the number of metastatic sites was at least 3, significantly reduced survival was observed (median PFS 8.5 vs. 14.0 months, 2P < .001; median OS 21.4 vs. 25.6 months, 2P = .002). In addition, the presence of at least 3 organs with metastases was an independent predictor of PFS (hazard ratio [HR] 1.97 [95% CI, 1.37-2.85]; 2P < .001) and OS (HR 2.00 [95% CI, 1.18-3.39]; 2P = .010). Patients who failed to respond to gefitinib within 6 months of treatment had more lymph node metastases and more sites of metastasis than those who responded later.
CONCLUSIONS: Tumor burden, expressed as the number of metastatic sites, is predictive of inferior survival in patients with NSCLC and with activating EGFR mutations who are treated with gefitinib.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23313171     DOI: 10.1016/j.cllc.2012.10.007

Source DB:  PubMed          Journal:  Clin Lung Cancer        ISSN: 1525-7304            Impact factor:   4.785


  28 in total

1.  Features and prognostic impact of distant metastasis in patients with stage IV lung adenocarcinoma harboring EGFR mutations: importance of bone metastasis.

Authors:  Daichi Fujimoto; Hiroyuki Ueda; Ryoko Shimizu; Ryoji Kato; Takehiro Otoshi; Takahisa Kawamura; Koji Tamai; Yumi Shibata; Takeshi Matsumoto; Kazuma Nagata; Kyoko Otsuka; Atsushi Nakagawa; Kojiro Otsuka; Nobuyuki Katakami; Keisuke Tomii
Journal:  Clin Exp Metastasis       Date:  2014-03-30       Impact factor: 5.150

2.  Factors that predict progression-free survival in Chinese lung adenocarcinoma patients treated with epidermal growth factor receptor tyrosine kinase inhibitors.

Authors:  Shaohua Cui; Liwen Xiong; Yuqing Lou; Huangping Shi; Aiqin Gu; Yizhuo Zhao; Tianqing Chu; Huimin Wang; Wei Zhang; Lili Dong; Liyan Jiang
Journal:  J Thorac Dis       Date:  2016-01       Impact factor: 2.895

3.  Real-World Data on Prognostic Factors for Overall Survival in EGFR Mutation-Positive Advanced Non-Small Cell Lung Cancer Patients Treated with First-Line Gefitinib.

Authors:  Zong-Han Yao; Wei-Yu Liao; Chao-Chi Ho; Kuan-Yu Chen; Jin-Yuan Shih; Jin-Shing Chen; Zhong-Zhe Lin; Chia-Chi Lin; James Chih-Hsin Yang; Chong-Jen Yu
Journal:  Oncologist       Date:  2017-05-15

4.  The effect of gefitinib in patients with postoperative recurrent non-small cell lung cancer harboring mutations of the epidermal growth factor receptor.

Authors:  Ryo Ko; Hirotsugu Kenmotsu; Yasushi Hisamatsu; Hiroaki Akamatsu; Shota Omori; Kazuhisa Nakashima; Takuya Oyakawa; Kazushige Wakuda; Takehito Shukuya; Akira Ono; Hisao Imai; Tetsuhiko Taira; Tateaki Naito; Haruyasu Murakami; Keita Mori; Masahiro Endo; Yasuhisa Ohde; Kazuhisa Takahashi; Toshiaki Takahashi
Journal:  Int J Clin Oncol       Date:  2014-10-25       Impact factor: 3.402

5.  Five-Year Survival in EGFR-Mutant Metastatic Lung Adenocarcinoma Treated with EGFR-TKIs.

Authors:  Jessica J Lin; Stephanie Cardarella; Christine A Lydon; Suzanne E Dahlberg; David M Jackman; Pasi A Jänne; Bruce E Johnson
Journal:  J Thorac Oncol       Date:  2015-12-25       Impact factor: 15.609

6.  Dynamic monitoring of EGFR mutations in circulating cell-free DNA for EGFR-mutant metastatic patients with lung cancer: Early detection of drug resistance and prognostic significance.

Authors:  Jianjiao Ni; Linqian Weng; Yi Liu; Zhao Sun; Chunmei Bai; Yingyi Wang
Journal:  Oncol Lett       Date:  2017-04-11       Impact factor: 2.967

7.  Current status of chemotherapy use and clinical outcome in octogenarians with advanced non-small cell lung cancer.

Authors:  Sung Hoon Sim; Yu Jung Kim; Se Hyun Kim; Bhumsuk Keam; Tae Min Kim; Se-Hoon Lee; Dong-Wan Kim; Dae Seog Heo; Jong Seok Lee
Journal:  J Cancer Res Clin Oncol       Date:  2014-11-20       Impact factor: 4.553

8.  Impact of number versus location of metastases on survival in stage IV M1b non-small cell lung cancer.

Authors:  Amanda Jane Williams Gibson; Haocheng Li; Adrijana D'Silva; Roxana A Tudor; Anifat A Elegbede; Shannon Mary Otsuka; D Gwyn Bebb; Winson Y Cheung
Journal:  Med Oncol       Date:  2018-08-02       Impact factor: 3.064

9.  Development of metastatic brain disease involves progression through lung metastases in EGFR mutated non-small cell lung cancer.

Authors:  Gino In; Jeremy Mason; Sonia Lin; Paul K Newton; Peter Kuhn; Jorge Nieva
Journal:  Converg Sci Phys Oncol       Date:  2017-07-13

10.  Impact of metastatic status on the prognosis of EGFR mutation-positive non-small cell lung cancer patients treated with first-generation EGFR-tyrosine kinase inhibitors.

Authors:  Yoshihiko Taniguchi; Akihiro Tamiya; Kenji Nakahama; Yoko Naoki; Masaki Kanazu; Naoki Omachi; Kyoichi Okishio; Takahiko Kasai; Shinji Atagi
Journal:  Oncol Lett       Date:  2017-10-03       Impact factor: 2.967

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