Literature DB >> 19650855

Usefulness of cumulative smoking dose for identifying the EGFR mutation and patients with non-small-cell lung cancer for gefitinib treatment.

Masaru Jida1, Shinichi Toyooka, Tetsuya Mitsudomi, Toshimi Takano, Keitaro Matsuo, Katsuyuki Hotta, Kazunori Tsukuda, Takafumi Kubo, Hiromasa Yamamoto, Masaomi Yamane, Takahiro Oto, Yoshifumi Sano, Katsuyuki Kiura, Yasushi Yatabe, Yuichiro Ohe, Hiroshi Date, Shinichiro Miyoshi.   

Abstract

We examined the diagnostic accuracy of the cumulative smoking dose for identifying the epidermal growth factor receptor (EGFR) exon 19 deletion and L858R mutation among Japanese patients with non-small-cell lung cancer (NSCLC). EGFR mutations in exon 19 and exon 21 were determined in 1001 NSCLC patients. A receiver-operating characteristic (ROC) curve methodology was applied to estimate the diagnostic accuracy. EGFR mutations were detected in 314 patients (31.4%). A cumulative smoking dose of less than 13 pack-years (PY) was the optimal cut-off point for predicting a positive EGFR mutation status, producing a balance between the sensitivity (73.5%) and the specificity (77%). The area under the ROC curve was 0.77, indicating that the smoking dose had a moderate diagnostic accuracy. The median survival time or the median progression-free survival time of patients who had smoked less than 13 pack-years (PY) were 18.6 and 6.3 months, respectively, while those of patients with equal to or more than 13 PY were 9.6 and 2.4 months, respectively. The overall survival (OS) and progression-free survival (PFS) rates were significantly different between the two groups (OS: hazard ratio [HR] = 0.64, 95% confidence interval [CI] = 0.51-0.80, P = 0.0001) (PFS: HR = 0.58, 95% CI = 0.47-0.71, P < 0.0001). Our study indicated that the smoking dose predicted EGFR mutations with a moderate diagnostic accuracy. Thus, patients who have smoked less than 13 PY might be candidates for gefitinib treatment when EGFR mutation status cannot be determined.

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Year:  2009        PMID: 19650855     DOI: 10.1111/j.1349-7006.2009.01273.x

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


  6 in total

1.  Methodological comparison of the allele refractory mutation system and direct sequencing for detecting EGFR mutations in NSCLC, and the association of EGFR mutations with patient characteristics.

Authors:  Minmin Wu; Xiaodong Pan; Yaya Xu; Siying Wu; Xiuling Wu; Bicheng Chen
Journal:  Oncol Lett       Date:  2018-05-22       Impact factor: 2.967

Review 2.  Refining the treatment of advanced nonsmall cell lung cancer.

Authors:  Shin Ogita; Antoinette J Wozniak
Journal:  Lung Cancer (Auckl)       Date:  2010-05-03

Review 3.  Molecular oncology of lung cancer.

Authors:  Shinichi Toyooka; Tetsuya Mitsudomi; Junichi Soh; Keiju Aokage; Masaomi Yamane; Takahiro Oto; Katsuyuki Kiura; Shinichiro Miyoshi
Journal:  Gen Thorac Cardiovasc Surg       Date:  2011-08-18

4.  Effects of cigarette smoking on metabolic activity of lung cancer on baseline 18F-FDG PET/CT.

Authors:  Maoqing Jiang; Xiuyu Guo; Xiaohui Zhang; Qiaoling Gao; Weiqi Mei; Jingfeng Zhang; Jianjun Zheng
Journal:  PeerJ       Date:  2022-04-25       Impact factor: 3.061

5.  A large-scale cross-sectional study of ALK rearrangements and EGFR mutations in non-small-cell lung cancer in Chinese Han population.

Authors:  Shaodong Hong; Wenfeng Fang; Zhihuang Hu; Ting Zhou; Yue Yan; Tao Qin; Yanna Tang; Yuxiang Ma; Yuanyuan Zhao; Cong Xue; Yan Huang; Hongyun Zhao; Li Zhang
Journal:  Sci Rep       Date:  2014-12-01       Impact factor: 4.379

6.  Baseline, Trend, and Normalization of Carcinoembryonic Antigen as Prognostic Factors in Epidermal Growth Factor Receptor-Mutant Nonsmall Cell Lung Cancer Patients Treated With First-Line Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors.

Authors:  Yu-Mu Chen; Chien-Hao Lai; Huang-Chih Chang; Tung-Ying Chao; Chia-Cheng Tseng; Wen-Feng Fang; Chin-Chou Wang; Yu-Hsiu Chung; Kuo-Tung Huang; Hung-Cheng Chen; Ya-Chun Chang; Meng-Chih Lin
Journal:  Medicine (Baltimore)       Date:  2015-12       Impact factor: 1.817

  6 in total

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