MISC

2007年4月

Predictive factors associated with prolonged survival in patients with advanced non-small-cell lung cancer (NSCLC) treated with gefitinib

BRITISH JOURNAL OF CANCER
  • M. Satouchi
  • ,
  • S. Negoro
  • ,
  • Y. Funada
  • ,
  • Y. Urata
  • ,
  • T. Shimada
  • ,
  • S. Yoshimura
  • ,
  • Y. Kotani
  • ,
  • T. Sakuma
  • ,
  • H. Watanabe
  • ,
  • S. Adachi
  • ,
  • Y. Takada
  • ,
  • Y. Yatabe
  • ,
  • T. Mitsudomi

96
8
開始ページ
1191
終了ページ
1196
記述言語
英語
掲載種別
DOI
10.1038/sj.bjc.6603710
出版者・発行元
NATURE PUBLISHING GROUP

This study aimed to identify predictive factors associated with prognostic benefits of gefitinib. A total of 221 Japanese patients who received gefitinib (250 mg day (-1)) were examined retrospectively and potential predictive factors analysed. Overall response rate (ORR) was 24.4% and median survival time (MST) was 8.0 months. In a log-rank test, survival was significantly better in females, patients with adenocarcinoma, never-smokers, favourable performance status (PS) and patients with epidermal growth factor receptor (EGFR) mutation. The lower the smoking exposure (Brinkman Index (BI) cigarettes per day x years smoked), the better the MST (BI 0: 14.5 months, BI < 500: 9.5 months, BI 500 to < 1000: 6.9 months, BI >= 1000: 4.0 months). Positive-EGFR mutation status and PS 0-1 were independent predictors of favourable prognosis by multivariate analysis. Prognosis was significantly different according to EGFR mutation status (with the same smoking status), but not according to smoking status (with the same EGFR mutation status). EGFR mutation status is the most important independent predictor of survival benefit with gefitinib treatment. Although differences in prognosis were observed according to relative smoking status and smoking exposure, the results suggested that smoking is not a direct predictor of prognosis, yet is a surrogate marker of EGFR mutation status.

Web of Science ® 被引用回数 : 39

リンク情報
DOI
https://doi.org/10.1038/sj.bjc.6603710
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000245831800007&DestApp=WOS_CPL
ID情報
  • DOI : 10.1038/sj.bjc.6603710
  • ISSN : 0007-0920
  • Web of Science ID : WOS:000245831800007

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