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Apr, 2007

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
  • Display all

Volume
96
Number
8
First page
1191
Last page
1196
Language
English
Publishing type
DOI
10.1038/sj.bjc.6603710
Publisher
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.

Link information
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 information
  • DOI : 10.1038/sj.bjc.6603710
  • ISSN : 0007-0920
  • Web of Science ID : WOS:000245831800007

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