吉非替尼
医学
克拉斯
内科学
肺癌
肿瘤科
表皮生长因子受体
危险系数
荧光原位杂交
拷贝数变化
临床试验
表皮生长因子受体抑制剂
癌症
癌症研究
基因
生物
置信区间
生物化学
结直肠癌
基因组
染色体
作者
Fred R. Hirsch,Marileila Varella‐Garcia,Paul A. Bunn,Wilbur A. Franklin,Rafał Dziadziuszko,Nick Thatcher,Alex Y. Chang,Purvish M. Parikh,José Rodrigues Pereira,Tudor–Eliade Ciuleanu,Joachim von Pawel,Claire Watkins,Angela V. Flannery,Gillian Ellison,Emma Donald,Lucy Knight,Dinah V. Parums,Nicholas Botwood,Brian R. Holloway
标识
DOI:10.1200/jco.2006.06.3958
摘要
Purpose The phase III Iressa Survival Evaluation in Lung Cancer (ISEL) trial compared gefitinib with placebo in 1,692 patients with refractory advanced non–small-cell lung cancer. We analyzed ISEL tumor biopsy samples to examine relationships between biomarkers and clinical outcome after gefitinib treatment in a placebo-controlled setting. Methods Biomarkers included epidermal growth factor receptor (EGFR) gene copy number by fluorescence in situ hybridization (n = 370); EGFR (n = 379) and phosphorylated Akt (p-Akt) protein expression (n = 382) by immunohistochemistry; and mutations in EGFR (n = 215), KRAS (n = 152), and BRAF (n = 118). Results High EGFR gene copy number was a predictor of a gefitinib-related effect on survival (hazard ratio [HR], 0.61 for high copy number and HR, 1.16 for low copy number; comparison of high v low copy number HR, P = .045). EGFR protein expression was also related to clinical outcome (HR for positive, 0.77; HR for negative, 1.57; comparison of high v low protein expression HR, P = .049). Patients with EGFR mutations had higher response rates than patients without EGFR mutations (37.5% v 2.6%); there were insufficient data for survival analysis. No relationship was observed between p-Akt protein expression and survival outcome, and the limited amount of data collected for KRAS and BRAF mutations prevented any meaningful evaluation of clinical outcomes in relation to these mutations. Conclusion EGFR gene copy number was a predictor of clinical benefit from gefitinib in ISEL. Additional studies are warranted to assess these biomarkers fully for the identification of patients most likely to benefit from gefitinib treatment.
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