martes, 5 de julio de 2011

Biomarker Analyses and Final Overall Survival Resu... [J Clin Oncol. 2011] - PubMed result



Biomarker Analyses and Final Overall Survival Resu... [J Clin Oncol. 2011] - PubMed result: "J Clin Oncol. 2011 Jun 13. [Epub ahead of print]
Biomarker Analyses and Final Overall Survival Results From a Phase III, Randomized, Open-Label, First-Line Study of Gefitinib Versus Carboplatin/Paclitaxel in Clinically Selected Patients With Advanced Non-Small-Cell Lung Cancer in Asia (IPASS).
Fukuoka M, Wu YL, Thongprasert S, Sunpaweravong P, Leong SS, Sriuranpong V, Chao TY, Nakagawa K, Chu DT, Saijo N, Duffield EL, Rukazenkov Y, Speake G, Jiang H, Armour AA, To KF, Yang JC, Mok TS.

Source
Kinki University School of Medicine; AstraZeneca, Osaka, Japan; Guangdong General Hospital, Guangzhou; Cancer Hospital, Chinese Academy of Medical Sciences, Beijing; State Key Laboratory in Oncology in South China, Li Ka Shing Institute of Health Science and the Sir Y.K. Pao Center for Cancer, The Chinese University of Hong Kong, Hong Kong, China; Maharaj Nakorn ChiangMai Hospital, ChiangMai University, ChiangMai; Prince of Songkla University, Songkla; Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; National Cancer Centre Singapore, Singapore; Tri-Service General Hospital; National Taiwan University Hospital and College of Medicine, Taipei, Taiwan; and AstraZeneca, Macclesfield, United Kingdom.



Abstract

PURPOSE The results of the Iressa Pan-Asia Study (IPASS), which compared gefitinib and carboplatin/paclitaxel in previously untreated never-smokers and light ex-smokers with advanced pulmonary adenocarcinoma were published previously. This report presents overall survival (OS) and efficacy according to epidermal growth factor receptor (EGFR) biomarker status. PATIENTS AND METHODS In all, 1,217 patients were randomly assigned. Biomarkers analyzed were EGFR mutation (amplification mutation refractory system; 437 patients evaluable), EGFR gene copy number (fluorescent in situ hybridization; 406 patients evaluable), and EGFR protein expression (immunohistochemistry; 365 patients evaluable). OS analysis was performed at 78% maturity. A Cox proportional hazards model was used to assess biomarker status by randomly assigned treatment interactions for progression-free survival (PFS) and OS. Results OS (954 deaths) was similar for gefitinib and carboplatin/paclitaxel with no significant difference between treatments overall (hazard ratio [HR], 0.90; 95% CI, 0.79 to 1.02; P = .109) or in EGFR mutation-positive (HR, 1.00; 95% CI, 0.76 to 1.33; P = .990) or EGFR mutation-negative (HR, 1.18; 95% CI, 0.86 to 1.63; P = .309; treatment by EGFR mutation interaction P = .480) subgroups. A high proportion (64.3%) of EGFR mutation-positive patients randomly assigned to carboplatin/paclitaxel received subsequent EGFR tyrosine kinase inhibitors. PFS was significantly longer with gefitinib for patients whose tumors had both high EGFR gene copy number and EGFR mutation (HR, 0.48; 95% CI, 0.34 to 0.67) but significantly shorter when high EGFR gene copy number was not accompanied by EGFR mutation (HR, 3.85; 95% CI, 2.09 to 7.09). CONCLUSION EGFR mutations are the strongest predictive biomarker for PFS and tumor response to first-line gefitinib versus carboplatin/paclitaxel. The predictive value of EGFR gene copy number was driven by coexisting EGFR mutation (post hoc analysis). Treatment-related differences observed for PFS in the EGFR mutation-positive subgroup were not apparent for OS. OS results were likely confounded by the high proportion of patients crossing over to the alternative treatment.

PMID: 21670455
[PubMed - as supplied by publisher]

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