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Original Article

Gefitinib or Carboplatin–Paclitaxel in Pulmonary Adenocarcinoma

Tony S. Mok, M.D., Yi-Long Wu, M.D., F.A.C.S., Sumitra Thongprasert, M.D., Chih-Hsin Yang, M.D., Ph.D., Da-Tong Chu, M.D., Nagahiro Saijo, M.D., Ph.D., Patrapim Sunpaweravong, M.D., Baohui Han, M.D., Benjamin Margono, M.D., Ph.D., F.C.C.P., Yukito Ichinose, M.D., Yutaka Nishiwaki, M.D., Ph.D., Yuichiro Ohe, M.D., Ph.D., Jin-Ji Yang, M.D., Busyamas Chewaskulyong, M.D., Haiyi Jiang, M.D., Emma L. Duffield, M.Sc., Claire L. Watkins, M.Sc., Alison A. Armour, F.R.C.R., and Masahiro Fukuoka, M.D., Ph.D.

N Engl J Med 2009; 361:947-957September 3, 2009

Abstract

Background

Previous, uncontrolled studies have suggested that first-line treatment with gefitinib would be efficacious in selected patients with non–small-cell lung cancer.

Methods

In this phase 3, open-label study, we randomly assigned previously untreated patients in East Asia who had advanced pulmonary adenocarcinoma and who were nonsmokers or former light smokers to receive gefitinib (250 mg per day) (609 patients) or carboplatin (at a dose calculated to produce an area under the curve of 5 or 6 mg per milliliter per minute) plus paclitaxel (200 mg per square meter of body-surface area) (608 patients). The primary end point was progression-free survival.

Results

The 12-month rates of progression-free survival were 24.9% with gefitinib and 6.7% with carboplatin–paclitaxel. The study met its primary objective of showing the noninferiority of gefitinib and also showed its superiority, as compared with carboplatin–paclitaxel, with respect to progression-free survival in the intention-to-treat population (hazard ratio for progression or death, 0.74; 95% confidence interval [CI], 0.65 to 0.85; P<0.001). In the subgroup of 261 patients who were positive for the epidermal growth factor receptor gene (EGFR) mutation, progression-free survival was significantly longer among those who received gefitinib than among those who received carboplatin–paclitaxel (hazard ratio for progression or death, 0.48; 95% CI, 0.36 to 0.64; P<0.001), whereas in the subgroup of 176 patients who were negative for the mutation, progression-free survival was significantly longer among those who received carboplatin–paclitaxel (hazard ratio for progression or death with gefitinib, 2.85; 95% CI, 2.05 to 3.98; P<0.001). The most common adverse events were rash or acne (in 66.2% of patients) and diarrhea (46.6%) in the gefitinib group and neurotoxic effects (69.9%), neutropenia (67.1%), and alopecia (58.4%) in the carboplatin–paclitaxel group.

Conclusions

Gefitinib is superior to carboplatin–paclitaxel as an initial treatment for pulmonary adenocarcinoma among nonsmokers or former light smokers in East Asia. The presence in the tumor of a mutation of the EGFR gene is a strong predictor of a better outcome with gefitinib. (ClinicalTrials.gov number, NCT00322452.)

Media in This Article

Figure 1Screening, Group Assignment, and Inclusion in Analyses.
Figure 2Kaplan–Meier Curves for Progression-free Survival.
Article

Inhibitors of the epidermal growth factor receptor (EGFR) tyrosine kinase have clinical efficacy, as compared with the best supportive care1 or standard chemotherapy,2 when given as second-line or third-line therapy for advanced non–small-cell lung cancer. Treatment with EGFR tyrosine kinase inhibitors is most effective in women, patients who have never smoked, patients with pulmonary adenocarcinomas, and patients of Asian origin. In these populations, such treatment is associated with favorable rates of objective responses, progression-free survival, and overall survival.1,3,4 These populations also have a relatively high incidence of somatic mutations in the region of the EGFR gene that encodes the tyrosine kinase domain.5,6 Studies have shown that in patients with pulmonary adenocarcinoma who had a base-pair deletion at exon 19 (del746_A750) or a point mutation at exon 21 (L858R), the tumors were highly responsive to EGFR tyrosine kinase inhibitors,7-9 and subsequent studies of first-line therapy with these agents showed objective response rates of 54.8 to 81.6% and progression-free survival of 9.7 to 13.3 months among patients with these mutations.10-12

On the basis of these and other studies,1,4,13-16 we hypothesized that in a selected population, first-line therapy with an oral EGFR tyrosine kinase inhibitor would be at least as effective as chemotherapy with carboplatin–paclitaxel. In this study, we compared the efficacy, safety, and adverse-event profile of gefitinib with those of carboplatin–paclitaxel when these drugs were used as first-line treatment in nonsmokers or former light smokers in East Asia who had adenocarcinoma of the lung. We also examined the role of an EGFR mutation as a predicator of the efficacy of gefitinib or carboplatin–paclitaxel.

Methods

Study Design and Patients

The First Line Iressa versus Carboplatin/Paclitaxel in Asia (Iressa Pan-Asia Study [IPASS]) study was a phase 3, multicenter, randomized, open-label, parallel-group study comparing gefitinib (Iressa, AstraZeneca) with carboplatin (Paraplatin, Bristol-Myers Squibb) plus paclitaxel (Taxol, Bristol-Myers Squibb) as first-line treatment in clinically selected patients in East Asia who had advanced non–small-cell lung cancer. The primary end point was progression-free survival. Secondary end points included overall survival (an early analysis, since follow-up is ongoing), the objective response rate, quality of life, reduction in symptoms, safety, and the adverse-event profile. Evaluations of efficacy according to the baseline biomarker status of EGFR were planned exploratory objectives.

Patients were eligible for inclusion in the study if they were 18 years of age or older, had histologically or cytologically confirmed stage IIIB or IV non–small-cell lung cancer with histologic features of adenocarcinoma (including bronchoalveolar carcinoma), were nonsmokers (defined as patients who had smoked <100 cigarettes in their lifetime) or former light smokers (those who had stopped smoking at least 15 years previously and had a total of ≤10 pack-years of smoking), and had had no previous chemotherapy or biologic or immunologic therapy. Other eligibility criteria are described in the Supplementary Appendix, available with the full text of this article at NEJM.org.

The principal investigators and the members of the steering committee (see the Appendix at the end of this article) designed the study in collaboration with the sponsor (AstraZeneca) and supervised the conduct of the trial. The sponsor collected and analyzed the data. The lead academic author had unrestricted access to the data and vouches for the validity and completeness of the results of the trial (see the Supplementary Appendix for further details). All patients provided written informed consent; separate consent was provided for the assessment of EGFR biomarkers. An independent ethics committee at each participating institution approved the study protocol. The study was conducted in accordance with the Declaration of Helsinki, the International Conference on Harmonization Guidelines for Good Clinical Practice, applicable regulatory requirements, and AstraZeneca's policy on bioethics. One planned interim analysis was performed by an independent statistician and reviewed by an independent data and safety monitoring committee (see the Supplementary Appendix).

Study Treatment

Patients were randomly assigned, in a 1:1 ratio, to receive gefitinib (250 mg per day, administered orally) or paclitaxel (200 mg per square meter of body-surface area, administered intravenously over a 3-hour period on the first day of the cycle) followed immediately by carboplatin (at a dose calculated to produce an area under the concentration–time curve of 5.0 or 6.0 mg per milliliter per minute, administered intravenously over a period of 15 to 60 minutes) in cycles of once every 3 weeks for up to 6 cycles. Randomization was performed with the use of dynamic balancing17 with respect to performance status, as assessed by the World Health Organization (WHO) performance scale measuring activity (0 or 1, or 2 on a scale of 0 to 4, with lower numbers indicating a higher degree of activity); smoking status (nonsmoker or former light smoker); sex; and center. Treatment continued until progression of the disease, development of unacceptable toxic effects, a request by the patient or physician to discontinue treatment, serious noncompliance with the protocol, or completion of six chemotherapy cycles. Among patients assigned to gefitinib therapy, those whose tumor progressed were offered the opportunity to switch to treatment with carboplatin–paclitaxel; however, if the patient declined or was not a good candidate for that treatment, he or she could receive another approved therapy of the physician's choice. Among patients who were receiving carboplatin–paclitaxel, further therapy after progression of the disease was at the physician's discretion.

Assessments

Progression-free survival was assessed from the date of randomization to the earliest sign of disease progression, as determined by means of the Response Evaluation Criteria in Solid Tumors (RECIST),18 or death from any cause. Overall survival was assessed from the date of randomization until death from any cause. Tumor response was assessed every 6 weeks until disease progression. Quality of life was assessed with the use of the Functional Assessment of Cancer Therapy–Lung (FACT–L) questionnaire (in which scores range from 0 to 136, with higher scores indicating better quality of life) and the Trial Outcome Index (TOI, which is the sum of the physical well-being, functional well-being, and lung-cancer subscale [LCS] scores of FACT-L; scores range from 0 to 84, with higher scores indicating better quality of life), and symptoms were assessed with the use of the LCS score (scores range from 0 to 28, with higher scores indicating fewer symptoms). The FACT-L questionnaire19 was administered at randomization and at week 1, once every 3 weeks until day 127, once every 6 weeks from day 128 until disease progression, and when the study drug was discontinued. Clinically relevant improvement was predefined as an improvement of six points or more in FACT-L and TOI scores or an improvement of two points or more in LCS scores, with the higher scores maintained for at least 21 days.20 Safety and tolerability were assessed according to National Cancer Institute Common Terminology Criteria for Adverse Events, version 3.0. Tumor samples from patients who consented to have biomarkers assessed were analyzed at two central laboratories to determine biomarker status, with EGFR mutation status the first priority. Patients were considered to be positive for the EGFR mutation if 1 of 29 EGFR mutations was detected with the use of the amplification refractory mutation system (ARMS) and the DxS EGFR29 mutation-detection kit.21,22

Statistical Analysis

The primary end point (progression-free survival) was analyzed with the use of a Cox proportional-hazards model in the intention-to-treat population (all randomly assigned patients) to assess the noninferiority of gefitinib as compared with carboplatin–paclitaxel, with the WHO performance status (0 or 1, or 2), smoking status (nonsmoker or former light smoker), and sex as covariates. For noninferiority to be demonstrated, the 95% confidence interval for the hazard ratio had to lie entirely below the predefined noninferiority limit of 1.2. We estimated that with a total of 944 progression events, the study would have 80% power to demonstrate noninferiority if the treatments were truly equal, with a two-sided 5% probability of an erroneous demonstration of noninferiority. If the 95% confidence interval for the hazard ratio was also below 1, the P value would be less than 0.05 and superiority could be concluded from the same analysis without statistical penalty (closed test procedure).23 Supportive secondary analyses are described in the Supplementary Appendix. Planned subgroup analyses were performed to compare progression-free survival between treatments in groups defined according to WHO performance status (0 or 1, or 2), smoking status (nonsmoker or former light smoker), sex, age at randomization (<65 years or ≥65 years), disease stage at screening (stage IIIB or IV), and presence or absence of biomarkers. Tests to determine interactions of treatment with covariates were used to identify predictive factors by assessing whether there was a significant difference in the treatment effect for progression-free survival (hazard ratio for progression or death) between subgroups.

Overall survival was analyzed with the use of methods that were similar to those used for the analysis of progression-free survival. The results of an early analysis are presented; follow-up with respect to overall survival is ongoing. The objective response rate (in the intention-to-treat population) and quality of life and rates of symptom reduction (among all patients with a baseline and at least one post-baseline quality-of-life assessment that could be evaluated) were assessed with the use of a logistic-regression model with the same covariates as those considered for progression-free survival to calculate odds ratios and 95% confidence intervals. Planned subgroup analyses of the objective response rate were performed with the use of methods that were similar to those used for the analysis of progression-free survival.

Adverse events were summarized for all patients who received at least one dose of the assigned study treatment. The incidence rates of 10 specified safety events (5 that were possibly associated with each study treatment) were compared with the use of Fisher's exact test; adjustment for multiple comparisons was performed with the use of the method of Westfall and Young.24

Results

Patients and Treatment

From March 2006 through October 2007, a total of 1217 patients from 87 centers in Hong Kong, elsewhere in China, Indonesia, Japan, Malaysia, the Philippines, Singapore, Taiwan, and Thailand were randomly assigned to a study group (Figure 1Figure 1Screening, Group Assignment, and Inclusion in Analyses.). The two groups were well balanced with respect to demographic and baseline characteristics (Table 1Table 1Demographic and Baseline Characteristics in the Intention-to-Treat Population.). The mean duration of treatment was 6.4 months (median, 5.6; range, 0.1 to 22.8) for gefitinib and 3.4 months (median, 4.1; range, 0.7 to 5.8) for carboplatin–paclitaxel. The median number of treatment cycles in the carboplatin–paclitaxel group was six. At the cutoff date for collection of data (April 14, 2008), a total of 24.5% of the patients in the gefitinib group were continuing to receive the study treatment; all patients in the carboplatin–paclitaxel group had discontinued the drugs. After discontinuation of the assigned treatment at any time during the study, 38.9% of the patients in the gefitinib group received carboplatin–paclitaxel, and 39.5% of the patients in the carboplatin–paclitaxel group received an EGFR tyrosine kinase inhibitor; 10.5% of the patients in the gefitinib group and 14.0% of those in the carboplatin–paclitaxel group received other anticancer treatments.

Efficacy

The median follow-up period for the analysis of progression-free survival was 5.6 months. The median progression-free survival was 5.7 months in the gefitinib group and 5.8 months in the carboplatin–paclitaxel group, approximately coinciding with crossing of the Kaplan–Meier curves. The 12-month rates of progression-free survival were 24.9% with gefitinib and 6.7% with carboplatin–paclitaxel; a total of 950 patients had progression of disease. The study met its primary objective of demonstrating noninferiority and showed the superiority of gefitinib as compared with carboplatin–paclitaxel for progression-free survival (hazard ratio for progression or death, 0.74; 95% confidence interval [CI], 0.65 to 0.85; P<0.001). The probability that a patient would be free of disease progression was greater with carboplatin–paclitaxel in the first 6 months and greater with gefitinib in the following 16 months (Figure 2AFigure 2Kaplan–Meier Curves for Progression-free Survival.). Progression-free survival was longer in the gefitinib group than in the carboplatin–paclitaxel group in all clinical subgroups; the only clinical factor that affected progression-free survival was age (<65 years: hazard ratio, 0.81; 95% CI, 0.70 to 0.95; P=0.007; ≥65 years: hazard ratio, 0.58; 95% CI, 0.45 to 0.76; P<0.001; P=0.03 for the interaction of treatment with age) (Fig. 1 in the Supplementary Appendix).

A total of 1038 patients (85.3%) gave their consent for biomarker analyses, and 683 patients (56.1%) provided samples. EGFR mutation data for 437 patients (35.9%) could be evaluated. Patients with a tissue sample that could be evaluated had demographic characteristics that were similar to those of the overall population (Table 1 in the Supplementary Appendix). Of the 437 samples, 261 (59.7%) were positive for a mutation. Of these 261 samples, 140 (53.6%) had exon 19 deletions, 111 (42.5%) had a mutation at exon 21 (L858R), 11 (4.2%) had a mutation at exon 20 (T790M), and 10 (3.8%) had other mutations; 11 patients had multiple mutations. The proportions of mutations were well balanced between the two groups (Table 2 in the Supplementary Appendix).

There was a significant interaction between treatment and EGFR mutation with respect to progression-free survival (P<0.001). Progression-free survival was significantly longer among patients receiving gefitinib than among those receiving carboplatin–paclitaxel in the mutation-positive subgroup (hazard ratio for progression, 0.48; 95% CI, 0.36 to 0.64; P<0.001) (Figure 2B) and significantly shorter among patients receiving gefitinib than among those receiving carboplatin–paclitaxel in the mutation-negative subgroup (hazard ratio, 2.85; 95% CI, 2.05 to 3.98; P<0.001) (Figure 2C). Results in the subgroup with unknown EGFR-mutation status (hazard ratio with gefitinib, 0.68; 95% CI, 0.58 to 0.81; P<0.001) (Figure 2D) were similar to those for the overall population.

The objective response rate in the overall population was significantly higher with gefitinib than with carboplatin–paclitaxel (43.0% vs. 32.2%; odds ratio, 1.59; 95% CI, 1.25 to 2.01; P<0.001) (Table 3 in the Supplementary Appendix) and numerically or statistically greater with gefitinib in all clinical subgroups. The objective response rate was 71.2% with gefitinib versus 47.3% with carboplatin–paclitaxel in the mutation-positive subgroup (P<0.001) and 1.1% (one patient) versus 23.5%, respectively, in the mutation-negative subgroup (P=0.001) (Table 3 in the Supplementary Appendix).

Overall survival in this early analysis (450 patients [37.0%] died, with follow-up ongoing) was similar between the two groups in the overall population (hazard ratio for death in the gefitinib group, 0.91; 95% CI, 0.76 to 1.10) (Fig. 2A in the Supplementary Appendix). Median survival was 18.6 months among patients receiving gefitinib and 17.3 months among patients receiving carboplatin–paclitaxel. After observing the results with respect to progression-free survival, we performed an analysis of overall survival according to mutation status, although this analysis included only 81 deaths in the mutation-positive subgroup and 94 in the mutation-negative subgroup. The hazard ratios with gefitinib were 0.78 (95% CI, 0.50 to 1.20) in the mutation-positive subgroup and 1.38 (95% CI, 0.92 to 2.09) in the mutation-negative subgroup (Fig. 2B and 2C in the Supplementary Appendix).

Significantly more patients in the gefitinib group than in the carboplatin–paclitaxel group had a clinically relevant improvement in quality of life, as assessed by scores on the FACT-L questionnaire (odds ratio, 1.34; 95% CI, 1.06 to 1.69; P=0.01) and by scores on the TOI (odds ratio, 1.78; 95% CI, 1.40 to 2.26; P<0.001) (Figure 3Figure 3Rates of Improvement in Scores for Quality for Life and Symptoms.). Rates of reduction in symptoms, as assessed on the basis of the LCS scores, were similar between patients who received gefitinib and those who received carboplatin–paclitaxel (odds ratio with gefitinib, 1.13; 95% CI, 0.90 to 1.42; P=0.30) (Figure 3). Results according to mutation status are provided in Fig. 3 in the Supplementary Appendix.

Safety and Adverse-Event Profile

Table 2Table 2Adverse Events. lists the most common adverse events. Gefitinib, as compared with carboplatin–paclitaxel, was associated with a lower rate of grade 3 or 4 adverse events, as defined according to the Common Terminology Criteria for Adverse Events (28.7% vs. 61.0%), a lower rate of adverse events leading to discontinuation of the drug (6.9% vs. 13.6%), and a lower rate of dose modification due to toxic effects (16.1% vs. 35.2% for carboplatin and 37.5% for paclitaxel). Adverse events leading to death occurred in 3.8% of the patients treated with gefitinib and in 2.7% of the patients treated with paclitaxel–carboplatin; serious adverse events, including death, occurred in 16.3% and 15.6% of patients in the two groups, respectively; and serious adverse events leading to hospitalization occurred in 13.8% and 13.1% of patients in the two groups, respectively. The incidences of rash or acne, diarrhea, and elevated liver aminotransferase levels were significantly higher with gefitinib than with carboplatin–paclitaxel, whereas the incidences of neurotoxic effects, nausea and vomiting, and hematologic toxic effects were significantly higher with carboplatin–paclitaxel (Table 4 in the Supplementary Appendix). Interstitial-lung-disease events (i.e., the acute respiratory distress syndrome, interstitial lung disease, pneumonitis, or radiation pneumonitis) occurred in 16 patients treated with gefitinib (2.6%), 3 of whom died, and in 8 patients treated with carboplatin-paclitaxel (1.4%), 1 of whom died.

Discussion

Platinum-based combination chemotherapy, such as carboplatin–paclitaxel, is the standard first-line therapy for advanced non–small-cell lung cancer.25,26 The results of this trial showed that gefitinib by itself is superior to carboplatin–paclitaxel in a selected population of East Asian patients.

As initial treatment of non–small-cell lung cancer in East Asian nonsmokers or former light smokers with pulmonary adenocarcinoma, gefitinib, as compared with carboplatin–paclitaxel, prolonged progression-free survival, increased the objective response rate, reduced toxic effects, and improved quality of life. The overall benefit was driven primarily by the subgroup of patients with EGFR mutations; in this subgroup, patients treated with gefitinib, as compared with those treated with carboplatin–paclitaxel, had a remarkably high objective response rate (71.2%) and prolonged progression-free survival (hazard ratio for progression or death, 0.48; 95% CI, 0.36 to 0.64; P<0.001). In the subgroup of patients without EGFR mutations, the objective response rate with gefitinib was 1.1%, and progression-free survival favored chemotherapy (hazard ratio with gefitinib, 2.85; 95% CI, 2.05 to 3.98; P<0.001). These contrasting outcomes probably explain the change over time in treatment effect for progression-free survival in the overall population. The initial superiority of carboplatin–paclitaxel was attributed to the benefit that the EGFR-mutation–negative subgroup received from chemotherapy but not from gefitinib, whereas prolonged progression-free survival in the EGFR-mutation–positive subgroup explained the subsequent improvement favoring gefitinib. Crossing of the Kaplan–Meier curves did not occur in the mutation-positive subgroup or the mutation-negative subgroup.

Lynch et al. found specific EGFR mutations that correlated with tumor response to gefitinib.7 In the Iressa Survival Evaluation in Lung Cancer trial (ISEL; ClinicalTrials.gov number, NCT00242801), the objective response rate for gefitinib-treated patients was 37.5% among the 16 patients with a tumor bearing an EGFR mutation as compared with 2.6% among the 116 patients without a mutation.27 Our trial confirms the predictive value of EGFR mutations for the responsiveness of pulmonary adenocarcinoma to gefitinib as compared with carboplatin–paclitaxel. The difference in the rates of objective response between gefitinib-treated patients with an EGFR mutation and those without an EGFR mutation (71.2% vs. 1.1%) was remarkable. The rate of an objective response to first-line gefitinib in our study is similar to rates reported in other studies in which patients were selected according to EGFR-mutation status, including patients in Western countries.10,12,28 Sequist et al. screened patients (who were selected on the basis of clinical characteristics) for an EGFR mutation and reported an objective response rate of 54.8% among 31 gefitinib-treated patients who were positive for an EGFR mutation, only 2 of whom were Asian.12 However, in our study, objective response rates among patients without an EGFR mutation were lower than expected, given the results of previous studies.16,29 One possible explanation is our use of ARMS, a more sensitive technique for detecting EGFR mutations.21,22 When Zhu et al. used ARMS to reanalyze 148 samples that had previously been classified as negative for an EGFR mutation, they found 11 new samples with exon 19 mutations.30 Another possible explanation is that studies that showed higher response rates among mutation-negative patients were not always conducted in previously untreated patients. Mutation-negative status that is determined in a diagnostic sample obtained at the time of the initial presentation may change during subsequent tumor progression or during the course of chemotherapy.31

Our findings suggest that, whenever possible, EGFR-mutation status should be determined before the initial treatment of pulmonary adenocarcinoma. Ethnic origin, smoking status, and histologic findings help to identify patients who have a high likelihood of having an EGFR mutation; in this study, 59.7% of the tumors in a clinically selected population had EGFR mutations, as compared with 12.1% and 14.8% in the unselected populations in the ISEL and Iressa in NSCLC Trial Evaluating Response and Survival versus Taxotere (INTEREST; NCT00076388) studies, respectively.2,27

The efficacy of gefitinib seen in this study was coupled with lower incidences of alopecia, nausea, vomiting, neurotoxic symptoms, and myelosuppression than those seen with carboplatin–paclitaxel. Among 607 patients who received gefitinib and who were included in the safety analysis, interstitial-lung-disease events developed in only 16 (2.6%), 3 of whom (0.5%) died.

In summary, this study shows that first-line therapy with gefitinib as compared with carboplatin–paclitaxel prolongs progression-free survival, increases the objective response rate, and improves quality of life among clinically selected patients with non–small-cell lung cancer. The presence of an EGFR mutation was a robust predictor of improved progression-free survival with gefitinib, as compared with carboplatin–paclitaxel, and of the benefit of gefitinib with respect to the objective response rate, indicating that patients in whom an EGFR mutation has been identified will benefit most from first-line therapy with gefitinib.

Supported by AstraZeneca.

Dr. Mok reports receiving consulting fees from Roche, AstraZeneca, Pfizer, and Eli Lilly, lecture fees from Roche, AstraZeneca, and Eli Lilly, and a research grant to the Chinese Lung Cancer Research Foundation from AstraZeneca, Hong Kong; Dr. Wu, receiving consulting fees from AstraZeneca, Roche, Eli Lilly, and Pfizer and lecture fees from AstraZeneca, Roche, and Eli Lilly; Dr. Thongprasert, receiving consulting fees from AstraZeneca, Pfizer, and Sanofi-Aventis, lecture fees from AstraZeneca, Eli Lilly, and Sanofi-Aventis, and grant support from AstraZeneca, Sanofi-Aventis, and Pfizer; Dr. C.-H. Yang, receiving consulting fees and lecture fees from AstraZeneca; Dr. Saijo, owning equity in Takeda and receiving grant support from AstraZeneca, Chugai, Takeda, and Taiho; Dr. Ichinose, receiving lecture fees from Chugai, Kyowa Hakko, AstraZeneca, and Sanofi-Aventis; Dr. Ohe, receiving lecture fees from AstraZeneca, Eli Lilly, Chugai, Bristol-Myers Squibb, and Sanofi-Aventis; Dr. Chewaskulyong, receiving lecture fees from AstraZeneca and Roche; Dr. Jiang, Miss Duffield, Miss Watkins, and Dr. Armour, being salaried employees of AstraZeneca and owning equity in AstraZeneca; and Dr. Fukuoka, receiving lecture fees from AstraZeneca and Chugai. No other potential conflict of interest relevant to this article was reported.

This article (10.1056/NEJMoa0810699) was published on August 19, 2009, and was last updated on September 4, 2009, at NEJM.org.

We thank the patients and investigators for their participation in this study and Annette Smith, Ph.D., from Complete Medical Communications, who provided editing support funded by AstraZeneca.

Source Information

From the State Key Laboratory in Oncology in South China, Sir YK Pao Centre for Cancer, Department of Clinical Oncology, Chinese University of Hong Kong, Hong Kong (T.S.M.), Guangdong General Hospital, Guangzhou (Y-L.W., J.-J.Y.), Cancer Hospital, Chinese Academy of Medical Sciences, Beijing (D.-T.C.), and Shanghai Chest Hospital, Shanghai (B.H.) — all in China; Maharaj Nakorn Chiang Mai Hospital, Chiang Mai University, Chiang Mai (S.T., B.C.), and Prince of Songkla University, Songkla (P.S.) — both in Thailand; National Taiwan University Hospital, Taipei, Taiwan (C.-H.Y.); National Cancer Center Hospital East, Chiba (N.S., Y.N.), National Kyushu Cancer Center, Fukuoka (Y.I.), National Cancer Center Hospital, Tokyo (Y.O.), AstraZeneca, Osaka (H.J.), and Kinki University School of Medicine, Osaka (M.F.) — all in Japan; Dr. Soetomo Hospital, Surabaya, Indonesia (B.M.); and AstraZeneca, Macclesfield, United Kingdom (E.L.D., C.L.W., A.A.A.).

Address reprint requests to Dr. Mok at the Department of Clinical Oncology, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, HKSAR, China, or at .

Appendix

Members of the First Line Iressa versus Carboplatin/Paclitaxel in Asia (Iressa Pan-Asia Study [IPASS]) Study Organization were as follows: Steering Committee: T.S. Mok, M. Fukuoka, S. Thongprasert, Y.-L. Wu, C.-H. Yang, D.-T. Chu, N. Saijo, H. Jiang, C.L. Watkins, A.A. Armour (K.F. To, pathologist, advisor to steering committee). Independent Data and Safety Monitoring Committee: A. Chang, K. Eguchi, M. Buyse, S. Zuckerman. International Coordinating Investigators: T.S. Mok, M. Fukuoka. Study Personnel: S. Rigby, study coordinator and study delivery leader; H. Jiang, study physician; P. Magill, study physician; E.L. Duffield, biostatistician. Investigators: China — C. Bojun, X. Cai, X. Cai, Q. Chen, X. Chen, Y. Chen, Z. Chen, W. Cheng, X. Chongrui, D. Chu, T. Chu, J. Dai, Z. Ding, J. Duan, M. Fan, Y. Fan, J. Feng, X. Fu, M. Gao, A. Gu, J. Gu, Z. Guan, B. Han, A. Hao, Z. He, W. Hong, X. Hong, M. Hou, C. Huang, J. Huang, P. Huang, Y. Huang, Y. Huang, Y. Huang, W. Huimin, L. Jia, H. Jian, G. Jiang, L. Jiang, S. Jiao, B. Jin, M. Jin, A. Li, C. Li, H. Li, L. Li, M. Li, R. Li, T. Li, Z. Li, H. Liang, M. Liao, R. Liao, J. Liu, X. Liu, Z. Liu, F. Lou, G. Lou, S. Lu, L. Mei, Q.-Y. Meng, J. Ni, M. Oiu, H. Pan, J. Pei, L. Peng, J. Qi, M. Qi, J. Qian, H. Qiu, J. Shen, Q. Song, Y. Song, S. Sun, X. Tan, B. Wang, B. Wang, H. Wang, H. Wang, H. Wang, K. Wang, L. Wang, L. Wang, M. Wang, W. Wang, X. Wang, Y. Wang, B. Wu, Y. Wu, C. Xie, R. Xie, Y. Xin, L. Xu, Z. Xu, B. Yan, J. Yang, L. Yang, Z. Yi, S. Yu, J. Zhang, J. Zhang, L. Zhang, L. Zhang, W. Zhang, X. Zhang, Y. Zhang, Y. Zhang, Y. Zhang, X. Zhao, Y. Zhao, W. Zhen, Z. Zhen, Y. Zheng, H. Zhong, R. Zhong, C. Zhou, Q. Zhou, T. Zhou, J. Zhu, Y. Zhu, Z. Zhu, W. Zhuang, L. Zou; Hong Kong (China) — S.K. Au, L. Chan, S. Cheung, K.-C. Chow, S.M. Chow, D. Chua, C.K. Kwan, K.C. Lam, T.C. Lam, D. Lee, R. Liu, S.H. Lo, P. Lui, T.S. Mok, P. Poon, C. Tang, K.F. To, Y.C. Tse, Y. Tung, H. Wong, M. Wong, S. Yau; Indonesia — J. Aphridasari, B. Boediwarsono, S. Endarjo, A. Febriani, H. Harijadi, A. Hudoyo, A. Kosasih, J. Kurnianda, B. Kusnan, H. Lunardhi, B. Margono, A. Mudigno, N. Nurhadi, A. Rima, K. Soedarko, C. Soeharti, J. Sugiri, M. Suprapto, E. Surjanto, E. Syahruddin, I. Tedjasukmana, P. Wibowo, K. Widayati, P. Widjanarko, L. Wulandari; Japan — Y. Akashi, K. Aoe, N. Aono, G. Asai, K. Asai, K. Asami, S. Atagi, T. Baba, K. Chikamori, H. Daga, S. Doi, M. Ebisawa, M. Endo, T. Endo, T. Fujieda, M. Fujii, S. Fujita, D. Fujiwara, S. Fukumoto, M. Fukuoka, H. Fukushima, C. Fukuyama, S. Fukuyama, S. Fukuyama, S. Fumita, K. Goto, E. Hagiwara, K. Hanioka, F. Hara, D. Harada, M. Harada, T. Harada, Y. Harada, A. Hata, Y. Hattori, M. Hayashi, S. Hibino, Y. Higashi, T. Hirano, N. Hirata, T. Hirata, T. Hishima, H. Honda, T. Horai, A. Horiike, Y. Hosomi, E. Ichihara, S. Ichihara, Y. Ichikawa, Y. Ichimaru, S. Ichinose, Y. Ichinose, S. Igawa, M. Iguchi, S. Ihara, K. Ijichi, T. Ikeda, Y. Ikezawa, Y. Imabashi, H. Imadate, Y. Imahashi, N. Imai, Y. Imai, F. Imamura, M. Inaba, T. Inoue, Y. Inoue, M. Ishida, G. Ishii, Y. Ishikawa, H. Ito, M. Ito, T. Ito, T. Iwasa, K. Iyama, S. Kajikawa, N. Kajiwara, M. Kakihana, T. Kakugawa, T. Kameya, S. Kanda, H. Kaneda, K. Kasahara, H. Kashihara, T. Kashii, K. Kashiwabara, N. Katakami, H. Katayama, N. Katayama, T. Kato, S. Kawabata, Y. Kawada, T. Kawaguchi, M. Kawahara, O. Kawai, Y. Kawai, H. Kenmotsu, Y. Kida, H. Kimura, T. Kimura, T. Kimura, E. Kin, A. Kinoshita, D. Kishino, C. Kitagawa, M. Kitaichi, A. Kitamura, K. Kitamura, M. Kitaoka, K. Kiura, H. Kiyota, S. Kobayashi, T. Kodama, T. Koga, Y. Kogure, Y. Koh, H. Kohrogi, S. Komatsu, T. Kometani, K. Komuta, A. Kubo, T. Kubo, Y. Kubo, K. Kubota, M. Kubota, K. Kudo, S. Kudo, H. Kunitoh, T. Kurata, Y. Kusunoki, S. Kyo, T. Maeda, T. Marutsuka, M. Maruyama, J. Matsubayashi, K. Matsumoto, M. Matsumoto, Y. Matsumoto, Y. Matsuno, H. Minato, S. Mitsuoka, K. Miyajima, E. Miyauchi, M. Miyazaki, T. Miyazaki, K. Mori, R. Morinaga, S. Moritani, H. Murakami, M. Murakami, T. Murakami, K. Murase, T. Nagano, S. Nagase, Y. Nagatsuka, Y. Naito, K. Nakagawa, R. Nakajima, Y. Nakamura, Y. Nakanishi, S. Nanjo, M. Nakao, M. Nara, R. Naya, S. Negoro, S. Niho, D. Niino, R. Nishihira, H. Nishimori, R. Nishimura, T. Nishimura, K. Nishino, M. Nishio, Y. Nishiwaki, K. Nishiyama, N. Nogami, H. Nokihara, M. Nomura, N. Nomura, K. Nozaki, N. Ochi, Y. Ogata, A. Ogino, T. Ogura, C. Ohbayashi, Y. Ohe, T. Ohira, H. Ohmatsu, S. Ohta, T. Ohta, F. Ohyanagi, K. Okabe, T. Okabe, I. Okamoto, K. Okamoto, S. Okamoto, T. Okamoto, W. Okamoto, T. Okamura, Y. Okano, M. Oki, K. Okishio, M. Okuno, H. Omiya, M. Omori, A. Ono, M. Osawa, A. Osoegawa, K. Otsuka, A. Oya, I. Oze, S. Saeki, N. Saijo, T. Saijo, T. Saishouji, E. Saito, H. Saito, H. Saji, H. Saka, E. Sasaki, J. Sasaki, T. Sato, T. Sato, M. Satouchi, Y. Segawa, A. Sekine, I. Sekine, R. Seo, T. Seto, M. Shibuya, T. Shimada, T. Shimokata, T. Shimokawa, T. Shinkai, T. Shinohara, H. Shirane, Y. Sogo, A. Sugawara, K. Sugi, M. Sugishita, N. Suko, M. Sumitani, T. Syukuya, M. Tabata, K. Tachibana, R. Tachikawa, H. Tada, A. Tagawa, T. Tagawa, M. Takada, S. Takada, H. Takahashi, K. Takahashi, S. Takahashi, T. Takahashi, K. Takayama, H. Takeda, K. Takeda, M. Takeda, Y. Takeshima, Y. Takeuchi, K. Takezawa, N. Takigawa, A. Tamiya, D. Tamura, T. Tamura, T. Tamura, C. Tanai, K. Tanaka, T. Tashiro, N. Teramoto, M. Terashima, Y. Tochino, S. Tokunaga, Y. Tomita, M. Tsuboi, M. Tsujimoto, K. Tsujino, Y. Tsukamoto, H. Tsukuda, M. Tsuno, J. Tsurutani, K. Tsuta, A. Tsuya, J. Uchida, O. Uchida, J. Uchino, S. Ueda, K. Uehira, K. Ueno, H. Ueoka, S. Umemura, K. Urata, S. Ushijima, J. Usuda, K. Wakasa, K. Waseda, K. Watanabe, H. Wataya, K. Yamada, I. Yamamoto, N. Yamamoto, N. Yamamoto, R. Yamamoto, Y. Yamane, K. Yamashiro, K. Yamazaki, H. Yanai, M. Yasugi, T. Yazawa, K. Yoh, T. Yoshida, M. Yoshimura, S. Yoshimura, T. Yoshinaga, K. Yumine, Y. Zen; Malaysia — A. Abdul Muttalif, N. Abdullah, H. Ahmad Zaharah, A. Awang Abdullah, J. Azizi Bin Abdul Rahman, I. Beevi, I. Hyder Ali, C.N. Choy, K.T. Chua, J. Dharmaratnam, S. Govindaraju, F.N. Lau, C.H. Leow, C.K. Liam, Y.K. Pang, S. Poosparajah, B. Rajendran, R. Raman, K. Ratnavelu, H. Sahat, V. Selvaraju, K. Sivaraman Kannan, C.K. Tiong, A. Zaatar; Philippines — A. Abelardo, F. Agustin, V. Butalid, P. Caguioa, V. Chan, G. Cornelio, D. Dizon, A. Faundo, K. Gutierez, J. Holaysan, M. Madrid, A. Malilong, A. Ong-Cornel, P. Pua, B. Ramos, E. Tan, D. Tudtud, N. Uy, A. Villalon, K. Villanueva, E. Villegas; Singapore — S.S. Leong, D. Lim, E.H. Tan, Y.O. Tan, H.K. Tan, C.K. Toh; Taiwan — T.-Y. Chao, H.-C. Chen, K.-Y. Chen, P.-J. Chen, Y.-C. Chen, Y.-M. Chen, C.-Y. Chung, C.-C. Ho, C.-L. Ho, M.-L. Ho, R.-K. Hsieh, C. Hsu, W.-Y. Kao, H.-P. Kuo, C.-H. Lai, H.-C. Lin, J.-T. Lin, M.-C. Lin, Y.-L. Lin, Z.-Z. Lin, M.-J. Peng, R.-P. Perng, J.-Y. Shih, C.-C. Wang, C.-H. Wang, J.-L. Wang, Y.-H. Wang, C.-L. Wu, C.-H. Yang, P.-C. Yang, C.-T. Yu, C.-J. Yu; Thailand — C. Akewanlop, V. Ariyaprakai, T. Ativitavas, T. Chalermchai, C. Chantranuwat, C. Charoentum, B. Chewasukulyong, T. Dudsadeeprasert, S. Geater, M. Huntrakoon, S. Juthong, N. Keerativitayanant, N. Kiatikajornthada, C. Kularbkaew, S. Laohavanij, N. Lertprasertsuke, J. Maneechavakajorn, W. Mitarnum, A. Phunmanee, P. Punyarit, M. Rochanawutanon, K. Seetalarom, E. Sirachainan, A. Sookprasert, N. Soparatanapaisarn, V. Srimuninnimit, V. Sriuranpong, P. Sunpaweravong, C. Suthipintawong, H. Suwanrusme, S. Suwanvecho, K. Thammakumpee, S. Thongprasert, V. Viriyachaiyo, N. Voravud, S. Wongbunnate.

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