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Journal of Clinical Oncology, Vol 26, No 26 (September 10), 2008: pp. 4253-4260 © 2008 American Society of Clinical Oncology. DOI: 10.1200/JCO.2007.15.0672 Gefitinib Versus Vinorelbine in Chemotherapy-Naïve Elderly Patients With Advanced Non–Small-Cell Lung Cancer (INVITE): A Randomized, Phase II Study
From the Department of Medical Oncology, Perugia Hospital, Perugia; and Instituto Clinico Humanitas Istituto di Recovero e Cura a Carattere Scientifico, Rozzano, Italy; Third Faculty of Medicine, Charles University, Faculty Hospital Bulovka and Postgraduate Medical Institute, Prague; and Charles University Medical Faculty, Plzen, Czech Republic; Hospital Grobhansdorf, Groβhansdorf, Germany; Birmingham Heartlands Hospital; Queen Elizabeth Hospital, Birmingham; Cambridge University Hospitals National Health Service Foundation Trust, Cambridge; and AstraZeneca, Macclesfield, Cheshire, United Kingdom; and University of Colorado Cancer Center, Aurora, CO Corresponding author: Lucio Crinò, MD, Department of Medical Oncology, Perugia Hospital, S Andrea delle Fratte, 06156 Perugia, Italy; e-mail: lcrino{at}unipg.it
Purpose This phase II, open-label, parallel-group study compared gefitinib with vinorelbine in chemotherapy-naïve elderly patients with advanced non–small-cell lung cancer (NSCLC).
Methods Chemotherapy-naïve patients (age Results Patients were randomly assigned to gefitinib (n = 97) or to vinorelbine (n = 99). Hazard ratios (HR; gefitinib v vinorelbine) were 1.19 (95% CI, 0.85 to 1.65) for PFS and 0.98 (95% CI, 0.66 to 1.47) for OS. ORR and disease control rates were 3.1% (95% CI, 0.6 to 8.8) and 43.3% (for gefitinib) and 5.1% (95% CI, 1.7 to 11.4) and 53.5% (for vinorelbine), respectively. Overall QOL improvement and PSI rates were 24.3% and 36.6% (for gefitinib) and 10.9% and 31.0% (for vinorelbine), respectively. In the 54 patients who were EGFR FISH-positive, HRs were 3.13 (95% CI, 1.45 to 6.76) for PFS and 2.88 (95% CI, 1.21 to 6.83) for OS. There were fewer treatment-related grade 3 to 5 adverse events with gefitinib (12.8%) than with vinorelbine (41.7%). Conclusion There was no statistical difference between gefitinib and vinorelbine in efficacy in chemotherapy-naïve, unselected elderly patients with advanced NSCLC, but there was better tolerability with gefitinib. Individuals who were EGFR FISH-positive benefited more from vinorelbine than from gefitinib; this unexpected finding requires further study.
Non–small-cell lung cancer (NSCLC) accounts for 80% of all lung cancers,1 and approximately 30% to 40%1,2 of patients diagnosed are aged 70 years or older. The median age of patients with newly diagnosed NSCLC approaches 68 years.3 Although platinum-based chemotherapy can be administered safely to selected patients older than 70 years without relevant comorbidity and good performance status,4 elderly patients are less likely than younger patients to receive standard two-drug combinations,5 and monotherapy with vinorelbine or gemcitabine often is offered in clinical practice to individuals with advanced disease.5 Such therapy produces modest results, with response rates of 14% to 18% and median overall survival of 7 to 8 months reported for vinorelbine in chemotherapy-naïve patients,5,6 may cause hematologic and neurologic adverse effects (AEs), and may require intravenous administration.5 In recent years, new agents that interfere with a specific target involved in cancer proliferation have been developed, including small molecules that inhibit the tyrosine kinase activity of the epidermal growth factor receptor (EGFR-TKI). The oral EGFR-TKI gefitinib (ZD1839, Iressa, AstraZeneca, Macclesfield, United Kingdom) demonstrated promising activity and manageable toxicity in phase II studies.7,8 In these studies, which were conducted in patients previously exposed to chemotherapy and without any clinical or biologic selection, gefitinib produced a response rate of up to 18%, a median progression-free survival (PFS) of approximately 3 months, and a median survival of approximately 7 months.7,8 These results seemed similar to those produced with the single agent vinorelbine,5,6 which suggests that an oral drug could represent a reasonable alternative to intravenous chemotherapy in elderly patients who have advanced NSCLC. Recently, clinical and biologic predictors have been identified that may provide an indication of EGFR-TKI sensitivity.9-12 A history of never smoking, female sex, adenocarcinoma histology, and Asian ethnicity are considered the most relevant clinical predictors, whereas the presence of activating EGFR gene mutations or increased EGFR gene copy number may be the most relevant biologic factors associated with improved response and survival.9,11 The results obtained in unselected patients and the absence of any biologic predictor of TKI sensitivity at the time of study design led us to design this randomized, phase II study to explore gefitinib sensitivity in untreated elderly patients who have NSCLC and who were not selected on the basis of any biologic or clinical characteristics.
Study Design and Procedures This phase II, randomized, open-label, multicenter, parallel-group study—Iressa in NSCLC versus vinorelbine investigation in the elderly (INVITE; D791AC00001, NCT00256711 [ClinicalTrials.gov] )—assessed the activity of gefitinib or vinorelbine in chemotherapy-naïve elderly patients who had locally advanced or metastatic NSCLC. Patients were randomly assigned in a 1:1 manner to receive either gefitinib (250 mg/d orally) or vinorelbine (30 mg/m2 infusion on days 1 and 8 of a 21-day cycle). Patients who were randomly assigned to gefitinib could continue treatment until clinical or objective progression, unacceptable toxicity, or patient withdrawal. Patients with confirmed objective progression who were considered by the patient and the investigator to derive clinical benefit could continue treatment with gefitinib. Patients who were randomly assigned to vinorelbine could continue treatment for up to a maximum of six cycles or until clinical or objective progression, unacceptable toxicity, or patient withdrawal. At the point of disease progression, further therapy was selected at the discretion of the patient and investigator. Dose interruptions of gefitinib of up to 14 days were allowed. The dose of vinorelbine could be adjusted according to prescribing guidelines. The primary end point was PFS, which was defined as the time from random assignment to the earliest occurrence of objective disease progression or death from any cause. Secondary end points were overall survival (OS; defined as the time to death), objective response rate (ORR), quality of life (QOL), pulmonary symptom improvement (PSI), and tolerability. Objective tumor response was assessed every 6 weeks until radiologic evidence of progression was noted with the Response Evaluation Criteria in Solid Tumors (RECIST) criteria.13 Patients who discontinued for reasons other than disease progression continued to have objective tumor assessments every 6 weeks. QOL was assessed by using the Functional Assessment of Cancer Therapy-Lung (FACT-L) questionnaire,14,15 which was completed pretreatment, once every 3 weeks until week 18, every 6 weeks thereafter, on discontinuation, and 3 weeks after discontinuation. FACT-L questionnaires were completed at home before clinic visits. The Trial Outcome Index (TOI) is the sum of the physical well-being, functional well-being, and Lung Cancer Subscale (LCS) scores of the FACT-L. The LCS of the FACT-L was completed as part of the FACT-L questionnaire and was completed every week until treatment discontinuation. Improvement in pulmonary symptoms was assessed from the four pulmonary items of the seven-item LCS, a validated instrument with a minimal important difference of two points.16,17 PSI was defined as an improvement of at least two points that was maintained for at least 21 days in at least one moderate or severe pulmonary item of the LCS. AEs were assessed at each visit (every 3 weeks) according to the National Cancer Institute Common Toxicity Criteria (NCI-CTC; version 3.0). Exploratory end points included association of EGFR gene copy number (assessed by fluorescent in situ hybridization [FISH]9), EGFR protein expression (by using the DAKO EGFR pharmDx kit [DAKO, Glostrup, Denmark]), and EGFR tyrosine kinase domain mutations with gefitinib and vinorelbine activity.
Patients All patients provided written, informed consent, and approval for the study was obtained from independent ethics committees. The study was conducted in accordance with the ethical principles that have their origin in the Declaration of Helsinki and that are consistent with the International Conference on Harmonisation/Good Clinical Practice and applicable regulatory requirements and with the AstraZeneca policy on bioethics.
Statistical Analysis The statistical analyses for PFS and OS were performed by using a proportional hazards model that included the following prognostic factors: sex (male v female), WHO performance status (0 to 1 v 2), histology (adenocarcinoma v other), smoking history (ever v never), and stage (locally advanced v metastatic). The HR (gefitinib v vinorelbine) was estimated with its associated CI (90% and 95% CIs for PFS; 95% CI for OS) and P value. An HR less than 1 indicated a favorable outcome for gefitinib compared with vinorelbine. The PFS rates at 4 and 6 months were obtained from the Kaplan-Meier technique. Median, 6-month, and 1-year survivals were estimated for each treatment group. These analyses were performed on the intent-to-treat population of all randomly assigned patients. ORR was compared between geftinib and vinorelbine by using a logistic regression model and the odds ratio with its associated 95% CI. The number and percentage of patients with a best objective response of complete response, partial response, or stable disease were summarized to provide an estimate of the disease control rate. PSI and QOL improvement rates were analyzed by using a logistic regression model. The odds ratio and its associated 95% CI were estimated for the populations who were assessable for PSI (ie, patients with at least one LCS pulmonary item with a baseline score of 0 or 1 and a postbaseline assessment) and assessable for QOL (ie, patients with a baseline and a postbaseline QOL assessment), respectively. Gefitinib v vinorelbine HRs and 95% CIs for PFS and OS were estimated for the FISH-positive and FISH-negative subgroups. Efficacy comparisons between FISH subgroups were also carried out for gefitinib and vinorelbine separately.
From July 2004 to December 2005, 196 patients were enrolled at 41 centers in 10 countries (Fig 1). The study continued until 151 progression events had occurred; the data cutoff date was February 24, 2006. Demographic and baseline characteristics are listed in Table 1. Most patients were male (77% and 74% in the gefitinib and vinorelbine groups, respectively) and had a smoking history (82% and 89% in the gefitinib and vinorelbine groups, respectively). Overall, 35% of patients in the gefitinib group and 46% of patients in the vinorelbine group had adenocarcinoma (including bronchoalveolar carcinoma). As might be expected in a small study, there were some small imbalances between the treatment groups in terms of demographic and other patient characteristics, but these were considered unlikely to have affected the interpretation of the results (particularly as the efficacy analyses adjusted for these imbalances and other key baseline characteristics, such as sex, histology, smoking history, disease status, ethnicity, and performance status).
Second-Line Therapy Of the 97 patients randomly assigned to gefitinib, 19 patients received chemotherapy, five patients received radiotherapy, and seven patients received other therapy (five gefitinib, two erlotinib); 68 patients received no therapies poststudy. Of the 99 patients randomly assigned to vinorelbine, 14 patients received chemotherapy, eight patients received radiotherapy, and 15 patients received other therapy (seven gefitinib, eight erlotinib); 65 patients received no therapies poststudy.
Efficacy
The HR for OS was 0.98 (95% CI, 0.66 to 1.47; Fig 2). The median OS rates were 5.9 and 8.0 months for gefitinib and vinorelbine, respectively. The OS rates at 6 and 12 months were 49.2% and 33.9% (for gefitinib) and 54.0% and 33.2% (for vinorelbine), respectively. The median follow-up times for OS were 6.4 and 6.2 months for gefitinib and vinorelbine, respectively. ORRs were 3.1% (95% CI, 0.6 to 8.8) and 5.1% (95% CI, 1.7 to 11.4), and disease control rates were 43.3% and 53.5%, for gefitinib and vinorelbine, respectively. The preplanned logistic regression analysis of ORR could not be performed because of the small number of responses.
QOL
Biomarker Analyses
Tolerability The safety population consisted of all patients who received treatment: 94 and 96 patients treated with gefitinib and vinorelbine, respectively. Fewer patients who received gefitinib reported treatment-related AEs; treatment-related serious AEs; or treatment-related grade 3, 4, or 5 AEs; fewer patients withdrew because of treatment-related AEs compared with vinorelbine (Table 2). There were no treatment-related deaths in the gefitinib group, and there were three in the vinorelbine group (one each as a result of pneumonia, septic shock, and neutropenic sepsis). The most common AEs are listed in Table 3. Although most of the AEs reported with vinorelbine and gefitinib were NCI-CTC grade 1 or 2, there was a numerical trend toward more severe AEs in the vinorelbine group. There were two reports of ILD-type events with gefitinib: NCI-CTC grade 3 ILD and NCI-CTC grade 3 pneumonitis.
Nine patients (9.6%) who were treated with gefitinib had at least one dose interruption because of AEs (median duration of interruption, 3 days), whereas 21 patients (21.9%) who were treated with vinorelbine had a dose reduction and 46 (47.9%) had a dose delay because of toxicity or AEs.
Treatment of elderly patients who have NSCLC remains a challenge. Standard chemotherapy produces modest results and requires intravenous administration, which highlights the urgent need for more effective therapies. This study, the first randomized EGFR-TKI study conducted in untreated elderly patients who have advanced NSCLC, showed no statistical difference between gefitinib and vinorelbine in terms of PFS, OS, and response rate; the toxicity profile and overall QOL assessments favored gefitinib. For patients with advanced disease, QOL and symptom relief represent important clinical end points, because a definitive cure is not achievable. Although the LCS was similar in both arms, drug-related AEs were less frequent in the gefitinib arm. Patients treated with gefitinib had a numerically lower incidence of fatigue as an AE and of gastrointestinal AEs, notably constipation, which is an important side effect in the elderly population that requires particular efforts to avoid or at least minimize. Moreover, hematologic toxicity was confined to patients treated with vinorelbine. Many patients who received vinorelbine experienced deterioration in hematologic parameters, whereas the majority of patients who received gefitinib experienced no changes from baseline in NCI-CTC grade for hematologic parameters (data not shown). Although oral vinorelbine is also available, these findings suggest that the oral EGFR-TKI gefitinib could represent a more tolerable alternative to vinorelbine in the elderly population; phase III studies are now required to additionally explore this potential. This study included a large percentage of patients with good performance status. This aspect could represent a potential limitation for the clinical implication of the study, because elderly fit patients could be safely treated with standard platinum-based doublets. A previous study evaluated the role of the TKI erlotinib in elderly patients with NSCLC.18 In this previous study, erlotinib produced a 10% response rate, a 3.5-month time to progression, and a 10.9-month median survival.18 These encouraging results were observed in a cohort of patients with favorable characteristics, as shown by the high percentage of females (50%) and adenocarcinomas (60%) and by the low percentage of individuals with performance status 2 (only 10%). The present study probably better reflects a European population seen in clinical practice, because the vast majority of patients were male (77%), were smokers (82%), and had squamous cell carcinoma (48%). These clinical characteristics could also explain the low percentage of observed responders, because female sex and adenocarcinoma histology are well-known clinical predictors for response to TKIs.7,8,19 When this study was designed, patient tumor sample collection and biomarker analyses were planned, although no predictor of TKI sensitivity was known. Most patients were analyzed for EGFR gene copy number by FISH; surprisingly, those who were EGFR FISH-positive and who received gefitinib appeared to have poorer outcomes than those who were EGFR FISH-negative and who received gefitinib. This finding was unexpected and was in contrast to previous observations, which showed a survival improvement for patients who were EGFR FISH-positive and who received an EGFR-TKI.9,12,20 A number of hypotheses to explain the EGFR FISH results have been explored, including the effects of differences in performance status and mean age between the two arms, compromised gefitinib exposure, and the treatment-naïve status of patients included in this study (whereas those included in previous studies had received prior lines of therapy). However, a clear explanation for the discrepancy in FISH results is not currently evident. Because of the reported association of EGFR FISH-positive status with the presence of EGFR mutations,9 and because K-Ras mutations represent an important event associated with intrinsic resistance to EGFR-TKIs,21 it could be useful to perform EGFR as well as K-Ras mutation analyses in this patient population. Unfortunately, the majority of ethics committees in centers that participated in the study did not approve gene mutation analyses as complementary tests for this study. Therefore, we were unable to assess the impact of EGFR gene mutations on study therapies. There were too few patients in the K-Ras mutation analysis to draw any accurate conclusions. Another hypothesis, as suggested by recent results from the study, Iressa non–small-cell lung cancer trial evaluating response and survival against taxotere,22 is that EGFR biomarkers and K-Ras mutation status are predictive factors for sensitivity to both EGFR-TKIs and chemotherapy. In conclusion, there was no statistical difference between gefitinib and vinorelbine for efficacy, and gefitinib appeared to have an improved toxicity profile compared with vinorelbine in unselected elderly patients who had advanced NSCLC. Results obtained in patients who were EGFR FISH-positive were unexpected and in contrast with previous observations, which highlights the urgent need for prospective biomarker studies.
Although all authors completed the disclosure declaration, the following author(s) indicated a financial or other interest that is relevant to the subject matter under consideration in this article. Certain relationships marked with a "U" are those for which no compensation was received; those relationships marked with a "C" were compensated. For a detailed description of the disclosure categories, or for more information about ASCO's conflict of interest policy, please refer to the Author Disclosure Declaration and the Disclosures of Potential Conflicts of Interest section in Information for Contributors. Employment or Leadership Position: Serban Ghiorghiu, AstraZeneca (C); Emma L. Duffield, AstraZeneca (C); Alison A. Armour, AstraZeneca (C); Georgina Speake, AstraZeneca (C) Consultant or Advisory Role: Lucio Crinò, AstraZeneca (U); Martin Reck, Roche (U), Boehringer-Ingelheim (U); Fred R. Hirsch, AstraZeneca (U), Roche (U), Eli Lilly & Co (U) Stock Ownership: Serban Ghiorghiu, AstraZeneca; Emma L. Duffield, AstraZeneca; Alison A. Armour, AstraZeneca; Georgina Speake, AstraZeneca Honoraria: Lucio Crinò, AstraZeneca; Martin Reck, Boehringer-Ingelheim, Roche, Eli Lilly & Co, Bayer; Michael Cullen, AstraZeneca Research Funding: Fred R. Hirsch, AstraZeneca, OSI Pharmaceuticals, Merck & Co; Marileila Varella-Garcia, AstraZeneca; Michael Cullen, AstraZeneca Expert Testimony: None Other Remuneration: None
Conception and design: Lucio Crinò, Serban Ghiorghiu, Emma L. Duffield, Michael Cullen Provision of study materials or patients: Lucio Crinò, Federico Cappuzzo, Petr Zatloukal, Martin Reck, Milos Pesek, Joyce C. Thompson, Hugo E.R. Ford, Michael Cullen Collection and assembly of data: Federico Cappuzzo, Petr Zatloukal, Martin Reck, Joyce C. Thompson, Fred R. Hirsch, Serban Ghiorghiu, Emma L. Duffield, Alison A. Armour, Michael Cullen Data analysis and interpretation: Lucio Crinò, Federico Cappuzzo, Martin Reck, Fred R. Hirsch, Marileila Varella-Garcia, Serban Ghiorghiu, Emma L. Duffield, Alison A. Armour, Georgina Speake, Michael Cullen Manuscript writing: Lucio Crinò, Federico Cappuzzo, Fred R. Hirsch, Serban Ghiorghiu, Emma L. Duffield, Alison A. Armour, Michael Cullen Final approval of manuscript: Lucio Crinò, Federico Cappuzzo, Petr Zatloukal, Martin Reck, Milos Pesek, Joyce C. Thompson, Hugo E.R. Ford, Fred R. Hirsch, Marileila Varella-Garcia, Serban Ghiorghiu, Emma L. Duffield, Alison A. Armour, Georgina Speake, Michael Cullen
Biomarker Assessments A tumor tissue sample from the diagnostic block was analyzed for epidermal growth factor receptor (EGFR) gene copy number by using FISH according to a previously described protocol (Cappuzzo F, Hirsch FR, Rossi E, et al: J Natl Cancer Inst 97:643-655, 2005). Patients were considered to have a high EGFR gene copy number (FISH-positive) if there was high polysomy (ie, 4 copies in > 40% of cells) or gene amplification (ie, presence of tight gene clusters, a gene-to-chromosome ratio per cell of 2, or 15 copies of EGFR per cell in 10% of cells analyzed). EGFR protein expression status was assessed by using the DAKO EGFR pharmDx kit (DAKO, Glostrup, Denmark). Patients were classified as EGFR-positive (ie, 10% cells stained) or EGFR-negative (ie, < 10% cells stained). EGFR gene mutations were investigated by the amplification refractory mutation system (for exon 19 deletions and L858R mutations) and by gene sequencing (for mutations in exons 18 to 21). Three independent polymerase chain reactions were performed for sequencing; mutations had to be detected in at least two traces, each originating from independent polymerase chain reactions.
We thank the investigators and patients who participated in the study and Margaret Skokan, BS, Sujatha Gajapathy, MS and Yun Xiao, PhD, of the University of Colorado Cancer Center Cytogenetics Core for their assistance with the fluorescent in situ hybridization (FISH) analyses. We also thank Annette Smith, PhD, from Complete Medical Communications, who provided editing assistance that was funded by AstraZeneca.
Supported by AstraZeneca, Macclesfield, Cheshire, United Kingdom. Presented in part at the 5th International Symposium on Targeted Anticancer Therapies, March 8-10, 2007, Amsterdam, the Netherlands, and at the 12th World Conference on Lung Cancer, September 2-6, 2007, Seoul, Korea. Authors disclosures of potential conflicts of interest and author contributions are found at the end of this article. Clinical trial information can be found for the following: NCT00256711 [ClinicalTrials.gov] .
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Copyright © 2008 by the American Society of Clinical Oncology, Online ISSN: 1527-7755. Print ISSN: 0732-183X
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