Literature DB >> 26206590

The Efficacy of Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors for Molecularly Selected Patients with Non-Small Cell Lung Cancer: A Meta-Analysis of 30 Randomized Controlled Trials.

Jin Liu1, Zhixin Sheng2, Yanxia Zhang3, Guixin Li4.   

Abstract

OBJECTIVE: To determine the efficacy of first-generation epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) in molecularly selected patients with advanced non-small cell lung cancer (NSCLC), we performed this pooled analysis.
METHOD: Randomized trials of EGFR-TKIs as treatment for advanced NSCLC were included for this meta-analysis. We used published hazard ratios (HRs), if available, or derived treatment estimates from other survival data. Pooled estimates of treatment efficacy of EGFR-TKIs in the selected patients by EGFR-mutation status were calculated.
RESULTS: Out of 2134 retrieved articles, 30 randomized controlled trials (RCTs) enrolling more than 4053 patients with wild-type EGFR tumors and 1592 patients with mutant EGFR tumors were identified. For EGFR mutant patients, EGFR-TKIs treatment improved progression-free survival (PFS) compared with chemotherapy: the summary HRs were 0.41 (p < 0.00001) for the first-line setting and 0.46 (p = 0.02) for second/third-line setting, respectively. Also, the same superior trend was found with TKIs maintenance over placebo (HR = 0.14, p < 0.00001) and with TKIs combined with chemotherapy over chemotherapy (HR = 0.49, p = .002) in both the first-line and maintenance therapy settings. For EGFR wild-type patients, EGFR-TKIs have fared worse than chemotherapy in the first-line setting (HR = 1.65, p = .03) and in the second/third-line setting (HR = 1.27, p = .005). However, EGFR-TKIs maintenance still produced a reduction of 19 % in the risk of progression over placebo (HR = 0.81, p = .02). Furthermore, EGFR-TKIs added to chemotherapy as first-line treatment resulted in an improvement of PFS over chemotherapy alone in such wild-type EGFR patients (HR = 0.82, p = .03). In overall survival (OS) analysis, only EGFR-TKIs single agent was inferior to chemotherapy in EGFR wild-type patients (HR = 1.13, p = .02). No statistically significant difference in terms of OS was observed in any other subgroup analysis.
CONCLUSIONS: For EGFR mutant patients, EGFR-TKIs therapy produced a prominent PFS benefit in all settings. Among EGFR wild-type patients, EGFR-TKIs were inferior to chemotherapy both for first-line treatment and for second/third-line treatment. However, EGFR-TKIs maintenance and addition of EGFR-TKIs to chemotherapy could provide additive benefit over chemotherapy alone in such EGFR wild-type patients.

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Year:  2016        PMID: 26206590     DOI: 10.1007/s11523-015-0376-7

Source DB:  PubMed          Journal:  Target Oncol        ISSN: 1776-2596            Impact factor:   4.493


  54 in total

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Authors:  Pasi A Jänne; Xiaofei Wang; Mark A Socinski; Jeffrey Crawford; Thomas E Stinchcombe; Lin Gu; Marzia Capelletti; Martin J Edelman; Miguel A Villalona-Calero; Robert Kratzke; Everett E Vokes; Vincent A Miller
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Authors:  Giuseppe Giaccone; Roy S Herbst; Christian Manegold; Giorgio Scagliotti; Rafael Rosell; Vincent Miller; Ronald B Natale; Joan H Schiller; Joachim Von Pawel; Anna Pluzanska; Ulrich Gatzemeier; John Grous; Judith S Ochs; Steven D Averbuch; Michael K Wolf; Pamela Rennie; Abderrahim Fandi; David H Johnson
Journal:  J Clin Oncol       Date:  2004-03-01       Impact factor: 44.544

9.  Phase III study, V-15-32, of gefitinib versus docetaxel in previously treated Japanese patients with non-small-cell lung cancer.

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10.  Practical methods for incorporating summary time-to-event data into meta-analysis.

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Journal:  Trials       Date:  2007-06-07       Impact factor: 2.279

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2.  Mimicking the BIM BH3 domain overcomes resistance to EGFR tyrosine kinase inhibitors in EGFR-mutant non-small cell lung cancer.

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4.  Comparison of effectiveness and adverse effects of gefitinib, erlotinib and icotinib among patients with non-small cell lung cancer: A network meta-analysis.

Authors:  Yuanyuan Liu; Yu Zhang; Gangling Feng; Qiang Niu; Shangzhi Xu; Yizhong Yan; Shugang Li; Mingxia Jing
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  4 in total

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