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  4. Impact of EGFR inhibitor in non-small cell lung cancer on progression-free and overall survival: A meta-analysis
 
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Impact of EGFR inhibitor in non-small cell lung cancer on progression-free and overall survival: A meta-analysis

Journal
Journal of the National Cancer Institute
Journal Volume
105
Journal Issue
9
Pages
595-605
Date Issued
2013
Author(s)
Lee C.K
Brown C
Gralla R.J
Hirsh V
Thongprasert S
Tsai C.-M
Tan E.H
Ho J.C.-M
Chu D.T
Zaatar A
Osorio Sanchez J.A
Vu V.V
Au J.S.K
Inoue A
Lee S.M
Gebski V
CHIH-HSIN YANG  
DOI
10.1093/jnci/djt072
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84877291745&doi=10.1093%2fjnci%2fdjt072&partnerID=40&md5=bf16026e42349015965e7a1678b80701
https://scholars.lib.ntu.edu.tw/handle/123456789/495046
Abstract
BACKGROUND: The epidermal growth factor receptor (EGFR) signaling pathway is crucial for regulating tumorigenesis and cell survival and may be important in the development and progression of non-small cell lung cancer (NSCLC). We examined the impact of EGFR-tyrosine kinase inhibitors (TKIs) on progression-free survival (PFS) and overall survival (OS) in advanced NSCLC patients with and without EGFR mutations. METHODS: Randomized trials that compared EGFR-TKIs monotherapy or combination EGFR-TKIs-chemotherapy with chemotherapy or placebo were included. We used published hazard ratios (HRs), if available, or derived treatment estimates from other survival data. Pooled estimates of treatment efficacy of EGFR-TKIs for the EGFR mutation-positive (EGFRmut(+)) and EGFR mutation-negative (EGFRmut(-)) subgroups were calculated with the fixed-effects inverse variance weighted method. All statistical tests were two-sided. RESULTS: We included 23 eligible trials (13 front-line, 7 second-line, 3 maintenance; n = 14570). EGFR mutation status was known in 31% of patients. EGFR-TKIs treatment prolonged PFS in EGFRmut(+) patients, and EGFR mutation was predictive of PFS in all settings: The front-line hazard ratio for EGFRmut(+) was 0.43 (95% confidence interval [CI] = 0.38 to 0.49; P < .001), and the front-line hazard ratio for EGFRmut(-) was 1.06 (95% CI = 0.94 to 1.19; P = .35; P interaction < .001). The second-line hazard ratio for EGFRmut(+) was 0.34 (95% CI = 0.20 to 0.60; P < .001), and the second-line hazard ratio for EGFRmut(-) was 1.23 (95% CI = 1.05 to 1.46; P = .01; P interaction < .001). The maintenance hazard ratio for EGFRmut(+) was 0.15 (95% CI = 0.08 to 0.27; P < .001), and the maintenance hazard ratio for EGFRmut(-) was 0.81 (95% CI = 0.68 to 0.97; P = .02; P interaction < .001). EGFR-TKIs treatment had no impact on OS for EGFRmut(+) and EGFRmut(-) patients. CONCLUSIONS: EGFR-TKIs therapy statistically significantly delays disease progression in EGFRmut(+) patients but has no demonstrable impact on OS. EGFR mutation is a predictive biomarker of PFS benefit with EGFR-TKIs treatment in all settings. These findings support EGFR mutation assessment before initiation of treatment. EGFR-TKIs should be considered as front-line therapy in EGFRmut(+) advanced NSCLC patients.
SDGs

[SDGs]SDG3

Type
review

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