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Authors Qiao L, Wang J, Long G, Jiang Y
Received 19 November 2016
Accepted for publication 18 January 2017
Published 28 February 2017 Volume 2017:10 Pages 1279—1284
DOI https://doi.org/10.2147/OTT.S128187
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Manfred Beleut
Peer reviewer comments 2
Editor who approved publication: Dr Carlos Vigil Gonzales
Abstract: There is debate surrounding which treatment is superior in overall
survival (OS) rates in patients with epidermal growth factor receptor (EGFR)
mutant non-small cell lung cancer (NSCLC); first-line tyrosine kinase inhibitor
(TKI) followed by second-line platinum-based doublet chemotherapy (PCT), or the
reverse sequence. Cross treatment of first- and second-line TKI and PCT makes
it difficult to deduce which sequence (TKI-PCT or PCT-TKI) is better for OS.
Using the keywords “lung cancer” and “EGFR” we identified clinical trials
within the PubMed database which were published between January 2006 and
November 2016. Basic characteristics and OS with hazard ratio and 95%
confidence intervals were searched and analyzed. In total, 457 articles were reviewed
and nine clinical trials with 1,876 patients were of sufficient quality for
further analysis. Fixed effects models were performed to pool the data in this
meta-analysis. All nine studies were open-labeled, multicenter, Phase III
randomized controlled clinical trials. The pooled hazard ratio was 0.96 (95%
confidence interval: 0.84–1.10) for OS between first-line TKI followed by
second-line PCT compared to the reverse sequence. No statistically significant
heterogeneity (I 2=0, P =0.553) nor
publication bias (Egger’s P =0.991) was observed among these
studies. In conclusion, there was no OS benefit between first-line TKI followed
by second-line PCT compared to the reverse sequence in EGFR mutant NSCLC
patients. Chemotherapy was still useful and irreplaceable for the treatment of
NSCLC, especially for those patients with EGFR unavailable for testing.
Keywords: TKI, EGFR, chemotherapy, lung cancer,
meta-analysis