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Review
. 2017 May 16;8(20):33961-33971.
doi: 10.18632/oncotarget.15475.

Clinical efficacy of icotinib in lung cancer patients with different EGFR mutation status: a meta-analysis

Affiliations
Review

Clinical efficacy of icotinib in lung cancer patients with different EGFR mutation status: a meta-analysis

Jian Qu et al. Oncotarget. .

Abstract

Icotinib is a novel and the third listed epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs), which exerts a good anti-tumor efficacy on non-small cell lung cancer (NSCLC). The efficacy of EGFR-TKIs has been shown to be associated with the EGFR mutation status, especially exon 19 deletion (19Del) and exon 21 L858R mutation. Therefore, a meta-analysis was performed to assess the efficacy of icotinib in NSCLC patients harboring EGFR mutations (19Del or L858R) and wild type (19Del and L858R loci wild type). A total of 24 studies were included for comparing the objective response rate (ORR) in the EGFR wild type and mutant patients treated with icotinib. The ORRs of EGFR mutant patients (19Del or L858R) are better than those of EGFR wild type patients (OR = 7.03(5.09-9.71), P < 0.00001). The pooling ORs from 21 studies on the disease control rate (DCR) in EGFR mutant patients are better than those of EGFR wild type patients (OR = 10.54(5.72-19.43), P < 0.00001). Moreover, the ORRs of EGFR 19Del patients are better than those of EGFR L858R patients after pooling ORs of 12 studies (OR = 2.04(1.12-3.73), P = 0.019). However, there was no significant difference on DCRs of EGFR 19Del patients and those of EGFR L858R patients (OR = 2.01(0.94-4.32), P = 0.072). Our findings indicated that compared with EGFR wild type patients, EGFR mutant patients have better ORRs and DCRs after icotinib treatment; EGFR 19Del patients treated with icotinib have better ORRs than EGFR L858R patients. EGFR mutation status is a useful biomarker for the evaluation of icotinib efficacy in NSCLC patients.

Keywords: disease control rate; epidermal growth factor receptor; icotinib; meta-analysis; objective response rate.

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Conflict of interest statement

CONFLICTS OF INTEREST

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1. Procedure of article selection
Figure 2
Figure 2. Analysis of risk of bias
Figure 3
Figure 3
Forest plots of studies evaluating odds ratios of ORRs (A), DCRs (B) and DCRs subgroups analysis according to NOS (C) in EGFR wild type and EGFR mutant patients. OR: odds ratio.
Figure 4
Figure 4
Forest plots of studies evaluating odds ratios of ORRs (A), forest plots of studies excluding one publication that influences the overall effective size evaluating odds ratios of ORRs (B) and DCRs (C) in EGFR 19Del and L858R patients. OR: odds ratio.
Figure 5
Figure 5. The funnel plots, Egger's test and Begg's test of publication bias in pooling ORs analysis in EGFR wild type and EGFR mutant patients
(A) The funnel plots, (B) Egger's test and (C) Begg's test for pooling ORs of ORRs analysis; (D) The funnel plots, (E) Egger's test and (F) Begg's test for pooling ORs of DCRs analysis. OR: odds ratio; SE: standard error.
Figure 6
Figure 6. The funnel plots, Egger's test and Begg's test of publication bias in pooling ORs analysis in EGFR 19Del and L858R patients
(A) The funnel plots, (B) Egger's test and (C) Begg's test for pooling ORs of ORRs analysis; (D) The funnel plots, (E) Egger's test and (F) Begg's test for pooling ORs of DCRs analysis. OR: odds ratio; SE: standard error.
Figure 7
Figure 7
The sensitivity analysis of pooling ORs of DCRs in EGFR mutant patients vs. EGFR wild type patients (A) and ORRs in EGFR 19Del and EGFR L858R patients (B). CI: confidence interval.

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