Checkpoint Inhibitors in Metastatic EGFR-Mutated Non–Small Cell Lung Cancer—A Meta-Analysis

Chee Khoon Lee*, Johnathan Man, Sally Lord, Matthew Links, Val Gebski, Tony Mok, James Chih Hsin Yang

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

680 Citations (Scopus)

Abstract

Introduction

We performed a meta-analysis to assess the role of immune checkpoint inhibitors as second-line therapy in EGFR-mutant advanced NSCLC. 

Methods

Randomized trials comparing immune checkpoint inhibitors against chemotherapy were identified. We retrieved the hazard ratio (HR) and 95% confidence interval (CI) for overall survival (OS) of the intention-to-treat population and EGFR mutation–defined subgroups. We used the fixed-effects inverse variance–weighted method to pool estimates of treatment efficacy. Statistical tests were two sided. 

Results

In the three included studies that compared immune checkpoint inhibitors (nivolumab [n = 292], pembrolizumab [n = 691], and atezolizumab [n =144]) against docetaxel (n = 776), immune checkpoint inhibitors significantly prolonged OS over that with docetaxel overall (n = 1903, HR = 0.68, 95% CI: 0.61–0.77, p < 0.0001) and in the EGFR wild-type subgroup (n = 1362, HR = 0.66, 95% CI: 0.58–0.76, p < 0.0001) but not in the EGFR-mutant subgroup (n = 186, HR = 1.05, 95% CI: 0.70–1.55, p < 0.81; treatment-mutation interaction p = 0.03). 

Conclusion 

In EGFR-mutant advanced NSCLC, immune checkpoint inhibitors do not improve OS over that with docetaxel. Mechanisms of acquired resistance to first-line tyrosine kinase inhibitor therapy should be elucidated to guide selection of second-line treatment for these patients.

Original languageEnglish
Pages (from-to)403-407
Number of pages5
JournalJournal of Thoracic Oncology
Volume12
Issue number2
DOIs
Publication statusPublished - 2 Feb 2017
Externally publishedYes

Fingerprint

Dive into the research topics of 'Checkpoint Inhibitors in Metastatic EGFR-Mutated Non–Small Cell Lung Cancer—A Meta-Analysis'. Together they form a unique fingerprint.

Cite this