
The predictive and prognostic effects of PD-L1 expression on TKI treatment and survival of EGFR-mutant NSCLC
Author(s) -
Bo Lan,
Yongfang Wang,
Jingni Wu,
Kai Wang,
Pingli Wang
Publication year - 2021
Publication title -
medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.59
H-Index - 148
eISSN - 1536-5964
pISSN - 0025-7974
DOI - 10.1097/md.0000000000027038
Subject(s) - medicine , hazard ratio , oncology , odds ratio , epidermal growth factor receptor , confidence interval , lung cancer , biomarker , tyrosine kinase inhibitor , predictive marker , cancer , biochemistry , chemistry
Whether programmed death-ligand 1 (PD-L1) expression could predict the outcome of tyrosine kinase inhibitor (TKI) treatment and prognosis of epidermal growth factor receptor (EGFR)-mutant nonsmall cell lung cancer (NSCLC) is remaining controversial. Potential studies were search from PubMed, Embase, and Web of Science databases. Pooled odds ratio of objective response rate was used to describe the relationship between PD-L1 expression and primary resistance to EGFR-TKIs. Pooled hazard ratios (HRs) of progression-free survival (PFS) and overall survival (OS) were included to assess the effects of PD-L1 status on the outcome of EGFR-TKI treatment and survival of EGFR-mutant NSCLCs. Eighteen eligible studies (1986 EGFR-mutant NSCLCs) were included in this meta-analysis. Positive PD-L1 expression correlated with lower objective response rate of EGFR-TKI treatment (odds ratio [95% confidence interval {CI}] = 0.52 [0.28–0.98], P = .043), while PFS (adjusted HR [95% CI] = 1.49 [0.96–1.89], P = .332) and OS (HR [95% CI] = 1.24 [0.70–2.20], P = .456) of EGFR-TKI treatment did not correlated with PD-L1 status. Furthermore, PD-L1 expression was not a predictive biomarker for the OS (HR [95% CI] = 1.43 [0.98–2.08], P = .062) in overall EGFR-mutant cohort. Positive PD-L1 expression indicated a higher incidence of primary resistance, but did not correlate with the PFS or OS of EGFR-TKI therapy. In addition, PD-L1 expression was unlikely a predictive biomarker for prognosis of EGFR-mutant NSCLCs.