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PD-L1 expression in lung cancer and its correlation with driver mutations: a meta-analysis.

Minghui Zhang | Guoliang Li | Yanbo Wang | Yan Wang | Shu Zhao | Pu Haihong | Hongli Zhao | Yan Wang
Scientific reports | 2017

Although many studies have addressed the prognostic value of programmed cell death-ligand 1 (PD-L1) expression in lung cancer, the results remain controversial. A systematic search of the PubMed, EMBASE, and Cochrane Library databases was performed to identify the correlation between PD-L1 expression and driver mutations and overall survival (OS). This meta-analysis enrolled a total of 11,444 patients for 47 studies, and the pooled results showed that increased PD-L1 expression was associated with poor prognosis (HR = 1.40, 95% CI: 1.19-1.65, P < 0.001). In subgroup analysis stratified according to histology types, the pooled results demonstrated that increased PD-L1 expression was an unfavorable prognostic factor for non-small cell lung cancer (NSCLC) (HR = 1.26, 95% CI: 1.05-1.52, P = 0.01) and pulmonary lymphoepithelioma-like carcinoma (LELC) (HR = 3.04, 95% CI: 1.19-7.77, P = 0.02), rather than small cell lung cancer (SCLC) (HR = 0.62, 95% CI: 0.27-1.39, P = 0.24). The pooled ORs indicated that PD-L1 expression was associated with gender, smoking status, histology, differentiation, tumour size, lymph nodal metastasis, TNM stage and EGFR mutation. However, PD-L1 expression was not correlated with ALK rearrangement and KRAS mutations.

Pubmed ID: 28860576

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Public bibliographic database that provides access to citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites. PubMed citations and abstracts include fields of biomedicine and health, covering portions of life sciences, behavioral sciences, chemical sciences, and bioengineering. Provides access to additional relevant web sites and links to other NCBI molecular biology resources. Publishers of journals can submit their citations to NCBI and then provide access to full-text of articles at journal web sites using LinkOut.

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Comprehensive international bibliographic biomedical database that enables users to track and retrieve precise information on drugs and diseases from pre-clinical studies to searches on critical toxicological information. It contains bibliographic records with citations, abstracts and indexing derived from biomedical articles in peer reviewed journals, and is especially strong in its coverage of drug and pharmaceutical research. Embase can help with everything from clinical trials research to pharmacovigilance and is updated online daily and weekly. Its broad biomedical scope covers the following areas: * Drug therapy and research, including pharmaceutics, pharmacology and toxicology * Clinical and experimental (human) medicine * Basic biological science relevant to human medicine * Biotechnology and biomedical engineering, including medical devices * Health policy and management, including pharmacoeconomics * Public, occupational and environmental health, including pollution control * Veterinary science, dentistry, and nursing The Embase Application Programming Interface supports export, RSS feeds, and integration services, making it possible to share data with a wide range of systems.

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