Title |
Prognostic value of programmed cell death-ligand 1 expression in patients with non-small-cell lung cancer: evidence from an updated meta-analysis
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Published in |
OncoTargets and therapy, December 2015
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DOI | 10.2147/ott.s91469 |
Pubmed ID | |
Authors |
Anyuan Zhong, Yufei Xing, Xue Pan, Minhua Shi, Huajun Xu |
Abstract |
The association between the expression of programmed cell death-ligand 1 (PD-L1) and survival in patients with non-small-cell lung cancer (NSCLC) is controversial. Thus, we conducted a meta-analysis of all available studies to evaluate the prognostic role of PD-L1 expression in NSCLC. PubMed, Embase, and Chinese (China National Knowledge Infrastructure and Wanfang) databases were searched to identify all eligible studies evaluating PD-L1 expression and the survival of NSCLC patients. Hazard ratios (HRs) and 95% confidence interval (CI) used to assess overall survival were extracted and pooled. Subgroup, sensitivity, and publication-bias analyses were also performed. Eleven articles reporting 12 studies that included a total of 1,653 patients met the inclusion criteria and were included in the meta-analysis. Higher PD-L1 expression did not correlate with prognosis in terms of overall survival in patients with NSCLC (HR =1.21, 95% CI: 0.85-1.71, P=0.29). However, a subgroup analysis showed a significant association between PD-L1 expression and poor prognosis in Chinese patients with NSCLC (HR =1.55, 95% CI: 1.04-2.29, P=0.03). The sensitivity analysis showed that the pooled results were not affected by the removal of any single study. There was also no significant publication bias. Our meta-analysis indicated no statistically significant difference between PD-L1 expression and prognosis for patients with NSCLC. Additional, high-quality studies with larger sample sizes are needed to determine the prognostic value of PD-L1 expression in NSCLC. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Netherlands | 1 | 5% |
Unknown | 20 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 24% |
Student > Ph. D. Student | 3 | 14% |
Professor | 2 | 10% |
Lecturer | 2 | 10% |
Student > Postgraduate | 2 | 10% |
Other | 5 | 24% |
Unknown | 2 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 33% |
Biochemistry, Genetics and Molecular Biology | 3 | 14% |
Agricultural and Biological Sciences | 1 | 5% |
Immunology and Microbiology | 1 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
Other | 4 | 19% |
Unknown | 4 | 19% |