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Journal Article
Meta-Analysis
Prognostic significance of circulating soluble programmed death ligand-1 in patients with solid tumors: A meta-analysis.
Medicine (Baltimore) 2018 January
BACKGROUND: The prognostic significance of circulating soluble programmed death ligand-1 (sPD-L1) in patients with solid tumors remains unclear. We performed a meta-analysis to address this issue.
METHODS: Several electronic databases were searched from January 1970 to May 2017. The hazard ratios (HRs) and 95% confidence interval (95% CI) were calculated to determine the relationship between the level of soluble PD-L1 in peripheral blood and patient overall survival.
RESULTS: A total of 1040 patients with solid tumors from 8 eligible studies were included in the present meta-analysis. The pooled HR suggested that a high level of soluble PD-L1 (sPD-L1) in peripheral blood was significantly correlated with a worse overall survival (HR = 2.26, 95% 1.83-2.80, Z = 7.51, P < .001).
CONCLUSION: The present meta-analysis demonstrated that a high level of soluble PD-L1 in peripheral blood significantly predicts poor prognosis in patients with solid tumors, suggesting that high level of sPD-L1 may serve as a predictive biomarker for poor prognosis.
METHODS: Several electronic databases were searched from January 1970 to May 2017. The hazard ratios (HRs) and 95% confidence interval (95% CI) were calculated to determine the relationship between the level of soluble PD-L1 in peripheral blood and patient overall survival.
RESULTS: A total of 1040 patients with solid tumors from 8 eligible studies were included in the present meta-analysis. The pooled HR suggested that a high level of soluble PD-L1 (sPD-L1) in peripheral blood was significantly correlated with a worse overall survival (HR = 2.26, 95% 1.83-2.80, Z = 7.51, P < .001).
CONCLUSION: The present meta-analysis demonstrated that a high level of soluble PD-L1 in peripheral blood significantly predicts poor prognosis in patients with solid tumors, suggesting that high level of sPD-L1 may serve as a predictive biomarker for poor prognosis.
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