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. 2016 Nov 28:6:37933.
doi: 10.1038/srep37933.

The clinicopathological and prognostic significance of PD-L1 expression in gastric cancer: a meta-analysis of 10 studies with 1,901 patients

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The clinicopathological and prognostic significance of PD-L1 expression in gastric cancer: a meta-analysis of 10 studies with 1,901 patients

Minghui Zhang et al. Sci Rep. .

Abstract

The prognostic value of programmed death-ligand 1 (PD-L1) in gastric cancer (GC) remains controversial. To clarify this problem, we performed a meta-analysis of research studies identified in the PubMed, EMBASE and the Cochrane Library databases. A total of 1,901 patients in 10 studies were enrolled in this meta-analysis, and the pooled hazard ratio (HR) of 1.64 (95% CI 1.11 to 2.43; P = 0.01) indicated that PD-L1 expression is associated with a shorter overall survival (OS). The pooled odds ratios (ORs) indicated that PD-L1 expression was associated with tumour size (OR = 1.87, 95% CI 1.25 to 2.78; P = 0.002) and lymph node status (OR = 2.17, 95% CI 1.04 to 4.52; P = 0.04). However, PD-L1 had no correlation with gender, age, cancer location, differentiation, depth of invasion, and tumour stage. This meta-analysis indicates that PD-L1 expression is a valuable predictor of the prognosis of patients with GC. PD-L1 expression could be used for identifying a subgroup of patients, who would potentially benefit from targeted therapy against PD-1 or PD-L1. Well-designed large-cohort studies are needed to confirm these findings.

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Figures

Figure 1
Figure 1. Flow Chart of Study Selection.
Figure 2
Figure 2. Forest plot describing the association between PD-L1 expression and OS of patients with gastric cancer.
Figure 3
Figure 3. Forest plot describing subgroup analysis of the association between PD-L1 expression and OS according to immunohistochemistry cutoff value.
(A) Percentage (cutoff value 10%), (B) percentage (cutoff value 51%).
Figure 4
Figure 4
Forest plots for the association between PD-L1 expression and clinicopathological features (A) gender, (B) age, (C) cancer location, (D) differentiation, (E) tumor size, (F) dept of invasion, (G) lymph node metastasis, H. stage.
Figure 5
Figure 5. Egger’s and Begg’s funnel plot with 95% confidence intervals for OS publication bias testing.
Figure 6
Figure 6. Funnel blot was designed to visualize a potential publication bias for PD-L1 expression and gender.

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