The clinicopathological and prognostic significance of PD-L1 expression in gastric cancer: a meta-analysis of 10 studies with 1,901 patients
| Autor: | Minghui Zhang, Yuandi Dong, Haitao Liu, Yan Wang, Shu Zhao, Qijia Xuan, Qingyuan Zhang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Oncology medicine.medical_specialty medicine.medical_treatment Cochrane Library Article B7-H1 Antigen Targeted therapy 03 medical and health sciences 0302 clinical medicine Stomach Neoplasms Internal medicine Biomarkers Tumor Odds Ratio medicine Humans Survival analysis Proportional Hazards Models Multidisciplinary Proportional hazards model business.industry Hazard ratio Cancer Odds ratio Prognosis medicine.disease Survival Analysis 030104 developmental biology Lymphatic Metastasis 030220 oncology & carcinogenesis Meta-analysis business |
| Zdroj: | Scientific Reports |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/srep37933 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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