Prognostic and clinicopathological roles of programmed death-ligand 1 (PD-L1) expression in thymic epithelial tumors: A meta-analysisopen access
- Authors
- Koh, Hyun Min; Jang, Bo Gun; Lee, Hyun Ju; Hyun, Chang Lim
- Issue Date
- Nov-2020
- Publisher
- Blackwell Publishing Asia Pty Ltd
- Keywords
- Meta-analysis; prognosis; programmed death-ligand 1; thymic epithelial tumor
- Citation
- Thoracic Cancer, v.11, no.11, pp 3086 - 3098
- Pages
- 13
- Journal Title
- Thoracic Cancer
- Volume
- 11
- Number
- 11
- Start Page
- 3086
- End Page
- 3098
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/2380
- DOI
- 10.1111/1759-7714.13590
- ISSN
- 1759-7706
1759-7714
- Abstract
- Background Programmed death-ligand 1 (PD-L1) is one of the immune checkpoint proteins, and plays an important role in the progression and microenvironment of cancer. PD-L1 expression has been associated with poor survival in many cancers. Several studies have also shown an association between PD-L1 expression and the prognosis of patients with thymic epithelial tumors (TETs). In this study, we systematically evaluated the prognostic and clinicopathological roles of PD-L1 expression in TETs. Methods We searched the literature through PubMed, Embase and Cochrane library and chose the eligible studies, and subsequently performed a meta-analysis to evaluate the prognostic and clinicopathological roles of PD-L1 expression in TETs. Results Six of the 75 articles found in the literature were selected. PD-L1 expression was significantly related to unfavorable overall survival (hazard ratio 1.52, 95% confidence interval [CI]: 1.01-2.30,P= 0.046) in TETs. PD-L1 expression was significantly associated with male gender (odds ratio [OR] 1.55, 95% CI: 1.08-2.22,P= 0.017) and higher Masaoka stage (OR 3.93, 95% CI: 2.44-6.32,P< 0.001). Conclusions PD-L1 expression was correlated with unfavorable prognosis in TETs, indicating PD-L1 expression could help determine the prognosis of TET patients.
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Collections - College of Medicine > Department of Pathology > 1. Journal Articles
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