A meta-analysis reveals prognostic role of programmed death ligand-1 in Asian patients with non-small cell lung cancer / 华中科技大学学报(医学)(英德文版)
Journal of Huazhong University of Science and Technology (Medical Sciences)
; (6): 313-320, 2016.
Article
de En
| WPRIM
| ID: wpr-285269
Bibliothèque responsable:
WPRO
ABSTRACT
Accumulating studies explored the clinicopathologic and prognostic value of programmed death ligand-1 (PD-L1) in non-small cell lung cancer (NSCLC), but the results were controversial. We therefore conducted a meta-analysis to evaluate the predictive role of PD-L1 in NSCLC patients. We systematically collected relevant studies from PubMed, Embase, Web of Science and China National Knowledge Infrastructure. The pooled hazard ratios (HRs) with 95% confidence intervals (CIs) for overall survival (OS), and odd ratios (ORs) with 95% CIs for clinicopathologic factors were calculated. A total of 15 studies involving 3605 patients were included in this meta-analysis. The results showed no prognostic role of PD-L1 in the whole patients (HR=1.60, 95% CI: 0.88-2.89, P=0.123). Subgroup analysis showed that PD-L1 was associated with decreased OS in Asian patients (HR=2.00, 95% CI: 1.55-2.57, P<0.001). Among all the clinicopathologic factors, PD-L1 overexpression was significantly in relevance with poor tumor cell differentiation (HR=1.84, 95% CI: 1.49-2.28, P<0.001), late stage (HR=1.21, 95% CI: 1.02-1.43, P=0.026) and anaplastic lymphoma kinase (ALK) translocation (HR=2.63, 95% CI: 1.08-6.40, P=0.034), but not with other factors. In conclusion, our meta-analysis demonstrated that PD-L1 has a prognostic role in Asian patients with NSCLC.
Mots clés
Texte intégral:
1
Indice:
WPRIM
Sujet Principal:
Pronostic
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Marqueurs biologiques tumoraux
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Modèles des risques proportionnels
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Mortalité
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Récepteurs à activité tyrosine kinase
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Carcinome pulmonaire non à petites cellules
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Transport des protéines
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Asiatiques
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Diagnostic
Type d'étude:
Diagnostic_studies
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Prognostic_studies
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Systematic_reviews
Limites du sujet:
Humans
langue:
En
Texte intégral:
Journal of Huazhong University of Science and Technology (Medical Sciences)
Année:
2016
Type:
Article