Evaluation of PD-L1 Expression and Associated Tumor-Infiltrating Lymphocytes in Laryngeal Squamous Cell Carcinoma
作者
Maria Vassilakopoulou,Margaritis Avgeris,Vamsidhar Velcheti,Vassiliki Kotoula,Theodore Rampias,Kyriakos Chatzopoulos,Christos Perisanidis,Christos K. Kontos,Aris Ι. Giotakis,Andreas Scorilas,David L. Rimm,Clarence T. Sasaki,George Fountzilas,Amanda Psyrri
出处
期刊:Clinical Cancer Research [American Association for Cancer Research] 日期:2015-09-25卷期号:22 (3): 704-713被引量:214
PURPOSE: Programmed death-ligand 1 (PD-L1; also known as CD274 or B7-H1) expression represents a mechanism of immune escape for cancer. Our purpose was to characterize tumor PD-L1 expression and associated T-cell infiltration in primary laryngeal squamous cell carcinomas (SCC). EXPERIMENTAL DESIGN: A well-annotated cohort of 260 operable primary laryngeal SCCs [formalin-fixed paraffin-embedded (FFPE) specimens] was morphologically characterized for stromal tumor-infiltrating lymphocytes (TIL), on hematoxylin/eosin-stained whole sections and for PD-L1 mRNA expression by qRT-PCR in FFPE specimens. For PD-L1 protein expression, automated quantitative protein analysis (AQUA) was applied on tissue microarrays consisting of two cores from these tumors. In addition, PD-L1 mRNA expression in fresh-frozen tumors and normal adjacent tissue specimens was assessed in a second independent cohort of 89 patients with primary laryngeal SCC. RESULTS: PD-L1 mRNA levels were upregulated in tumors compared with surrounding normal tissue (P = 0.009). TILs density correlated with tumor PD-L1 AQUA levels (P = 0.021). Both high TILs density and high PD-L1 AQUA levels were significantly associated with superior disease-free survival (DFS; TILs: P = 0.009 and PD-L1: P = 0.044) and overall survival (OS; TILs: P = 0.015 and PD-L1: P = 0.059) of the patients and retained significance in multivariate analysis. CONCLUSIONS: Increased TILs density and PD-L1 levels are associated with better outcome in laryngeal squamous cell cancer. Assessment of TILs and PD-L1 expression could be useful to predict response to immune checkpoint inhibitors.