[HTML][HTML] Expression patterns of programmed death ligand 1 correlate with different microenvironments and patient prognosis in hepatocellular carcinoma

CQ Liu, J Xu, ZG Zhou, LL Jin, XJ Yu, G Xiao… - British journal of …, 2018 - nature.com
CQ Liu, J Xu, ZG Zhou, LL Jin, XJ Yu, G Xiao, J Lin, SM Zhuang, YJ Zhang, L Zheng
British journal of cancer, 2018nature.com
Background Recent clinical studies have suggested that programmed death ligand 1 (PD-
L1) expression in a tumour could be a potential biomarker for PD-L1/PD-1 blockade
therapies. Methods To better characterise PD-L1 expression in hepatocellular carcinoma
(HCC), we analysed its expression patterns in 453 HCC patients by double staining for
CD68 and PD-L1 using the Tyramide Signal Amplification Systems combined with
immunohistochemistry. We also investigated its correlation with clinical features, prognosis …
Background
Recent clinical studies have suggested that programmed death ligand 1 (PD-L1) expression in a tumour could be a potential biomarker for PD-L1/PD-1 blockade therapies.
Methods
To better characterise PD-L1 expression in hepatocellular carcinoma (HCC), we analysed its expression patterns in 453 HCC patients by double staining for CD68 and PD-L1 using the Tyramide Signal Amplification Systems combined with immunohistochemistry. We also investigated its correlation with clinical features, prognosis and immune status.
Results
The results showed that PD-L1 expression on tumour cells (TCs) was negatively associated with patients’ overall survival (OS; P = 0.001) and relapse-free survival (RFS; P = 0.006); however, PD-L1 expression on macrophages (Mφs) was positively correlated with OS (P = 0.017). Multivariate analysis revealed that PD-L1 expression on TCs and Mφs were both independent prognostic factors for OS (hazard ratio (HR) = 1.168, P = 0.004 for TC-PD-L1; HR = 0.708, P = 0.003 for Mφ-PD-L1). Further studies showed that Mφ-PD-L1+ tumours exhibited an activated immune microenvironment, with high levels of CD8+ T-cell infiltration and immune-related gene expression.
Conclusion
Our study provided a novel methodology to evaluate PD-L1 expression in the tumour microenvironment, which might help to select patients who would benefit from anti-PD-1/PD-L1 immunotherapies.
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