@article{oai:kanazawa-u.repo.nii.ac.jp:00014244,
 author = {Hirai, Mariko and Kitahara, Hiroko and Kobayashi, Yutaka and Kato, Koroku and Bou-Gharios, George and Nakamura, Hiroyuki and Kawashiri, Shuichi},
 issue = {1},
 journal = {International Journal of Oncology},
 month = {Jan},
 note = {Blockade of the programmed-death 1 receptor (PD-1)/programmed-death ligand (PD-L1) pathway effciently reduces tumour growth and improves survival. Durable tumour regression with blockade of the PD-1/PD-L1 checkpoint has been demonstrated in recent clinical studies. Oral squamous cell carcinoma (OSCC) is highly immunosuppressive, and PD-L1 expression has been proposed as a potential mechanism responsible for this phenotype. Despite the fact that anti-PD-1 treatment can produce durable responses, such therapy appears to beneft only a subset of patients. Thus, it is important to understand the mechanisms underlying regulation of PD-L1 expression in the OSCC microenvironment. In this study, we showed that PD-L1 expression in high-grade invasive OSCC cell lines was lower than that in a low-grade invasive OSCC line and found a close correlation between PD-L1 expression and the epithelial-mesenchymal transition (EMT). PD-L1 expression was upregulated in macrophages and dendritic cells (DCs) in high-grade invasive human OSCC tissues or co-cultured with mesenchymal-phenotype OSCC cells in vitro. TLR4-inhibitory peptide successfully suppressed PD-L1 upregulation on macrophages and DCs co-cultured with mesenchymal-phenotype OSCC cells, suggesting that some EMT-induced tumour antigen is critical for PD-L1 induction on tumour-associated macrophages and DCs. Further studies are necessary to explore the impact of EMT on the tumour immune microenvironment and to identify potential biomarkers for selecting patients who might preferentially beneft from PD-1/PD-L1 blockade or immunotherapies more broadly., Embargo Period 6 months},
 pages = {41--48},
 title = {Regulation of PD-L1 expression in a high-grade invasive human oral squamous cell carcinoma microenvironment},
 volume = {50},
 year = {2017}
}