Expression of multiple immune checkpoint molecules on T cells in malignant ascites from epithelial ovarian carcinoma.
Oncol Lett
; 15(5): 6457-6468, 2018 May.
Article
em En
| MEDLINE
| ID: mdl-29616115
ABSTRACT
Expression of immune checkpoint molecules, including programmed cell death protein-1 (PD-1), has been reported on T cells in various types of cancer. However, the expression status of these molecules in the tumor microenvironment of epithelial ovarian cancer (EOC) has not yet been studied. A total of 54 cases of malignant ascites from patients with EOC were analyzed in the present study. The expression of PD-1, lymphocyte-activation gene-3 (LAG-3), T-cell immunoglobulin and mucin-domain containing-3 (TIM-3) and B and T lymphocyte attenuator (BTLA) on cluster of differentiation (CD)4+ and CD8+ T cells in malignant EOC ascites were investigated using multicolor flow cytometric analysis. The expression of PD-L1 in tumor cells, PD-L2 in HLA-DR-positive cells and galectin-9 in ascitic fluid was also analyzed. In addition, cytokine profiling of ascitic fluid was performed to understand the immune microenvironment of EOC. PD-1, LAG-3 TIM-3, and BTLA were expressed on 65.8, 10.6, 4.3 and 37.6% of CD4+ T cells, and on 57.7, 5.0, 4.9 and 15.7% of CD8+ T cells, respectively. Programmed cell death protein-1 (PD-1), LAG-3 and BTLA were more frequently expressed on CD4+ compared with CD8+ T cells. The co-expression of immune checkpoints was further investigated and results indicated that 39 (72.2%) and 37 patients (68.5%) expressed multiple immune checkpoints on CD4+ T cells and CD8+ T cells, respectively. In addition, lower levels of TNF-α and interleukin-6 in ascitic fluid were significantly associated with multiple immune checkpoint expression on CD8+ T cells. The present findings indicated that multiple immune checkpoint molecules were expressed on T cells in the EOC tumor microenvironment and the results may suggest the significance of simultaneous blockade of immune checkpoints to control EOC.
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1
Coleções:
01-internacional
Base de dados:
MEDLINE
Idioma:
En
Revista:
Oncol Lett
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
Japão