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Prognostic Impact of Adenosine Receptor 2 (A2aR) and Programmed Cell Death Ligand 1 (PD-L1) Expression in Colorectal Cancer

Authors :
Linsen Shi
Ting Yang
Pei-Cong Shi
Jun Song
Tao Jiang
Lin Yang
Hu Song
Ruizhi Fan
Zhaoying Wu
Source :
BioMed Research International, BioMed Research International, Vol 2019 (2019)
Publication Year :
2019
Publisher :
Hindawi, 2019.

Abstract

Background. Programmed cell death ligand 1 (PD-L1) is a key inhibitor to the immune response by binding to the specific receptor PD-1. Adenosine receptor 2 (A2aR) can play an immunosuppressive role in tumor microenvironment by binding to its ligand adenosine (ADO). However, the expression of these two markers has been rarely studied in colorectal cancer simultaneously.Materials and Methods. We, respectively, collected tumor and adjacent nontumor tissue specimens of 204 patients with colorectal cancer. The expressions of PD-L1 and A2aR were detected by immunohistochemistry. The association among their expressions with clinicopathological characteristics and prognostic parameters were analyzed as well.Results. The expressions of PD-L1 and A2aR in tumor tissues were both higher than those in matched adjacent nontumor tissues. PD-L1 expression was significantly correlated with lymph node metastasis and tumor TNM stage. A2aR expression was significantly correlated with tumor size, depth of tumor invasion, and TNM stage. Univariate analysis showed that the high expressions of PD-L1 and A2aR were inversely correlated with the overall survival, respectively. Multivariate analysis further confirmed that both of them were independent prognostic markers for patients.Conclusion. The results of this study suggested that the high expressions of PD-L1 and A2aR were associated with a poor prognosis of colorectal cancer. Coinhibition of these two proteins may be a new breakthrough in the treatment of this disease.

Details

Language :
English
ISSN :
23146141 and 23146133
Volume :
2019
Database :
OpenAIRE
Journal :
BioMed Research International
Accession number :
edsair.doi.dedup.....b00ffdecf0ca78aadd45ea8c96d6bb55