Title |
Co-expression of PD-1 and PD-L1 predicts poor outcome in nasopharyngeal carcinoma
|
---|---|
Published in |
Medical Oncology, February 2015
|
DOI | 10.1007/s12032-015-0501-6 |
Pubmed ID | |
Authors |
Jianwei Zhang, Wenfeng Fang, Tao Qin, Yunpeng Yang, Shaodong Hong, Wenhua Liang, Yuxiang Ma, Hongyun Zhao, Yan Huang, Cong Xue, Peiyu Huang, Zhihuang Hu, Yuanyuan Zhao, Li Zhang |
Abstract |
Tumor immune evasion is a hallmark of cancer. The programmed death-1/programmed death-ligand 1 (PD-1/PD-L1) pathway has been suggested to play an important role in T cell tolerance and tumor immune escape. In this study, we aimed to evaluate the correlation between the expression of PD-1/PD-L1 and the post-treatment outcome in patients with nasopharyngeal carcinoma (NPC). Formalin-fixed, paraffin-embedded tissue biopsies from 139 patients with histological diagnosis of NPC treated with conventional chemoradiotherapy were studied. By using immunohistochemistry staining, expressions of PD-1 on tumor-infiltrating lymphocyte and PD-L1 on tumor tissue were detected. The staining results were evaluated with H-score. The correlation between PD-1/PD-L1 expression and clinical characteristics and post-treatment outcome were analyzed. PD-1(+) immune cell were present in 52 of these 139 tumors (37.4 %). PD-L1 expression was detected in 132 patients (95.0 %), which located on tumor tissue. High expression of PD-L1 (median H-score >35) in tumor tissue significantly correlated with a poor prognosis of disease-free survival (P = 0.009). Co-expression of PD-1 and PD-L1 in NPC at diagnosis correlated with the poorest prognosis of disease-free survival (P = 0.038). PD-1/PD-L1 co-expression reflected the selective suppression of cytotoxic lymphocytes in the tumor microenvironment and predicted recurrence and metastasis of NPC after conventional therapies. Blocking this pathway in patients with co-expression of PD-1/PD-L1 provides a potential therapy target for NPC. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 2% |
Unknown | 59 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 9 | 15% |
Student > Ph. D. Student | 7 | 12% |
Researcher | 7 | 12% |
Student > Master | 7 | 12% |
Other | 6 | 10% |
Other | 11 | 18% |
Unknown | 13 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 21 | 35% |
Biochemistry, Genetics and Molecular Biology | 10 | 17% |
Agricultural and Biological Sciences | 7 | 12% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
Immunology and Microbiology | 2 | 3% |
Other | 1 | 2% |
Unknown | 16 | 27% |