Diagnostic and prognostic value of the peripheral natural killer cell levels in gastric cancer

Autor: Xi Chen, Ying Feng, Yu-yan Chen, Qin Sheng Mao, Jia‑Zhou Liu, Yi‑Lin Hu, Wei Lu, Wan Jiang Xue, Peng Ma, Yi Fei Liu
Rok vydání: 2020
Předmět:
Zdroj: Experimental and Therapeutic Medicine
ISSN: 1792-1015
1792-0981
DOI: 10.3892/etm.2020.9101
Popis: Peripheral blood lymphocyte subsets have been reported to be useful as prognostic and/or diagnostic markers for patients with cancer. However, the clinical value of peripheral blood lymphocyte subsets in gastric cancer (GC) has remained elusive. In the present study, peripheral CD3+, CD4+ and CD8+ T lymphocytes, B cells (CD19+), regulatory T cells (Tregs; CD4+CD25+CD127-) and natural killer (NK) cells (CD3-CDl6+CD56+) were detected by flow cytometry in 122 patients with GC, 80 healthy donors (HDs) and 80 patients with gastric ulcer (GU). NK cells (CD56+) were detected by immunohistochemical (IHC) analysis in 20 GC and three GU tissue samples. A receiver-operating characteristic (ROC) curve was used to determine the threshold of the peripheral NK cell level and survival analysis was performed to assess its prognostic value in patients with GC. The results indicated that the peripheral NK cell proportion in patients with GC (18.77%) was significantly higher than that in the HD (12.19%) and GU (12.74%) groups. IHC analysis suggested that the NK level in GC tumor samples was correlated with that in paired serum samples. ROC curve analysis indicated that the peripheral NK cell level (15.16%) was able to effectively identify patients with GC, a diagnostic sensitivity of 75.41% and a specificity of 77.45% were determined. Multivariate logistic regression analysis revealed that the peripheral NK cell level was independently associated with the T stage and survival analysis demonstrated that high levels of peripheral NK cells were associated with poor prognosis of patients with GC. In conclusion, the peripheral NK cell level may be a diagnostic and prognostic marker for patients with GC.
Databáze: OpenAIRE