scholarly journals Increased PD-1-positive macrophages in the tissue of gastric cancer are closely associated with poor prognosis in gastric cancer patients.

2020 ◽  
Author(s):  
Yusuke Kono ◽  
Hiroaki Saito ◽  
Wataru Miyauchi ◽  
Shota Shimizu ◽  
Yuki Murakami ◽  
...  

Abstract Background: Programmed cell death 1 (PD-1) is one of the immune checkpoint molecules that negatively regulate the function of T cells. Although recent studies indicate that PD-1 is also expressed on other immune cells besides T cells, its role remains unclear. This study aims to evaluate PD-1 expression on macrophages and examine its effect on anti-tumor immunity in gastric cancer (GC) patients. Methods : The frequency of PD-1 + macrophages obtained from GC tissue was determined by multicolor flow cytometry (n = 15). Double immunohistochemistry staining of PD-1 and CD68 was also performed to evaluate the correlations among the frequency of PD-1 + macrophages, clinicopathological characteristicus, and prognosis in GC patients (n = 102). Results: The frequency of PD-1 + macrophages was significantly higher in GC tissue than in non-tumor gastric tissue. The phagocytotic activity of PD-1 + macrophages was severely impaired compared with that of PD-1 - macrophages. The 5-year disease specific survival rates in patients with PD-1 + macrophage Low (the frequency of PD-1 + macrophages; < 0.85%) and those with PD-1 + macrophage High (the frequency of PD-1 + macrophages; ≥ 0.85%) were 85.9% and 65.8%, respectively ( P = 0.008). Finally, multivariate analysis showed the frequency of PD-1 + macrophage to be an independent prognostic factor. Conclusions: The function of PD-1 + macrophage was severely impaired and increased frequency of PD-1 + macrophage worsened the prognosis of GC patients. PD-1–PD-L1 therapies may function through a direct effect on macrophages in GC.

2019 ◽  
Author(s):  
Yusuke Kono ◽  
Hiroaki Saito ◽  
Wataru Miyauchi ◽  
Shota Shimizu ◽  
Yuki Murakami ◽  
...  

Abstract Background: Programmed cell death 1 (PD-1) is one of the immune checkpoint molecules that negatively regulate the function of T cells. Although recent studies indicate that PD-1 is also expressed on other immune cells besides T cells, its role remains unclear. This study aims to evaluate PD-1 expression on macrophages and examine its effect on anti-tumor immunity in gastric cancer (GC) patients. Methods: The frequency of PD-1+ macrophages obtained from GC tissue was determined by multicolor flow cytometry (n = 15). Double immunohistochemistry staining of PD-1 and CD68 was also performed to evaluate the correlations among the frequency of PD-1+ macrophages, clinicopathological characteristicus, and prognosis in GC patients (n = 102). Results: The frequency of PD-1+ macrophages was significantly higher in GC tissue than in non-tumor gastric tissue. The phagocytotic activity of PD-1+ macrophages was severely impaired compared with that of PD-1- macrophages. The 5-year disease specific survival rates in patients with PD-1+ macrophageLow (the frequency of PD-1+ macrophages; < 0.85%) and those with PD-1+ macrophageHigh (the frequency of PD-1+ macrophages; ≥ 0.85%) were 85.9% and 65.8%, respectively (P = 0.008). Finally, multivariate analysis showed the frequency of PD-1+ macrophage to be an independent prognostic factor. Conclusions: The function of PD-1+ macrophage was severely impaired and increased frequency of PD-1+ macrophage worsened the prognosis of GC patients. PD-1–PD-L1 therapies may function through a direct effect on macrophages in GC.


2020 ◽  
Author(s):  
Yusuke Kono ◽  
Hiroaki Saito ◽  
Wataru Miyauchi ◽  
Shota Shimizu ◽  
Yuki Murakami ◽  
...  

Abstract Background: Programmed cell death 1 (PD-1) is one of the immune checkpoint molecules that negatively regulate the function of T cells. Although recent studies indicate that PD-1 is also expressed on other immune cells besides T cells, its role remains unclear. This study aims to evaluate PD-1 expression on macrophages and examine its effect on anti-tumor immunity in gastric cancer (GC) patients. Methods : The frequency of PD-1 + macrophages obtained from GC tissue was determined by multicolor flow cytometry (n = 15). Double immunohistochemistry staining of PD-1 and CD68 was also performed to evaluate the correlations among the frequency of PD-1 + macrophages, clinicopathological characteristicus, and prognosis in GC patients (n = 102). Results: The frequency of PD-1 + macrophages was significantly higher in GC tissue than in non-tumor gastric tissue. The phagocytotic activity of PD-1 + macrophages was severely impaired compared with that of PD-1 - macrophages. The 5-year disease specific survival rates in patients with PD-1 + macrophage Low (the frequency of PD-1 + macrophages; < 0.85%) and those with PD-1 + macrophage High (the frequency of PD-1 + macrophages; ≥ 0.85%) were 85.9% and 65.8%, respectively ( P = 0.008). Finally, multivariate analysis showed the frequency of PD-1 + macrophage to be an independent prognostic factor. Conclusions: The function of PD-1 + macrophage was severely impaired and increased frequency of PD-1 + macrophage worsened the prognosis of GC patients. PD-1–PD-L1 therapies may function through a direct effect on macrophages in GC.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jieti Wang ◽  
Ruochen Li ◽  
Yifan Cao ◽  
Yun Gu ◽  
Hanji Fang ◽  
...  

AbstractStudies that examined an association between CD8+T and prognosis in gastric cancer are inconsistent, and a distinct population of CXCR5+CD8+T associated with better overall survival has been reported among various malignancies. Here, we show that the abundance of intratumoral CXCR5+CD8+T cells is associated with better overall survival in patients with gastric cancer. Patients with TNM II + III gastric cancer with higher intratumoral CXCR5+CD8+T cell infiltration are more likely to benefit from adjuvant chemotherapy. Microsatellite-unstable and Epstein–Barr virus positive tumors are enriched with CXCR5+CD8+T cells. Gastric cancer infiltrating CXCR5+CD8+T cells represent a specific subtype of stem-like CD8+T with effector memory feature. Identification of the clinical significance and phenotype of gastric cancer infiltrating CXCR5+CD8+T provides a roadmap for patient stratification and trials of targeted therapies.


2021 ◽  
Author(s):  
Yanling Ma ◽  
WenBo Qi ◽  
BaoHong Gu ◽  
XueMei Li ◽  
ZhenYu Yin ◽  
...  

Abstract Objective: To investigate the association between ILDR1 and prognosis and immune infiltration in gastric cancer. Methods: We analyzed the RNA sequencing data of 9736 tumor tissues and 8587 normal tissues in the TCGA and GTEx databases through the GEPIA2 platform. The expression of ILDR1 in gastric cancer and normal gastric mucosa tissues with GEPIA and TIMER. Clinical subgroup analysis was made through Kaplan-Meier analysis. Analyzed the correlation between ILDR1 and VEGFA expression in gastric cancer, through the gene sequencing data of gastric cancer in TCGA. Explored the relationship between ILDR1 methylation and the prognosis of gastric cancer patients through the MethSurv database. The correlation between ILDR1 and immune cells and the correlation of copy number variation were explored through the TIMER database. Results: ILDR1-high GC patients had a lower PFS and OS. High ILDR1 expression was significantly correlated with tumor grade. There was a negative correlation between the ILDR1 expression and the abundances of CD8+ T, Macrophages and DC and etc. The methylation level of ILDR1 is associated with a good prognosis of gastric cancer. ILDR1 copy number variation was correlated with immune cells, IDLR1 arm-loss was associated with the infiltration of B cells, CD8+ T cells, CD4+ T cells, macrophages, neutrophils, and dendritic cells, and arm-duplication was associated with the infiltration of B cells, CD8+ T cells, CD4+ T cells, macrophages, neutrophils and dendritic cells. Conclusion: The increased expression of ILDR1 is associated with poor prognosis in patients with gastric cancer. ILDR1 can be used as a novel predictive biomarker to provide a new therapeutic target for gastric cancer patients.


2020 ◽  
Vol 21 (11) ◽  
pp. 751-759
Author(s):  
Wei Li ◽  
Weili Wang ◽  
Ping Liao ◽  
Kun Song ◽  
Zhanwei Zhu ◽  
...  

Background: Tumor-infiltrating lymphocytes (TILs) and postoperative chemotherapeutics interact in the tumor micro-environment. This interaction has not been well investigated in gastric cancer. Materials & methods: A total of 129 patients were divided into high or low TILs based on the median number of positive CD3+ and FoxP3+ T cells, which was assessed by immunocytochemistry. Results: Cox regression analysis showed that the stage III disease with shorter overall survival was significant. The analysis showed that high numbers of CD3+ or FoxP3+ T cells have better clinical outcomes in FOLFOX-treated patients. Conclusion: High CD3+ and FoxP3+ T-cell infiltration was associated with better clinical outcomes in patients with gastric cancer treated with FOLFOX, suggesting TILs incorporated into algorithms to improve the therapeutic efficacy of optimal chemotherapy.


2021 ◽  
Vol 10 (1) ◽  
pp. 1915560
Author(s):  
Kaifeng Jin ◽  
Yifan Cao ◽  
Yun Gu ◽  
Hanji Fang ◽  
Yuchao Fei ◽  
...  

2013 ◽  
Vol 23 (2) ◽  
pp. 66-70
Author(s):  
Albertas Daukša ◽  
Antanas Gulbinas ◽  
Aurelija Kazlauskaitė ◽  
Johannes Oldenburg ◽  
Osman El-Maarri

Gastric cancers are usually diagnosed at an advanced stage in the progression of the disease, thus reducing the survival chances of the patients. Non-invasive early detection would greatly enhance therapy and survival rates. For this aim, we investigated tumor suppressor genes CDKN2A/p16, RARBeta, TNFRSF10C, APC, ACIN1, DAPK1, 3OST2, BCL2 and CD44 for methylation changes in peripheral blood leukocytes of gastric cancer patients. This study shows that methylation changes in peripheral blood leukocyte DNA could provide a promising method for the early detection of gastric cancer. However, larger studies are essential to explore the clinical usefulness of a peripheral blood leukocyte DNA methylation based tests for non-invasive early detection of gastric cancer.


Sign in / Sign up

Export Citation Format

Share Document