scholarly journals CD38 Predicts Favorable Prognosis by Enhancing Immune Infiltration and Antitumor Immunity in the Epithelial Ovarian Cancer Microenvironment

2020 ◽  
Vol 11 ◽  
Author(s):  
Ying Zhu ◽  
Zhigang Zhang ◽  
Zhou Jiang ◽  
Yang Liu ◽  
Jianwei Zhou
2021 ◽  
pp. 67-78
Author(s):  
Varvara Nikolaevna Zhurman ◽  
Natalia Gennadevna Plekhova ◽  
Ekaterina Valeryevna Eliseeva

The article is a review of the literature, which analyzes the data on the role of cells of the immune system, cytokines and other biologically active substances secreted by them in the interstitial space of an ovarian tumor. The emphasis is made on the mechanism of realization by immune cells of the stimulating and suppressing action on the development of the tumor. Considerable attention is paid to the prognostic role of immune cells in the development of epithelial ovarian cancer.


2007 ◽  
Vol 67 (21) ◽  
pp. 10117-10122 ◽  
Author(s):  
Lingeng Lu ◽  
Dionyssios Katsaros ◽  
Irene A. Rigault de la Longrais ◽  
Olga Sochirca ◽  
Herbert Yu

2021 ◽  
Author(s):  
chanyuan li ◽  
Ting Wan ◽  
Ting Deng ◽  
Junya Cao ◽  
He Huang ◽  
...  

Abstract Background: Epithelial ovarian cancer is nowadays one of the malignancies in women, this study aimed to identify novel biomarkers to predict prognosis and immunotherapy efficacy.Methods: The differentially expressed genes (DEGs) obtained from online database Gene Expression Omnibus (GEO)were screened via GEO2R and Venn diagram software, gene enrichment was analysed by Gene Ontology(GO) function and Kyoto Encyclopedia of Genes and Genomes(KEGG), then protein protein interaction(PPI)network and Cytoscape software were used to confirm the genes closely related to ovarian cancer. Survival analysis of hub genes were obtained from Kaplan–Meier plotter, with their differential expression in specimen validated by Gene Expression Profiling Interactive Analysis (GEPIA) and an integrated repository portal for tumor-immune system interactions (TISIDB). Finally, we used the Tumor Immune Estimation Resource 2.0 (TIMER2.0) and application Estimate the Proportion of Immune and Cancer cells (EPIC) to search the immune infiltration characteristics of the genes.Results: 355 DEGs between epithelial ovarian cancer and normal ovarian tissue were screened out. These DEGs were associated with extracellular exosome, bicellular tight junction and cell-cell junction, and remarkably enriched in molecules of cell adhesion and leukocyte transendothelial migration activity. Ten hub genes were identified via protein protein interaction (PPI) network: PTAFR, HLA-DRA, OAS2, OAS3, PTPN6, LYN, VAMP8, IRF6, ITGB2, CD47. Furthermore, the Kaplan–Meier plotter was conducted, overexpression of four genes was positively connected to poor prognosis in ovarian cancer:OAS2, OAS3, ITGB2, CD47,which were also correlated with immune infiltrates in ovarian cancer and had the highest degree of correlation with tumor associated macrophages (TAMs) infiltration, among which ITGB2 was highly correlated with TAMs infiltration level.Conclusion: ITGB2, OAS2, OAS3, and CD47 are upregulated with unfavorable prognosis in ovarian cancer, and ITGB2 may act as a novel prognostic biomarker with immune infiltration values.


2018 ◽  
Vol 245 (3) ◽  
pp. 141-148 ◽  
Author(s):  
Zunxian Yang ◽  
Hongwei Shen ◽  
Weipeng He ◽  
Linlong Ouyang ◽  
Yunyun Guo ◽  
...  

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