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Expression And Clinical Significance Of Chemokine CXCL10 In Glioma: Evidence From Bioinformatics Analysis

Posted on:2021-01-02Degree:MasterType:Thesis
Country:ChinaCandidate:Q Q ZhangFull Text:PDF
GTID:2504306032483994Subject:Oncology
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Objective: Glioma is the most common primary intracranial tumor in the central nervous system.The CXC chemokine subfamily is closely related to the occurrence and development of tumor.CXC motif chemokine 10(CXCL10),also known as interferon-mis-inducible protein 10(ip-10),is a member of chemokine family.It functions mainly by binding to receptors,including chemokines,inhibiting angiogenesis and regulating cell growth and proliferation.CXCL10 is involved in the growth and metastasis of various tumors,but its role in glioma has not been reported in large samples.In this study,we analyzed the expression of CXCL10 in glioma by bioinformatics analysis,and explored the influence of CXCL10 on the occurrence,development and prognosis of glioma to find a new molecular target for clinical accurate treatment.Materials and Methods: In our study,the glioma gene expression profile chip GSE68848 was downloaded from GEO database to analyze the expression differences of the CXC chemokine subfamily in glioma and paracancer tissues,screen the differentially expressed chemokines.After searching the relevant literature,we select CXCL10,which is rarely reported in glioma,for further study after literature search.Then,750 and 664 Glioma samples were included from Chinese Glioma Genome Atlas(CGGA)database and cancer gene Atlas(TCGA)database,respectively.Perform CXCL10 bioinformatics analysis and clinical correlation analysis in different types of gliomas,and the related biological functions of CXCL10 were speculated by Gene ontology(GO)analysis and enrichment analysis of Kyoto encyclopedia of genes and genomes(KEGG)pathway.A further 34 samples of clinical glioma tissues were collected,and their correlation was verified again using Western Blot and immunohistochemistry.Results:1.Compared with the normal brain tissues,CXCL1 m RNA and CXCL14 m RNA in the CXC chemokine subfamily were significantly down-regulated in glioma,while CXCL10 m RNA and CXCL16 m RNA were significantly up-regulated(P < 0.001).2.TIMER database analysis showed that compared with the para-cancer tissues,CXCL10 m RNA expression was increased in multiple tumors.3.CGGA and TCGA database analysis showed that CXCL10 m RNA expression level increased with the increase of WHO grade in glioma.CXCL10 m RNA expression level was the highest in GBM,which significantly higher than that in grade II and III glioma(P < 0.01).4.Compared to primary glioma,CXCL10 m RNA expression level was significantly increased in the recurrent glioma(P < 0.01).5.Compared with IDH mutant glioma,CXCL10 m RNA expression level was significantly increased in IDH wild-type glioma(P < 0.01).6.CXCL10 m RNA was negatively correlated with the prognosis of glioma patients,and the overall survival rate(OS)of patients with high expression of CXCL10 m RNA was significantly lower than that of patients with low expression of CXCL10(P < 0.05).CXCL10 is an independent factor affecting the prognosis of glioma patients.7.Among GBM patients receiving radiotherapy or chemotherapy,the OS of patients with low expression of CXCL10 m RNA was significantly better than those with high expression(P < 0.05).8.GO analysis showed that genes positively correlated with CXCL10 were mainly enriched in the biological processes of T cell activation,neutrophil activation and neutrophil mediated immunity.KEGG analysis was mainly concentrated in molecular pathways such as NF-κB pathway,Th17 cell differentiation and TNF signaling pathway.9.The results of Western Blot and immunohistochemical analysis of clinical samples were identical to the results of bioinformatics analysis.Conclusion:1.The m RNA expression of CXCL10 is different in a variety of tumors,and it is up-regulated in glioma,and the expression level increases with the increase of the malignant degree of glioma.2.The high expression of CXCL10 is closely associated with poor prognosis of glioma patients,it is an independent risk factor affecting the prognosis of patients.
Keywords/Search Tags:CXCL10, glioma, prognosis, bioinformatics analysis
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