基于生物信息学方法分析甲酰肽受体1在胶质瘤中的表达及临床意义

doi:10.3969/j.issn.1004-616x.2018.06.008

Abstract

Abstract: OBJECTIVE: To identify differentially expressed genes in gliomas which were related to their prognosis. METHODS: Raw data of the GEO (Gene Expression Omnibus) database GSE15824 involving normal and glioma tissues were analyzed using R language,and bioinformatics analysis tools (DAVID,String,Cytoscape,oncomine,and GEPIA). Differentially expressed genes were subjected to biological function,protein interaction analysis,and screening for prognostic markers of gliomas. RESULTS: A total of 648 differentially expressed mRNAs, including 471 up-regulated mRNAs and 177 down-regulated mRNAs were screened. Biological functions of these differential genes were mainly enriched in the activation of T cells,and regulation of adhesion of leukocytes and of cell migration. The KEGG signaling pathway was mainly enriched in PI3K/Akt,MAPK,and calcium signaling pathways. Formyl peptide receptor 1 was highly expressed in gliomas,and the expression level was negatively correlated with the prognosis of gliomas (Log-rank P < 0.01). CONCLUSION: Through the analysis of gene expression microarray analysis,FPR1 was highly expressed in gliomas and was related to patients' survival. The observations provide new ideas for further molecular investigations.

Key words: glioma, bioinformatics, gene chip, formyl peptide receptor 1

CLC Number:

R739.41

DONG Qiang, XIE Qiqi, HU Jianhong, WANG Maolin, YUAN Guoqiang, PAN Yawen. Bioinformatic analysis of expression and clinical significance of formyl peptide receptor 1 in gliomas[J]. Carcinogenesis, Teratogenesis & Mutagenesis, 2018, 30(6): 457-462.

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Bioinformatic analysis of expression and clinical significance of formyl peptide receptor 1 in gliomas

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