癌变·畸变·突变 ›› 2018, Vol. 30 ›› Issue (6): 457-462.doi: 10.3969/j.issn.1004-616x.2018.06.008

• 论著 • 上一篇    下一篇

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

董强1, 解琪琪2, 胡建宏1, 王茂林1, 袁国强3, 潘亚文1,3   

  1. 1. 兰州大学第二医院神经外科, 甘肃 兰州 730030;
    2. 兰州大学第二医院骨科, 甘肃 兰州 730030;
    3. 兰州大学第二医院神经病学研究所, 甘肃 兰州 730030
  • 收稿日期:2018-06-27 修回日期:2018-10-14 出版日期:2018-11-30 发布日期:2018-11-30
  • 通讯作者: 潘亚文,E-mail:panyw2018@163.com E-mail:panyw2018@163.com
  • 作者简介:董强,E-mail:dongq16@lzu.edu.cn。
  • 基金资助:
    国家自然科学基金项目(81771297);甘肃省卫生行业科研计划项目(GSWSKY-2015-58);兰州市科技项目(2018-1-109)

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

DONG Qiang1, XIE Qiqi2, HU Jianhong1, WANG Maolin1, YUAN Guoqiang3, PAN Yawen1,3   

  1. 1. Department of Neurosurgery, Second Hospital of Lanzhou University, Lanzhou 730030;
    2. Department of Orthopaedics, Second Hospital of Lanzhou University, Lanzhou 730030;
    3. Institute of Neurology, Lanzhou University, Lanzhou 730030, Gansu, China
  • Received:2018-06-27 Revised:2018-10-14 Online:2018-11-30 Published:2018-11-30

摘要: 目的:分析胶质瘤与正常组织表达差异的基因,筛选和胶质瘤预后相关的关键基因。方法:通过下载GEO(Gene Expression Omnibus)数据库GSE15824原始数据,利用R语言分析正常组织与胶质瘤组织中差异表达的基因,通过生物信息学分析工具(DAVID、String、Cytoscape、oncomine和GEPIA)对差异表达的基因进行生物学功能、蛋白互作网络(PPI)分析及筛选胶质瘤的预后标志物。结果:共筛选出648个差异表达的mRNAs。差异表达mRNAs的生物学功能主要富集于T细胞的激活,调节白细胞的黏附和细胞的迁移。KEGG信号通路分析显示差异基因主要富集于PI3K/Akt,MAPK和钙离子信号通路。FPR1在胶质瘤中明显高表达,其表达水平与胶质瘤的预后呈负相关(Log-rank P < 0.01)。结论:通过基因芯片数据库的分析,FPR1在胶质瘤中高表达,且与患者生存预后相关,为进一步分子机制的研究提供了新思路。

关键词: 胶质瘤, 生物信息学, 基因芯片, 甲酰肽受体1

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

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