生物学杂志

生物学杂志 ›› 2021, Vol. 38 ›› Issue (1): 18-.doi: 10.3969/j.issn.2095-1736.2021.01.018

• 研究报告 • 上一篇    下一篇

联合CGGA-TCGA数据库挖掘胶质瘤显著生存相关基因

  

  1. 1. 哈尔滨医科大学 生物信息科学与技术学院， 哈尔滨 150081；2. 哈尔滨医科大学附属第四医院， 哈尔滨 150081
  • 出版日期:2021-02-18 发布日期:2021-02-22
  • 通讯作者: 陈丽娜，硕士，教授，研究方向为生物物理学，E-mail: chenlina@ems.hrbmu.edu.cn
  • 作者简介:吕俊杰，博士，讲师，研究方向为生物信息学，E-mail:lvjunjie525@126.com
  • 基金资助:
    黑龙江省卫生厅基金项目（2018478）

Identification of genes associated with cancer prognosis in glioma based on Chinese glioma genome atlas and the cancer genome atlas databases#br#

  1. 2. The Fourth Affiliated Hospital, Harbin Medical University, Harbin 150081, China1. College of Bioinformatics Science and Technology， Harbin medical University, Harbin 150081, China;
  • Online:2021-02-18 Published:2021-02-22

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摘要： 利用CGGA与TCGA数据库，挖掘胶质瘤预后标志相关基因，结合差异分析、生存分析、共表达分析、临床相关性分析和ROC曲线评估预测能力，并通过TCGA验证，得到PLAT、IGFBP2、BCAT1和SERPINH1等4个可以作为独立预后标志因子的基因。分析表明，这4个基因不仅是独立的预后因子，还在不同人群中都具有较好的预后预测能力，说明找到的预后基因具有潜在的应用价值。对SERPINH1剪接事件进行分析，揭示可变剪接事件是影响患者预后的重要因素，这为进一步理解胶质瘤预后基因的特征提供了依据。

关键词: 胶质瘤, 生存分析, 预后因子, 选择性剪接

Abstract: CGGA(Chinese glioma genome atlas) and TCGA(the cancer genome atlas) databases were used to mine glioma prognostic marker-related genes, combined with differential analysis, survival analysis, co-expression analysis, clinical correlation analysis and ROC curve to evaluate the predictive ability, and TCGA verification, PLAT, IGFBP2, BCAT1 and SERPINH1 genes that can be used as independent prognostic markers were got. The analysis showed that these four genes not only are independent prognostic factors, but also have good prognostic prediction ability in different populations, indicating that those genes have potential application value. Then the analysis of SERPINH1 splicing events reveals that they are important factors affecting the prognosis of patients, which will provide a basis for further understanding the characteristics of prognostic genes in glioma.

Key words: lioma, survival analysis, prognostic marker gene, alternative splicing

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