大理大学学报

• 基础医学 • 上一篇    下一篇

利用数据挖掘技术分析HIF-1α 在胃癌中的预后意义

  

  1. (1. 大理大学基础医学院,云南大理671000;2. 大理大学第三附属医院病理科,云南大理671000;
    3. 云南大学生命科学学院,昆明530061)
  • 收稿日期:2017-07-01 出版日期:2018-02-15 发布日期:2018-02-15
  • 作者简介:孙美涛,硕士研究生,主要从事肿瘤病理学研究.
  • 基金资助:
    国家自然科学基金资助项目(81560458;31601155);云南省中青年学术技术带头人后备人才资助项目(2017HB077);
    大理大学大学生创新创业训练计划资助项目(X-CXCY-2016-13)

Analysis of the Prognostic Roles of HIF-1α in Gastric Carcinoma Using Data Mining Technology

  1. (1. Pre-clinical College, Dali University, Dali, Yunnan 671000, China; 2. Department of Pathology, The Third Affiliated Hospital of
    Dali University, Dali, Yunnan 671000, China; 3. College of Life Sciences, Yunnan University, Kunming 530061, China)
  • Received:2017-07-01 Online:2018-02-15 Published:2018-02-15

摘要: 目的:基于数据挖掘分析缺氧诱导因子-1α(Hypoxia-inducible factor-1α,HIF-1α)基因在胃癌中的表达及预后意义。
方法:利用Oncomine数据库对HIF-1α基因在胃癌中的表达进行荟萃分析;利用cBioportal在线工具分析TCGA数据库中HIF-1α
在胃癌中的突变情况;利用Kaplan-Meier Plotter数据库分析HIF-1α 表达对胃癌患者生存时间的影响。结果:Oncomine数据库
荟萃分析发现,共有12项研究涉及HIF-1α 在胃癌和正常组织中的表达,包括798例临床样本,与对照组相比,HIF-1α 在胃癌
中高表达,差异具有统计学意义(P=0.000 216)。Kaplan-Meier Plotter数据库分析发现,肠型、弥漫型及混合型胃癌患者中,与
HIF-1α 高表达组相比,HIF-1α 低表达组胃癌患者的累积存活时间均显著延长(HR<1.0,P<0.05)。结论:通过数据挖掘,提
示HIF-1α 基因在胃癌组织中高表达,且是胃癌患者预后的保护因素。

关键词: HIF-1α, 胃癌, 数据挖掘, 预后

Abstract: Objective: To analyze the prognostic roles of HIF-1α expression in gastric carcinoma based on data mining. Methods:
Using Oncomine database to analyze the expression of HIF-1α in gastric carcinoma. Using cBioportal online tool to analyze the gene
mutation of HIF-1α in gastric carcinoma. Using Kaplan-Meier Plotter database to analyze the prognostic roles of HIF-1α in gastric
carcinoma patients. Results: A total of 12 studies were involved HIF-1α in gastric carcinoma tissues and normal tissues, including 798
samples. Overall, using Kaplan Meier-Plotter database to analyze the prognostic roles of HIF- 1α in gastric carcinoma patients, the
results showed that high HIF-1α expression could improve the survival time of the patients with intestinal type gastric, with diffused
gastric carcinoma, or with mixed type gastric carcinoma, respectively(HR<1.0, P<0.05). Conclusion: Through data mining, it is
suggested that HIF- 1α is highly expressed in gastric carcinoma tissue, and the prognosis of patients with gastric carcinoma was
strongly correlated with the HIF-1α expression. HIF-1α is the protective factor for the prognosis of gastric cancer.

Key words: HIF-1α, gastric cancer, data mining, prognosis