[1]张鑫浩,张涛元,李 俏,等.基于GEO 芯片数据的肝癌关键生物标志物的筛选与鉴定及生物信息学分析[J].现代检验医学杂志,2020,35(04):26-31.[doi:10.3969/j.issn.1671-7414.2020.04.007]
 ZHANG Xin-hao,ZHANG Tao-yuan,LI Qiao,et al.Screening, Identification and Bioinformatics Analysis of Key Biomarkers for Hepatocellular Carcinoma Based on GEO Chip Data[J].Journal of Modern Laboratory Medicine,2020,35(04):26-31.[doi:10.3969/j.issn.1671-7414.2020.04.007]
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基于GEO 芯片数据的肝癌关键生物标志物的筛选与鉴定及生物信息学分析()
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《现代检验医学杂志》[ISSN:/CN:]

卷:
第35卷
期数:
2020年04期
页码:
26-31
栏目:
论 著
出版日期:
2020-09-05

文章信息/Info

Title:
Screening, Identification and Bioinformatics Analysis of Key Biomarkers for Hepatocellular Carcinoma Based on GEO Chip Data
文章编号:
1671-7414(2020)04-026-06
作者:
张鑫浩1张涛元1李 俏2祝撷英2曹三成2吴 爽2
(1. 日照心脏病医院,山东日照 276800;2. 西安交通大学附属儿童医院, 西安 710003)
Author(s):
ZHANG Xin-hao1ZHANG Tao-yuan1LI Qiao2ZHU Xie-ying2CAO San-cheng2WU Shuang2
(1.Rizhao International Heart Hospital,Shandong Rizhao 276800,China;2.the Affiliated Children Hospital of Xi’an Jiaotong University,Xi’an 710003,China)
关键词:
肝癌差异表达基因生物信息学分析
分类号:
R735.7;R730.43
DOI:
10.3969/j.issn.1671-7414.2020.04.007
文献标志码:
A
摘要:
目的 基于生物信息学分析方法,获取与正常肝组织具有表达差异、且与肝癌患者生存、病理参数密切相关的肝癌基因。方法 通过GEO 数据库获取三组肝癌芯片表达谱,利用GEO2R 鉴定肝癌组织与正常肝组织具有表达差异的基因;应用DAVID 数据库,富集差异表达基因;使用STRING 数据库及Scytoscape 软件,构建核心差异基因的蛋白质互作网络(protein-protein interaction,PPI),并通过UCSC Cancer Genomics Browser 网站在TCGA 数据库中验证关键差异基因在肝癌中的表达情况;基于Kaplan Meier-Plotter 及UALCAN 在线分析工具,挖掘关键基因在肝癌组织中的mRNA 表达与临床病理参数的关系。结果 从三个芯片数据集中鉴定出74 个共同差异表达基因;这些基因显著富集在细胞外小体、细胞外间隙、氧化还原等生物过程;PPI 网络分析共聚焦到15 个基因,其中8 个基因与肝癌患者的总生存率相关,5 个基因与肝癌的分级、分期相关。 结论 ANLN, ECT2, HMMR, KIF20A, NCAPG, PBK, RACGAP1 和ZWINT 等基因可作为肝癌诊断和治疗的候选靶点,为临床诊治提供新的思路。

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备注/Memo

备注/Memo:
收稿日期:2020-03-19 修回日期:2020-04-27基金项目:陕西省社会发展科技攻关项目(NO.2016SF-036);西安交通大学基本科研业务费自由探索与创新- 教师类项目(NO.XZY0120 19129)。作者简介:张鑫浩(1983-),男,本科,主治医师,研究方向:围手术期心肌保护。通讯作者:吴爽,女,硕士,主治检验技师,研究方向:TSC22D2 通过蛋白交互网络参与肿瘤糖代谢发挥抑制肿瘤功能的机制研究。
更新日期/Last Update: 2020-10-08