| 谢晓利,袁春艳,浦文兰,杨媛媛,盛霞.基于生物信息学筛选甲状腺癌关键基因和通路.[J].中南医学科学杂志.,2021,(3):305-309. |
| 基于生物信息学筛选甲状腺癌关键基因和通路 |
| Identification of hub genes and pathways in thyroid carcinoma based on bioinformatics analysis |
| 投稿时间：2021-01-26 修订日期：2021-03-09 |
| DOI：10.15972/j.cnki.43-1509/r.2021.03.012 |
| 中文关键词: 甲状腺癌 生物信息学分析 关键基因 基因芯片 |
| 英文关键词:thyroid carcinoma bioinformatics analysis hub genes gene chip |
| 基金项目: |
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| 中文摘要: |
| 目的探讨甲状腺癌(TC)发生发展的潜在生物学功能,筛选TC的关键基因和通路。方法从GEO数据库中下载3组基因芯片数据集,分析TC组织与正常组织差异表达基因(DEGs),利用多种在线分析软件对DEGs进行功能富集、通路分析、构建蛋白质互作网络、筛选关键基因,然后采用TCGA数据库对关键基因进行验证及生存分析。结果3组数据集分析得出410个共同DEGs,其中159个基因上调,251个基因下调。DEGs与癌症中的蛋白聚糖、P53信号通路、ECM-受体相互作用、细胞周期等信号通路有密切关系。筛选出14个关键基因,分别是CCNB2、FN1、MMP9、TIMP1、CXCL8、VCAN、EVA1A、LGALS1、KIF15、KIF20A、KIF4A、TOP2A、JUN和SDC2,其中MMP9、SDC2、KIF15和VCAN影响患者生存率,提示可以作为TC的潜在预后标志物。结论利用生物信息学方法筛选出14个关键基因和通路,可能有助于甲状腺癌的早期分子诊断与基因靶向治疗。 |
| 英文摘要: |
| To investigate the underlying biological functions and pathways involved in the development of thyroid carcinoma(TC) and to identify hub genes and pathways of TC. MethodsThree groups of TC expression profile data were downloaded from the GEO database and the differentially expression genes(DEGs) of TC tissues and normal tissues were screened. The DEGs were performed by a variety of online analysis software, such as enrichment analysis, pathway analysis, protein-protein interaction network analysis and screening of the hub genes. Then TCGA database was used to verify the hub genes and analyze the survival of hub genes. ResultsA total of 410 DEGs were obtained, including 159 up-regulated genes and 251 down-regulated genes. DEGs is closely related to proteoglycans in cancer, p53 signal pathway, ECM- receptor interaction and cell cycle. Fourteen hub genes were screened, including CCNB2, FN1, MMP9, TIMP1, CXCL8, VCAN, EVA1A, LGALS1, KIF15, KIF20A, KIF4A, TOP2A, JUN and SDC2. Then MMP9, SDC2, KIF15 and VCAN affect the survival rate of patients and can be used as potential prognostic markers of TC.ConclusionFourteen hub genes and pathways were screened by bioinformatics analysis, which may be helpful for early molecular diagnosis and gene targeted therapy of TC. |
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