中国口腔颌面外科杂志 ›› 2023, Vol. 21 ›› Issue (5): 452-460.doi: 10.19438/j.cjoms.2023.05.005

• 论著 • 上一篇    下一篇

基于生物信息学分析筛选舌鳞癌的关键基因

曾慧, 江花香, 胡彦昌, 杨丰瑞, 王军   

  1. 南昌大学第二附属医院 口腔科,江西 南昌 330000
  • 收稿日期:2023-02-24 修回日期:2023-05-12 出版日期:2023-09-20 发布日期:2023-10-11
  • 通讯作者: 王军,E-mail: 273495280@qq.com
  • 作者简介:曾慧(1995-),女,硕士研究生,E-mail: 1134869423@qq.com
  • 基金资助:
    江西省重点研发计划项目(20192BBG70023)

Screening of hub genes in tongue squamous cell carcinoma based on bioinformatics analysis

ZENG Hui, JIANG Hua-xiang, HU Yan-chang, YANG Feng-rui, WANG Jun   

  1. Department of Stomatology, The Second Affiliated Hospital of Nanchang University. Jiangxi 330000, Nanchang Province, China
  • Received:2023-02-24 Revised:2023-05-12 Online:2023-09-20 Published:2023-10-11

摘要: 目的:利用生物信息学方法筛选舌癌的关键基因,探讨其与舌癌进展相关的潜在功能和通路机制。方法:分析微阵列数据集GSE13601,筛选出差异表达基因。利用注释、可视化和集成发现数据库(DAVID)进行基因本体论(GO)及京都基因和基因组百科全书(KEGG)通路分析。利用STRING数据库构建蛋白质相互作用网络、癌症基因组图谱数据库(TCGA)测序数据评估舌癌关键基因的表达。结果:共筛选出101个差异表达基因及20个关键基因,进一步研究发现,MYH2MYLPFNEBACTN2DESTMP2等关键基因影响舌癌患者的生存率,并且MYH2MYLPFACTN2DESTPM2TNNC1MYL1MYH7TNNI2等基因的表达与舌癌的临床分期相关。结论:MYH2MYLPFNEBACTN2DESTMP2MYL1TNNC1MYH7TNNI2可能参与舌癌的发生、发展,具备成为舌癌潜在生物标志物和治疗靶点的潜力。

关键词: 舌鳞癌, 关键基因, 生物标志物, 生物信息分析

Abstract: PURPOSE: To screen hub genes for tongue squamous cell carcinoma(TSCC) by bioinformatic methods and explore their potential functional and pathway mechanisms associated with TSCC progression. METHODS: The microarray datasets GSE13601 was analysed to screen out the differentially expressed genes. The database for Annotation, Visualization, and Integrated Discovery (DAVID) was used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. STRING database was used to construct protein interaction networks, and the abnormal expression of key genes in TSCC was assessed by sequencing data from The Cancer Genome Atlas (TCGA) database. RESULTS: A total of 101 differentially expressed genes and 20 key genes were screened, and further studies revealed that key genes such as MYH2, MYLPF, NEB, ACTN2, DES and TMP2 affected the survival rate of TSCC patients, and the expression of MYH2, MYLPF, ACTN2, DES, TPM2, TNNC1, MYL1, MYH7 and TNNI2 correlated with the clinical stage of TSCC. CONCLUSIONS: MYH2, MYLPF, NEB, ACTN2, DES, TMP2, TNNC1, TPM2, MYH7 and TNNI2 may participate in the development of TSCC and have the potential to become biomarkers and therapeutic targets for TSCC.

Key words: Tongue squamous cell carcinoma, Hub genes, Biomarkers, Bioinformatic analysis

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