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基于生信分析对舌鳞状细胞癌关键基因及药物靶点的预测研究

刘伟龙 王玉凤 陈晓璇 殷斌 鲁勇

临床口腔医学杂志2025,Vol.41Issue(7):387-393,7.
临床口腔医学杂志2025,Vol.41Issue(7):387-393,7.DOI:10.3969/j.issn.1003-1634.2025.07.002

基于生信分析对舌鳞状细胞癌关键基因及药物靶点的预测研究

Key genes and drug targets prediction of tongue squamous cell carcinoma based on bioinformatics analysis

刘伟龙 1王玉凤 1陈晓璇 1殷斌 1鲁勇1

作者信息

  • 1. 南京大学医学院附属口腔医院,南京市口腔医院口腔颌面外科,南京大学口腔医学研究所 江苏 南京 210008
  • 折叠

摘要

Abstract

Objective:Based on microarray data,bioinformatics analysis was used to identify key genes and signaling pathway,to investigate possible molecular mechanism,and to predict drug targets related to tongue squamous cell carcinoma(TSCC).Methods:Firstly,gene microarray datasets consisting of TSCC patients and normal controls(GSE13601 and GSE34106)were screened from the GEO database.By means of the gene expression analysis tool(GEO2R),differentially ex-pressed genes(DEGs)were identified based on the criteria of|log FC(fold change)|>1 and P<0.05.GEO2R was used to screen up-regulated DEGs in the candidate samples with P<0.05 as the threshold.Subsequently,Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis,Gene Ontology(GO)functional analysis,and protein-protein interaction(PPI)network analysis were performed.The candidate genes were intersected with relevant genes from the MalaCards database,and their clinical significance was investigated in combination with the literature.Finally,feature gene-guided chemical or targeted drug predictions were performed using the comparative toxicogenomics database(CTD).Results:In the GSE13601 dataset,767 up-regulated DEGs were identified,while in the GSE34106 dataset,695 up-regulated DEGs were obtained.To intersect the up-regulated DEGs from both datasets,100 genes associated with TSCC were identified.KEGG pathway enrichment analy-sis revealed that the up-regulated DEGs were primarily involved in pathways such as cytokine-cytokine receptor interaction,IL-17 signaling pathway,chemokine signaling pathway,TNF signaling pathway,ECM-receptor interaction,Toll-like receptor signaling pathway,and natural killer cell-mediated cytotoxicity.PPI network construction and module analysis of the common DEGs yielded 5 clusters and 55 candidate genes.Further intersection with TSCC-related genes from the MalaCards database i-dentified 3 key co-expressed genes:matrix metalloproteinase1(MMP1),MMP9,and MMP13.In the CTD,seven MMP13 fea-ture-guided drugs for the treatment of tongue tumors were identified.Conclusion:MMP1,MMP9,and MMP13 genes may play critical roles in the development and progression of TSCC,and seven MMP13 feature-guided drugs could potentially serve as drug targets of it,which provide theoretical basis for the possible molecular mechanisms and targeted therapy of TSCC.

关键词

舌鳞状细胞癌/基质金属蛋白酶/生物信息学/信号通路

Key words

Tongue squamous cell carcinoma/Matrix metalloproteinase/Bioinformatics/Signaling pathway

分类

医药卫生

引用本文复制引用

刘伟龙,王玉凤,陈晓璇,殷斌,鲁勇..基于生信分析对舌鳞状细胞癌关键基因及药物靶点的预测研究[J].临床口腔医学杂志,2025,41(7):387-393,7.

基金项目

江苏省自然科学基金项目(编号:BK20210033) (编号:BK20210033)

临床口腔医学杂志

1003-1634

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