基于生物信息基因表达谱的乳腺癌转移基因标志物的分析研究

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Abstract Objective To identify potential genetic markers associated with breast cancer metastasis and to perform survival analysis.Methods The comprehensive Gene Expression Omnibus (GEO) was used to screen differentially expressed genes (DEGs) between metastatic and non-metastatic sites of breast cancer.Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses were performed, the protein-protein interaction(PPI) network was constructed, and module analysis was performed using MCODE.Then, overall survival (OS) and distant metastasis free survival (DMFS) analysis of hub genes was performed by the Kaplan-Meier plotter online tool.The correlations between hub genes and clinical stages were validated through GEPIA online tool.Results A total of 295 DEGs were obtained, which were significantly enriched in the terms related to extracellular exosome, focal adhesion,cell division.KEGG pathway analysis showed that the significant pathways included mitogen-activated protein kinase(MAPK) signaling pathway, Rap1 signaling pathway, cell adhesion molecules (CAMs), antigen processing and presentation.The PPI network was established with 280 nodes and 357 edges.Ten modules were found from the PPI network.Conclusion A total of 20 genes were selected as hub genes, among which, low expression of TYMS, SKA1, ADCY7 and high expression of MX1 were related with worse overall survival.Low expression of POLR3H and high expression of CDCA8, ASE1, KIF14, MX1 were associated with worse DMFS.POLR3H and PRC1 may serve as new biomarker in diagnosing metastasis of breast cancer or potential drug target.

Key words： Breast cancer Metastasis Bioinformatics analysis Differently expressed genes Therapeutic agent Survival analysis

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	Articles by authors
	WU Qiqiao
	ZHANG Shumin
	ZHENG Tingting
	LIU Juan
	HU Yong
	LIN Dengqiang
	DAI Mengting
	SUN Jing

Cite this article:

WU Qiqiao,ZHANG Shumin,ZHENG Tingting, et al. Genomic biomarker investigation for metastasis of breast cancer by combined bioinformatic gene expression profile analysis[J]. 中国当代医药, 2021, 28(36): 22-28.

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http://dangdaiyiyao.com/EN/ OR http://dangdaiyiyao.com/EN/Y2021/V28/I36/22

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