Objective:To investigate the correlation between characteristics of ultrasound image and expression levels of key genes in breast cancer.Methods:By searching the Medicine Pubmed database of the National Library,all the literatures related to relative genes of breast cancer were gathered.Search Tool for Retrieval of Interacting Genes/Proteins and Cytoscape software were used to construct protein-protein interaction(PPI)network for relative genes,and screen out key genes.The expression verification and prognostic analysis of candidate key genes were performed by Gene Expression Profiling Interactive Analysis and Kaplan Meier Plotter database bases on the values of gene expression levels.Retrospective analysis of 36 patients with breast cancer,who were confirmed by surgery and pathology in the First Hospital of Shanxi Medical University from September 2022 to September 2023,was performed.The expression of key genes of breast cancer was detected by the transcriptome sequence technique.The ultrasonographic features of patients with breast cancer were collected,and the correlation between it and key genes were further analyzed.Results:A total of 10 candidate key genes were identified,which included hyaluronic acid mediated motor receptors(HMMR),BUB1 mitotic checkpoint serine/threonine kinase(BUB1B),assembly factors of spindle microtubules(ASPM),cyclin dependent kinase(CDK1),serine/threonine protein kinase(BUB1),members of the driving protein family 2C(KIF2C),microtubule nucleation factor TPX2(TPX2),maternal embryonic leucine zipper kinase(MELK),centromere protein F(CENPF)and topoisomerase 2A(TOP2A).The above 10 candidate key genes were highly expressed in breast cancer samples and they had bad prognosis.The level of key gene TPX2 in patients whose maximum diameter of breast cancer>2cm was higher than that in patients whose the maximum diameter of breast cancer≤2cm,and the level of key gene MELK of patients with micro-calcification of breast cancer was significantly higher than that of patients without micro-calcification of breast cancer,and the differences of them were statistically significant(Z=-2.483,-2.888,P<0.05),respectively.The maximum elastic value(Emax)of shear wave elastography parameters was positively correlated with the expression levels of BUB1,KIF2C,TPX2,CENPF and TOP2A of key genes(r=0.411,0.399,0.447,0.446,0.337,P<0.05),respectively.Conclusion:Ultrasound characteristics of breast cancer can be used to predict the expression level of key genes,which can provide more bases for the choices of early diagnosis,treatment plan and prognostic assessment of breast cancer.
Breast cancerKey geneBioinformaticsUltrasound examination
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