期刊
MEDICINE
卷 99, 期 49, 页码 -出版社
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/MD.0000000000023153
关键词
bioinformatics; biomarker; breast cancer; differentially expressed genes; Gene Expression Omnibus; survival
资金
- Young Scientists Training Program of Beijing University of Chinese Medicine
- National Nature Science Foundation of China [81473547, 81673829]
Background: This study was carried out to identify potential key genes associated with the pathogenesis and prognosis of breast cancer (BC). Methods: Seven GEO datasets (GSE24124, GSE32641, GSE36295, GSE42568, GSE53752, GSE70947, GSE109169) were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between BC and normal breast tissue samples were screened by an integrated analysis of multiple gene expression profile datasets. Hub genes related to the pathogenesis and prognosis of BC were verified by employing protein-protein interaction (PPI) network. Results: Ten hub genes with high degree were identified, including CDK1, CDC20, CCNA2, CCNB1, CCNB2, BUB1, BUB1B, CDCA8, KIF11, and TOP2A. Lastly, the Kaplan-Meier plotter (KM plotter) online database demonstrated that higher expression levels of these genes were related to lower overall survival. Experimental validation showed that all 10 hub genes had the same expression trend as predicted. Conclusion: The findings of this research would provide some directive significance for further investigating the diagnostic and prognostic biomarkers to facilitate the molecular targeting therapy of BC, which could be used as a new biomarker for diagnosis and to guide the combination medicine of BC.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据