Identification of NUF2 and FAM83D as potential biomarkers in triple-negative breast cancer.

摘要: Background Breast cancer is a heterogeneous disease. Compared with other subtypes of breast cancer, triple-negative (TNBC) easy to metastasize and has short survival time, less choice treatment options. Here, we aimed identify the potential biomarkers TNBC diagnosis prognosis. Material/Methods Three independent data sets (GSE45827, GSE38959, GSE65194) were downloaded from Gene Expression Omnibus (GEO). The R software packages used integrate gene profiles differentially expressed genes (DEGs). A variety bioinformatics tools explore hub genes, including DAVID database, STRING database Cytoscape software. Reverse transcription quantitative PCR (RT-qPCR) was verify in 14 pairs paired tissues. Results In this study, screened out 161 DEGs between 222 non-TNBC 126 samples, which 105 up-regulated 56 down-regulated. These enriched for 27 GO terms two pathways. analysis mainly "cell division", "chromosome, centromeric region" "microtubule motor activity". KEGG pathway mostly "Cell cycle" "Oocyte meiosis". PPI network constructed then 10 top screened. According results Kaplan-Meier curve, expression levels only NUF2, FAM83D CENPH associated recurrence-free samples (P < 0.05). RT-qPCR confirmed that NUF2 tissues indeed significantly. Conclusions comprehensive showed could be as prognosis TNBC.