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

中文翻译：

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鉴定 NUF2 和 FAM83D 作为三阴性乳腺癌的潜在生物标志物

背景 乳腺癌是一种异质性疾病。与其他乳腺癌亚型相比，三阴性乳腺癌（TNBC）易转移，生存期短，治疗选择较少。在这里，我们旨在确定 TNBC 诊断和预后的潜在生物标志物。材料/方法三个独立的数据集（GSE45827、GSE38959、GSE65194）从基因表达综合（GEO）下载。R软件包用于整合基因图谱并识别差异表达基因（DEG）。多种生物信息学工具用于探索中心基因，包括 DAVID 数据库、STRING 数据库和 Cytoscape 软件。逆转录定量 PCR (RT-qPCR) 用于验证 14 对 TNBC 配对组织中的中枢基因。结果 在这项研究中，我们在 222 个非 TNBC 和 126 个 TNBC 样本中筛选出 161 个 DEG，其中 105 个基因上调，56 个下调。这些 DEG 富含 27 个 GO 术语和两种途径。GO分析主要集中在“细胞分裂”、“染色体、着丝粒区域”和“微管运动活性”。KEGG通路分析主要集中在“细胞周期”和“卵母细胞减数分裂”。构建PPI网络，筛选出10个top hub基因。Kaplan-Meier生存曲线分析结果显示，只有NUF2、FAM83D和CENPH的表达水平与TNBC样本的无复发生存率相关（P < 0.05）。RT-qPCR 证实 NUF2 和 FAM83D 在 TNBC 组织中的表达水平确实显着上调。