良恶性乳腺肿瘤外周血基因差异表达研究

Gene expression profiles analysis identifies key genes of PBMCs in patients with benign and malignant breast tumor

目的:利用基因表达谱数据,探讨良恶性乳腺肿瘤患者外周血基因表达变化。方法:从GEO数据库中获取良性和恶性乳腺肿瘤患者外周血单个核细胞(PBMCs)表达谱。GEO2R在线工具筛选差异表达基因,DAVID工具富集基因功能和通路。STRING数据库构建差异表达基因蛋白产物相互作用的网络,筛选核心基因。结果:良恶性乳腺肿瘤分别筛选到563和237个差异基因,乳腺癌差异基因涉及白细胞激活、血管生成等生物学过程以及白细胞跨内皮迁移信号通路。IL8、RHOB、ITGB1等为关键基因。结论:良恶性乳腺肿瘤患者外周血基因表达模式存在明显差异,为将外周血作为替代材料应用于乳腺肿瘤的诊断及监测研究开辟了新思路。

Objective： To observe the changes of gene expression in peripheral blood mononuclear cells（ PBMCs） of benign and malignant breast tumor based on gene expression profiling. Methods： Datasets of gene expression profiling were downloaded from the GEO database,including PBMCs profilings of benign breast tumor,breast cancer and healthy controls. GEO2 R tool was used to analyze the data to identify the differentially expressed genes（ DEGs）. Function of DEGs were annotated by DAVID. Protein interaction analysis and hub gene select were then performed using STRING database. Results： 563 and 237 DEGs respectively were identified. DEGs in breast cancer involved in biological process of leukocyte activation,angiogenesis and leukocyte transendothelial migration. The hub genes are IL8,RHOB,ITGB1. Conclusion： The data suggests that gene expression patterns of these two profilings are different at a certain degree. PBMCs maybe a better noninvasive material for biomarker detection of benign and malignant breast tumor.