Department of Gynaecology, The First College of Clinical Medical Sciences, China Three Gorges University, Yichang Central People's Hospital, Yichang, 443000, Hubei, China.
Department of Thyroid and Breast Surgery, The First College of Clinical Medical Sciences, China Three Gorges University, Yichang Central People's Hospital, No. 183 Yiling Road, Wujia District, Yichang, 443000, Hubei, China.
Hereditas. 2020 Sep 3;157(1):37. doi: 10.1186/s41065-020-00151-z.
The aim of this study was to identify potential therapeutic target genes for breast cancer (BC) by the investigation of gene expression changes after ionizing radiation (IR) in BC cells. Gene expression profile GSE21748, including BC cell line MCF-7 samples at different time points after IR treatment, were downloaded from Gene Expression Omnibus. Differentially expressed genes (DEGs) were identified in different time points following IR compared with cell samples before IR, respectively. Gene ontology functions and The Kyoto Encyclopedia of Genes and Genomes pathways of the overlapping DEGs were enriched using DAVID. Transcription factor (TFs)-encoding genes were identified from the overlapping DEGs, followed by construction of transcriptional regulatory network and co-expression network.
A total of 864 overlapping DEGs were identified, which were significantly enriched in regulation of cell proliferation and apoptosis, and cell cycle process. We found that FOXD1, STAT6, XBP1, STAT2, LMO2, TFAP4, STAT3, STAT1 were hub nodes in the transcriptional regulatory network of the overlapping DEGs. The co-expression network of target genes regulated by STAT3, STAT1, STAT6 and STAT2 included some key genes such as BCL2L1.
STAT1, STAT2, STAT3, STAT6, XBP1, BCL2L1, CYB5D2, ESCO2, and PARP2 were significantly affected by IR and they may be used as therapeutic gene targets in the treatment of BC.
本研究旨在通过研究电离辐射(IR)后乳腺癌(BC)细胞中的基因表达变化,鉴定潜在的治疗靶基因。从基因表达综合数据库中下载基因表达谱 GSE21748,其中包括不同时间点 IR 处理后的 BC 细胞系 MCF-7 样本。分别比较 IR 处理后的不同时间点与 IR 处理前的细胞样本,鉴定差异表达基因(DEGs)。使用 DAVID 对重叠 DEGs 的基因本体功能和京都基因与基因组百科全书通路进行富集分析。从重叠 DEGs 中鉴定出转录因子(TFs)编码基因,然后构建转录调控网络和共表达网络。
共鉴定出 864 个重叠 DEGs,这些基因在细胞增殖和凋亡的调控以及细胞周期过程中显著富集。我们发现,FOXD1、STAT6、XBP1、STAT2、LMO2、TFAP4、STAT3 和 STAT1 是重叠 DEGs 转录调控网络中的枢纽节点。受 STAT3、STAT1、STAT6 和 STAT2 调控的靶基因的共表达网络包括 BCL2L1 等一些关键基因。
IR 显著影响 STAT1、STAT2、STAT3、STAT6、XBP1、BCL2L1、CYB5D2、ESCO2 和 PARP2,它们可能被用作治疗 BC 的治疗基因靶点。