Li Chunguang, Luo Liangtao, Wei Sheng, Wang Xiongbiao
Department of Oncological Surgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, P. R. China.
Department of General Surgery, First Renmin Hospital, Tianmen, Hubei, P. R. China.
Oncotarget. 2017 Dec 13;9(6):6800-6813. doi: 10.18632/oncotarget.23239. eCollection 2018 Jan 23.
Invasive ductal carcinoma (IDC) is a common histological type of breast cancer. The aim of this study was to identify the potential crucial genes associated with IDC and to provide valid biological information for further investigations. The gene expression profiles of GSE10780 which contained 42 histologically normal breast tissues and 143 IDC tissues were downloaded from the GEO database. Functional and pathway enrichment analysis of differentially expressed genes (DEGs) were performed and protein-protein interaction (PPI) network was analyzed using Cytoscape. In total, 999 DEGs were identified, including 667 up-regulated and 332 down-regulated DEGs. Gene ontology analysis demonstrated that most DEGs were significantly enriched in mitotic cell cycle, adhesion and protein binding process. Through PPI network analysis, a significant module was screened out, and the top 10 hub genes, CDK1, CCNB1, CENPE, CENPA, PLK1, CDC20, MAD2L1, HIST1H2BK, KIF2C and CCNA2 were identified from the PPI network. The expression levels of the 10 genes were validated in Oncomine database. KIF2C, MAD2L1 and PLK1 were associated with the overall survival. And we used cBioPortal to explore the genetic alterations of hub genes and potential drugs. In conclusion, the present study identified DEGs between normal and IDC samples, which could improve our understanding of the molecular mechanisms in the development of IDC, and these candidate genes might be used as therapeutic targets for IDC.
浸润性导管癌（IDC）是乳腺癌常见的组织学类型。本研究旨在识别与IDC相关的潜在关键基因，并为进一步研究提供有效的生物学信息。从基因表达综合数据库（GEO数据库）下载了包含42个组织学正常乳腺组织和143个IDC组织的GSE10780基因表达谱。对差异表达基因（DEGs）进行功能和通路富集分析，并使用Cytoscape分析蛋白质-蛋白质相互作用（PPI）网络。总共鉴定出999个DEGs，包括667个上调的DEGs和332个下调的DEGs。基因本体分析表明，大多数DEGs在有丝分裂细胞周期、黏附和蛋白质结合过程中显著富集。通过PPI网络分析，筛选出一个显著模块，并从PPI网络中鉴定出前10个枢纽基因，即细胞周期蛋白依赖性激酶1（CDK1）、细胞周期蛋白B1（CCNB1）、着丝粒蛋白E（CENPE）、着丝粒蛋白A（CENPA）、 polo样激酶1（PLK1）、细胞分裂周期蛋白20（CDC20）、有丝分裂阻滞缺陷蛋白2样1（MAD2L1）、组蛋白1H2BK（HIST1H2BK）、驱动蛋白家族成员2C（KIF2C）和细胞周期蛋白A2（CCNA2）。在Oncomine数据库中验证了这10个基因的表达水平。KIF2C、MAD2L1和PLK1与总生存期相关。并且我们使用cBioPortal探索枢纽基因的基因改变和潜在药物。总之，本研究鉴定了正常样本和IDC样本之间的DEGs，这有助于我们更好地理解IDC发生发展的分子机制，这些候选基因可能作为IDC的治疗靶点。
