Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, 79 Qingchun Road, Hangzhou, Zhejiang 310003, PR China.
Program of Innovative Cancer Therapeutics, Division of Hepatobiliary & Pancreatic Surgery, Department of Surgery, First Affiliated Hospital, College of Medicine, Key Laboratory of Organ Transplantation, Zhejiang University, 79 Qingchun Road, Zhejiang Province, Hangzhou 310003, PR China.
Epigenomics. 2019 Oct;11(13):1501-1518. doi: 10.2217/epi-2019-0209. Epub 2019 Sep 10.
To identify novel competing endogenous RNA (ceRNA) network related to patients prognosis in breast cancer. Dysregulated mRNA based on intersection of three Gene Expression Omnibus and The Cancer Genome Atlas datasets were analyzed by bioinformatics. In total 72 upregulated and 208 downregulated genes were identified. Functional analysis showed that some pathways related to cancer were significantly enriched. By means of stepwise reverse prediction and validation from mRNA to lncRNA, 19 hub genes, nine key miRNA and four key lncRNAs were identified by expression and survival analysis. Ultimately, the coexpression analysis identified -let-7a-5p-/ as key ceRNA subnetwork associated with prognosis of breast cancer. We successfully constructed a novel ceRNA network, among which each component was significantly associated with breast cancer prognosis.
为了鉴定与乳腺癌患者预后相关的新型竞争性内源性 RNA(ceRNA)网络。通过生物信息学分析,对三个基因表达综合数据库和癌症基因组图谱数据集的交集进行了失调 mRNA 的分析。总共鉴定出 72 个上调基因和 208 个下调基因。功能分析表明,一些与癌症相关的通路显著富集。通过从 mRNA 到 lncRNA 的逐步反向预测和验证,通过表达和生存分析鉴定出 19 个枢纽基因、9 个关键 miRNA 和 4 个关键 lncRNA。最终,共表达分析鉴定出 -let-7a-5p-/-作为与乳腺癌预后相关的关键 ceRNA 子网络。我们成功构建了一个新型的 ceRNA 网络,其中每个成分都与乳腺癌的预后显著相关。