Yu Donghu, Ruan Xiaolan, Huang Jingyu, Hu Weidong, Chen Chen, Xu Yu, Hou Jinxuan, Li Sheng
Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.
Human Genetics Resource Preservation Center of Hubei Province, Wuhan, China.
Front Oncol. 2020 Jan 21;9:1474. doi: 10.3389/fonc.2019.01474. eCollection 2019.
Esophageal squamous cell carcinoma (ESCC) is a common malignancy with poor prognosis and survival rate. To identify meaningful long non-coding RNA (lncRNA), microRNA (miRNA), and messenger RNA (mRNA) modules related to the ESCC prognosis, The Cancer Genome Atlas-ESCC was downloaded and processed, and then, a weighted gene co-expression network analysis was applied to construct lncRNA co-expression networks, miRNA co-expression networks, and mRNA co-expression networks. Twenty-one hub lncRNAs, seven hub miRNAs, and eight hub mRNAs were clarified. Additionally, a competitive endogenous RNAs network was constructed, and the emerging role of the network involved in head and neck squamous cell carcinoma (HNSCC) was also analyzed using several webtools. The expression levels of eight hub genes (TBC1D2, ATP6V0E1, SPI1, RNASE6, C1QB, C1QC, CSF1R, and C1QA) were different between normal esophageal tissues and HNSCC tissues. The expression levels of TBC1D2 and ATP6V0E1 were related to the survival time of HNSCC. The competitive endogenous RNAs network might provide common mechanisms involving in ESCC and HNSCC. More importantly, useful clues were provided for clinical treatments of both diseases based on novel molecular advances.
食管鳞状细胞癌（ESCC）是一种常见的恶性肿瘤，预后和生存率较差。为了识别与ESCC预后相关的有意义的长链非编码RNA（lncRNA）、微小RNA（miRNA）和信使RNA（mRNA）模块，下载并处理了癌症基因组图谱-ESCC，然后应用加权基因共表达网络分析构建lncRNA共表达网络、miRNA共表达网络和mRNA共表达网络。确定了21个枢纽lncRNA、7个枢纽miRNA和8个枢纽mRNA。此外，构建了竞争性内源RNA网络，并使用几种网络工具分析了该网络在头颈部鳞状细胞癌（HNSCC）中的新作用。正常食管组织和HNSCC组织中8个枢纽基因（TBC1D2、ATP6V0E1、SPI1、RNASE6、C1QB、C1QC、CSF1R和C1QA）的表达水平不同。TBC1D2和ATP6V0E1的表达水平与HNSCC的生存时间有关。竞争性内源RNA网络可能提供涉及ESCC和HNSCC的共同机制。更重要的是，基于新的分子进展为这两种疾病的临床治疗提供了有用的线索。
