Zou Haifan, Liao Minjun, Xu Wentao, Yao Renzhi, Liao Weijia
Laboratory of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guilin Medical University, Guilin, Guangxi 541001, P.R. China.
Scientific Experiment Center, Guilin Medical University, Guilin, Guangxi 541001, P.R. China.
Oncol Lett. 2019 Dec;18(6):5879-5888. doi: 10.3892/ol.2019.10932. Epub 2019 Sep 30.
Branched chain amino acid transaminase 1 (BCAT1) catalyzes the production of glutamates and branched-chain α-ketoacids from branched chain amino acids, and a normal expression is associated with tumorigenesis. Sequencing data from public databases, including The Cancer Genome Atlas, was used to analyze expression and regulation networks for hepatocellular carcinoma (HCC). Expression and methylation were assessed using UALCAN analysis, and data from multiple datasets concerning the expression level and associated survival rates were further analyzed using HCCDB; interaction networks of biological function were constructed using GeneMANIA. LinkedOmics was used to indicate correlations between and any identified differentially expressed genes. Gene enrichment analysis of -associated genes was conducted using the Web-based Gene SeT AnaLysis Toolkit. The expression levels of were increased in patients with HCC and in most cases, the level of promoter methylation was reduced. Interaction network analysis suggested that was involved in 'metabolism', 'carcinogenesis' and the 'immune response' via numerous cancer-associated pathways. The present study revealed the expression patterns and potential function networks of in HCC, providing insights for future research into the role of in hepatocarcinogenesis. In addition, the study provided researchers with a way to analyze the genes of interest so they can continue their research in the right direction.
支链氨基酸转氨酶1(BCAT1)催化从支链氨基酸生成谷氨酸和支链α-酮酸,其正常表达与肿瘤发生相关。来自包括癌症基因组图谱在内的公共数据库的测序数据用于分析肝细胞癌(HCC)的表达和调控网络。使用UALCAN分析评估表达和甲基化,并使用HCCDB进一步分析来自多个数据集的关于表达水平和相关生存率的数据;使用GeneMANIA构建生物学功能的相互作用网络。LinkedOmics用于表明与任何鉴定出的差异表达基因之间的相关性。使用基于网络的基因集分析工具包对与相关的基因进行基因富集分析。HCC患者中 的表达水平升高,并且在大多数情况下, 启动子甲基化水平降低。相互作用网络分析表明, 通过众多癌症相关途径参与“代谢”、“致癌作用”和“免疫反应”。本研究揭示了 在HCC中的表达模式和潜在功能网络,为未来研究 在肝癌发生中的作用提供了见解。此外,该研究为研究人员提供了一种分析感兴趣基因的方法,以便他们能够继续朝着正确的方向进行研究。