喵ID:DKrk2y免责声明

Co-expression analysis and ceRNA network reveal eight novel potential lncRNA biomarkers in hepatocellular carcinoma

共表达分析和 ceRNA 网络揭示了肝细胞癌中八种新型潜在 lncRNA 生物标志物

基本信息

DOI:
10.7717/peerj.8101
发表时间:
2019-12-02
期刊:
影响因子:
2.7
通讯作者:
Wang, Lin
中科院分区:
生物学3区
文献类型:
Article
作者: Zou, Ren-chao;Shi, Zhi-tian;Wang, Lin研究方向: -- MeSH主题词: --
关键词: --
来源链接:pubmed详情页地址

文献摘要

Background. Hepatocellular carcinoma (HCC) is the most common primary liver cancer in the world, with a high degree of malignancy and recurrence. The influence of the ceRNA network in tumor on the biological function of liver cancer is very important, It has been reported that many lncRNA play a key role in liver cancer development. In our study, integrated data analysis revealed potential eight novel lncRNA biomarkers in hepatocellular carcinoma.Methods. Transcriptome data and clinical data were downloaded from the The Cancer Genome Atlas (TCGA) data portal. Weighted gene co-expression network analysis was performed to identify the expression pattern of genes in liver cancer. Then, the ceRNA network was constructed using transcriptome data.Results. The integrated analysis of miRNA and RNAseq in the database show eight novel lncRNAs that may be involved in important biological pathways, including TNM and disease development in liver cancer. We performed function enrichment analysis of mRNAs affected by these lncRNAs.Conclusions. By identifying the ceRNA network and the lncRNAs that affect liver cancer, we showed that eight novel lncRNAs play an important role in the development and progress of liver cancer.
背景。肝细胞癌(HCC)是世界上最常见的原发性肝癌,具有高度的恶性和复发性。肿瘤中的竞争性内源RNA(ceRNA)网络对肝癌生物学功能的影响非常重要。据报道,许多长链非编码RNA(lncRNA)在肝癌发展中起关键作用。在我们的研究中,综合数据分析揭示了肝细胞癌中潜在的8种新型lncRNA生物标志物。 方法。从癌症基因组图谱(TCGA)数据门户下载转录组数据和临床数据。进行加权基因共表达网络分析以确定肝癌中基因的表达模式。然后,利用转录组数据构建ceRNA网络。 结果。对数据库中微小RNA(miRNA)和RNA测序的综合分析显示出8种新型lncRNAs可能参与重要的生物学通路,包括肝癌的TNM分期和疾病发展。我们对受这些lncRNAs影响的信使RNA(mRNAs)进行了功能富集分析。 结论。通过确定ceRNA网络和影响肝癌的lncRNAs,我们表明8种新型lncRNAs在肝癌的发生和发展中起重要作用。
参考文献(55)
被引文献(0)

数据更新时间:{{ references.updateTime }}

Wang, Lin
通讯地址:
--
所属机构:
--
电子邮件地址:
--
免责声明免责声明
1、猫眼课题宝专注于为科研工作者提供省时、高效的文献资源检索和预览服务;
2、网站中的文献信息均来自公开、合规、透明的互联网文献查询网站,可以通过页面中的“来源链接”跳转数据网站。
3、在猫眼课题宝点击“求助全文”按钮,发布文献应助需求时求助者需要支付50喵币作为应助成功后的答谢给应助者,发送到用助者账户中。若文献求助失败支付的50喵币将退还至求助者账户中。所支付的喵币仅作为答谢,而不是作为文献的“购买”费用,平台也不从中收取任何费用,
4、特别提醒用户通过求助获得的文献原文仅用户个人学习使用,不得用于商业用途,否则一切风险由用户本人承担;
5、本平台尊重知识产权,如果权利所有者认为平台内容侵犯了其合法权益,可以通过本平台提供的版权投诉渠道提出投诉。一经核实,我们将立即采取措施删除/下架/断链等措施。
我已知晓