Construction and Investigation of a lncRNA-Associated ceRNA Regulatory Network in Cholangiocarcinoma

Frontiers in Oncology

Hui Zhang¹  Jianzhen Lin¹  Haitao Zhao¹  Jianping Xiong¹  Weiyu Xu²  Shuguang Chen²  Jinzhu Mao²  Junyu Long²  Yi Bai³ 

[1] Peking Union Medical College, Beijing, China;;Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences &Interventional Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China;

关键词: competing endogenous RNA network;    long non-coding RNA;    cholangiocarcinoma;    prognosis;    microRNA;   

DOI  :  10.3389/fonc.2019.00649

来源: DOAJ

【 摘 要 】

Background/Aims: As a type of malignant tumor commonly found in the bile duct, cholangiocarcinoma (CCA) has a poor prognosis. Long non-coding RNA (lncRNA) has recently drawn increasing attention because it functions as a competing endogenous RNA (ceRNA) to hinder miRNA functions that participate in posttranscriptional regulatory networks in tumors. Therefore, to investigate the mechanisms of CCA carcinogenesis and to enhance treatment efficiency, the expression profiles, including lncRNA, miRNA, and mRNA data, were comprehensively integrated and analyzed in this study.Methods: A comprehensive comparison was performed on the RNA-sequencing and miRNA profiles data of 36 CCA samples and 9 normal samples from The Cancer Genome Atlas (TCGA) database. Then, a dysregulated lncRNA-related ceRNA network was established by using four public databases.Results: In summary, 1,410 lncRNAs, 64 miRNAs, and 3,494 mRNAs appeared as genes that were aberrantly expressed in CCA. Then, a dysregulated ceRNA network related to the lncRNAs was constructed. The network included 116 lncRNAs, 13 miRNAs and 60 mRNAs specific to CCA. The survival analysis showed that, among them, 26 lncRNAs, 3 miRNAs, and 13 mRNAs were prognostic biomarkers for patients with CCA. Finally, three mRNAs were selected for validation of their expression levels in the Gene Expression Omnibus (GEO) database. The results indicated that the expression of those genes was highly consistent between the TCGA and GEO databases.Conclusions: The findings in this study provide a better understanding of the ceRNA network involved in CCA biology and lay a solid foundation for improving CCA diagnosis and prognosis.

【 授权许可】

Unknown