Comprehensive Analysis of Prognostic lncRNAs, miRNAs, and mRNAs Forming a Competing Endogenous RNA Network in LGG

Yan Ding,Liu H,C Zhang, Zhenmin Bao, Shuang Yu

Research Square (Research Square)(2020)

引用 0|浏览0
暂无评分
摘要
Abstract Background: Messenger RNA(mRNA) and Long non coding RNA (lncRNA) targets can interact through the ability to compete for microRNA binding. However, the roles of cancer specific lncRNAs in lncRNA-related ceRNA network of low grade glioma (LGG) are still unclear.Methods: This study obtained two types of RNAs sequencing data in Solid Tissue Normal and LGG Primary Tumor from TCGA database. We used a computational method to analyse the relation between mRNAs, lncRNAs and miRNAs. The function enrichment of Go item and KEGG pathway were analyzed to predict the biological process and pathway of the screened gene. Kaplan‐Meier survival analysis was used to evaluate the association with the expression levels of mRNAs, lncRNAs, and micRNAs and the overall survival of the patients. the ceRNA network of mRNA-lncRNA-miRNA was constructed with the version of cycloscape 3.5.1.Results: 2555 DEmRNA, 218 DElncRNA. 192 DEmiRNAs were screened by using the R package. We analyzed the function enrichment of Go item and KEGG pathway of mRNAs and lncRNAs in ceRNA network. The main 10 BP items, 10 CC items, 10 MF items and 48 KEGG pathways were selected.55 survival related lncRNAs, 50 survival related miRNAs and top 10 survival most related mRNAs in LGG. Finally, 59 miRNAs, 235 mRNAs and 17 lncRNAs, a total of 313 nodes and 1046 edges, constructed the ceRNA network of mRNA-lncRNA-miRNA.Conclusions: This study is advantageous to deeply understand the biological mechanism of ceRNA and to clarify the pathogenesis of LGG.
更多
查看译文
关键词
prognostic lncrnas,endogenous lncrnas network,mirnas
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要