Construction of a novel ceRNA network and identification of lncRNA ADAMTS9-AS2 and PVT1 as hub regulators of miRNA and coding gene expression in gastric cancer
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Song Wang, Xing-Chuan Li, Jia-Rui Zhu, Zhi-Jie Ma, Jun-Tao Ran, Yong-Ning Zhou
2021 Volume 10, Issue 2, p938-952
Abstract
Studies on the interactions of single long non-coding RNA, microRNA, and mRNA have many limitations; therefore, it is necessary to study the complex regulatory network of gastric cancer (GC) pathogenesis systematically.
In this study, gene and miRNA expression data for GC were downloaded from The Cancer Genome Atlas and used for transcriptome profiling, differential gene analysis, and construction of an lncRNA-miRNA-mRNA regulatory network in conjunction with an online database to identify the key genes and subnetworks in GC pathogenesis. Real-time quantitative polymerase chain reaction was used to detect the expression of hub lncRNAs in 54 paired GC and matched normal mucosal tissues.
We constructed an lncRNA-miRNA-mRNA competitive endogenous RNA regulatory network containing 1,626 network nodes and 2,704 interactions. LncRNA ADAMTS9-AS2 and PVT1 were identified as key node genes in this competitive endogenous RNA network. Quantitative reverse transcription-polymerase chain reaction revealed ADAMTS9-AS2 downregulation and PVT1 upregulation in 54 pairs of GC and normal tissues adjacent to the cancer tissues.
This study systematically analysed the lncRNA-miRNA-mRNA regulatory network in GC and identified ADAMTS9-AS2 and PVT1 as key regulatory genes in this network, providing new understanding of GC pathogenesis and insights for its early diagnosis and treatment.
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