@article{TCR30342,
author = {Jingfeng Peng and Yimiao Zhu and Xin Dong and Xiaoming Mao and Yanbo Lou and Yunchuan Mu and Dan Xue and Huijiang Zhou},
title = {Construction and analysis of lncRNA-associated ceRNA network identified potential prognostic biomarker in gastric cancer},
journal = {Translational Cancer Research},
volume = {8},
number = {4},
year = {2019},
keywords = {},
abstract = {Background: Long non-coding RNAs (lncRNAs) are defined as non-coding RNA (ncRNA) with transcripts longer than 200 nucleotides with tissue specificity. Recently it has been found participate in cancer tumorigenesis and progression via transcriptional regulation, post-transcriptional regulation and epigenetic gene regulation. Competitive endogenous RNA (ceRNA) hypothesis assume that lncRNAs compete the target RNA by sponging the common miRNA response elements (MREs) to complete the posttranscriptional regulation. To explore the function and mechanisms of lncRNAs as ceRNAs in gastric cancer (GC), this study performed a genome-wide analysis.
Methods: The lncRNAs, mRNAs and microRNAs (miRNAs) profiles of 375 GC samples and 32 normal samples were obtained from The Cancer Genome Atlas (TCGA) Stomach Adenocarcinoma (STAD) datasets. The data was standardized with a cross match in the miRBase (a database at http://www.mirbase. org/), which made 365 samples as the analysis objects. We identify differentially expressed RNAs (DERNAs), including differentially expressed mRNAs (DEmRNAs), differentially expressed miRNAs (DEmiRNAs) and differentially expressed lncRNAs (DElncRNAs) by applying edge R package with thresholds of |log2FC| >2 and false discovery rate (FDR) },
issn = {2219-6803}, url = {https://tcr.amegroups.org/article/view/30342}
}