Basic Study
Copyright ©The Author(s) 2018. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Dec 14, 2018; 24(46): 5259-5270
Published online Dec 14, 2018. doi: 10.3748/wjg.v24.i46.5259
Identification and prediction of novel non-coding and coding RNA-associated competing endogenous RNA networks in colorectal cancer
Yu Liang, Cheng Zhang, Ming-Hui Ma, Dong-Qiu Dai
Yu Liang, Cheng Zhang, Ming-Hui Ma, Dong-Qiu Dai, Department of Gastrointestinal Surgery, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, Liaoning Province, China
Author contributions: Dai DQ conducted the study; Liang Y, Zhang C, and Ma MH applied the experiments on TCGA project; Liang Y wrote the manuscript.
Supported by the National Natural Science Foundation of China, No. 30572162; and Natural Science Foundation of Liaoning Province, No. 201602817.
Conflict-of-interest statement: The authors declare that there is no conflict of interest related to this study.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See:
Corresponding author to: Dong-Qiu Dai, PhD, Chief Doctor, Professor, Surgical Oncologist, Department of Gastrointestinal Surgery, the Fourth Affiliated Hospital of China Medical University, 4 Chongshan Road, Shenyang 110032, Liaoning Province, China.
Telephone: +86-24-62043110 Fax: +86-24-62043110
Received: September 17, 2018
Peer-review started: September 17, 2018
First decision: October 14, 2018
Revised: October 18, 2018
Accepted: November 9, 2018
Article in press: November 9, 2018
Published online: December 14, 2018
Core Tip

Core tip: We acquired high-throughput data from The Cancer Genome Atlas database and constructed the competing endogenous RNA (ceRNA) networks of colorectal cancer by bioinformatics analysis, which included 81 differentially expressed (DE)lncRNAs, 20 DEmiRNAs, and 54 DEmRNAs. Furthermore, 3 lncRNAs, 3 miRNAs, and 2 mRNAs were found associated with overall survival. Our study revealed that ceRNA networks are important in colorectal cancer and the prognosis-related genes worth exploring further.