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Publication Name World Journal of Gastroenterology
Manuscript ID 37473
Country/Territory China
Category Gastroenterology & Hepatology
Manuscript Type Basic Study
Article Title Three-microRNA signature identified by bioinformatics analysis predicts prognosis of gastric cancer patients
Manuscript Source Unsolicited Manuscript
All Author List Cheng Zhang, Chun-Dong Zhang, Ming-Hui Ma and Dong-Qiu Dai
Funding Agency and Grant Number
Funding Agency Grant Number
National Natural Science Foundation of China 30572162
Natural Science Foundation of Liaoning Province 201602817
Corresponding Author Dong-Qiu Dai, PhD, Chief Doctor, Professor, Surgical Oncologist, Department of Gastroenterological Surgery, the Fourth Affiliated Hospital of China Medical University, 4 Chongshan Road, Shenyang 110032, Liaoning province, China. daidq63@163.com
Key Words Gene functional enrichment; Prognosis; Bioinformatic analysis; Differentially expressed miRNAs; Gastric cancer
Core Tip We identified 110 differentially expressed miRNAs through mining the datasets of Gene Ex­pression Omnibus database and acquired the miRNA expression profiles and clinical information of 361 gastric cancer (GC) patients from The Cancer Genome Atlas database. Multiple miRNAs together acting as biomarkers may have a stronger reliability in survival prediction. Our study found that a novel three-miRNA signature could be used for predicting the prognosis of GC patients.
Citation Zhang C, Zhang CD, Ma MH, Dai DQ. Three-microRNA signature identified by bioinformatics analysis predicts prognosis of gastric cancer patients. World J Gastroenterol 2018; 24(11): 1206-1215
Received
2017-12-09 11:34
Peer-Review Started
2017-12-10 09:44
To Make the First Decision
2017-12-20 07:33
Return for Revision
2017-12-21 10:04
Revised
2017-12-25 09:46
Second Decision
2018-01-16 12:25
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2018-01-16 17:24
Articles in Press
2018-01-16 17:24
Publication Fee Transferred
Edit the Manuscript by Language Editor
2018-01-21 13:19
Typeset the Manuscript
2018-03-15 09:13
ISSN 1007-9327 (print) and 2219-2840 (online)
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: http://creativecommons.org/licenses/by-nc/4.0/
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