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©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Jan 14, 2019; 25(2): 233-244
Published online Jan 14, 2019. doi: 10.3748/wjg.v25.i2.233
Published online Jan 14, 2019. doi: 10.3748/wjg.v25.i2.233
Biomarker identification and trans-regulatory network analyses in esophageal adenocarcinoma and Barrett’s esophagus
Jing Lv, Ji-Han Wang, Yu-Zhu Yan, Yan Yu, He-Ping Zhao, Department of Clinical Laboratory, Honghui Hospital, Xi’an Jiaotong University, Xi’an 710054, Shaanxi Province, China
Lei Guo, Yun-Fei Huang, Department of Spinal Surgery, Honghui Hospital, Xi’an Jiaotong University, Xi’an 710054, Shaanxi Province, China
Jun Zhang, Department of Gastroenterology, Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710004, Shaanxi Province, China
Yang-Yang Wang, The Tenth Research Institute of Telecommunications Technology, Xi’an 710000, Shaanxi Province, China
Author contributions: Lv J and Guo L conducted the experiments, wrote the paper, and performed the data analysis; Wang JH, Yan YZ, and Yu Y performed online data search, microarray analysis, and statistical analysis; Wang YY and Huang YF constructed the figures and tables; Wang JH, Zhang J, and Zhao HP were responsible for designing the study, critically reviewed the article, and approved the final version of the article to be published.
Conflict-of-interest statement: The authors declare that they have no conflicts of interest.
Data sharing statement: Datasets analyzed during the current study are available from the Gene Expression Omnibus (GEO) DataSets in the National Center for Biotechnology Information (NBCI) Database (http://www.ncbi.nlm.nih.gov/gds/). All data generated or analysed during this study are included in this article and its supplementary information files.
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/
Corresponding author: He-Ping Zhao, Chief Technician, Director, Department of Clinical Laboratory, Honghui Hospital, Xi’an Jiaotong University, No. 555, You Yi Dong Road, Xi’an 710054, Shaanxi Province, China. redcrossjyk@163.com
Telephone: +86-29-62818664 Fax: +86-29-87889576
Received: October 12, 2018
Peer-review started: October 14, 2018
First decision: November 29, 2018
Revised: December 10, 2018
Accepted: December 15, 2018
Article in press: December 15, 2018
Published online: January 14, 2019
Processing time: 95 Days and 11.6 Hours
Peer-review started: October 14, 2018
First decision: November 29, 2018
Revised: December 10, 2018
Accepted: December 15, 2018
Article in press: December 15, 2018
Published online: January 14, 2019
Processing time: 95 Days and 11.6 Hours
Core Tip
Core tip: We did comprehensive bioinformatics analyses to identify the differentially expressed genes in Barrett’s esophagus (BE) and esophageal adenocarcinoma (EAC) samples from two Gene Expression Omnibus datasets, and certain potential biomarkers were revealed in the progression of BE and EAC. After trans-regulatory network prediction, receiver operating characteristic curve evaluation and Database for Annotation, Visualization, and Integrated Discovery annotation, an association between COL1A1 and EAC was found. Similarly, an association between MMP1 and BE was also predicted. Our study provided a novel perspective on the molecular mechanisms involved in the development of BE and EAC.