Basic Study
Copyright ©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Dec 28, 2019; 25(48): 6890-6901
Published online Dec 28, 2019. doi: 10.3748/wjg.v25.i48.6890
Comprehensive multi-omics analysis identified core molecular processes in esophageal cancer and revealed GNGT2 as a potential prognostic marker
Guo-Min Liu, Xuan Ji, Tian-Cheng Lu, Li-Wei Duan, Wen-Yuan Jia, Yun Liu, Mao-Lei Sun, Yun-Gang Luo
Guo-Min Liu, Xuan Ji, Wen-Yuan Jia, Yun Liu, Mao-Lei Sun, Yun-Gang Luo, Jilin Provincial Medicine Anti-Tumor Engineering Center, The Second Hospital of Jilin University, Changchun 130041, Jilin Province, China
Guo-Min Liu, Wen-Yuan Jia, Department of Orthopedics, The Second Hospital of Jilin University, Changchun 130041, Jilin Province, China
Xuan Ji, Yun Liu, Mao-Lei Sun, Yun-Gang Luo, Department of Stomatology, The Second Hospital of Jilin University, Changchun 130041, Jilin Province, China
Tian-Cheng Lu, Life Sciences College, Jilin Agricultural University, Changchun 130118, Jilin Province, China
Li-Wei Duan, Department of Gastroenterology, The Second Hospital of Jilin University, Changchun 130041, Jilin Province, China
Author contributions: Liu GM and Ji X designed the research; Lu TC and Duan LW performed the research; Jia WY and Liu Y analyzed the data; Sun ML and Luo YG wrote the paper.
Supported by Construction of Engineering Laboratory of Jilin Development and Reform Commission (grant no. 3J115AK93429) and Jilin Provincial Science and Technology Department Medical Health Project (grant no. 3D5195001429).
Institutional review board statement: This study was reviewed and approved by the Ethics Committee of the Second Hospital of Jilin University.
Conflict-of-interest statement: The authors declare no conflict of interest.
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: http://creativecommons.org/licenses/by-nc/4.0/
Corresponding author: Yun-Gang Luo, MD, Attending Doctor, Department of Stomatology, Jilin Provincial Medicine Anti-Tumor Engineering Center, The Second Hospital of Jilin University, No. 218, Ziqiang Street, Changchun 130041, Jilin Province, China. luoygjlu@sina.com
Received: September 29, 2019
Peer-review started: September 29, 2019
First decision: November 27, 2019
Revised: December 3, 2019
Accepted: December 14, 2019
Article in press: December 14, 2019
Published online: December 28, 2019
Processing time: 90 Days and 6.7 Hours
Core Tip

Core tip: Based on the esophageal cancer-associated RNA-seq in The Cancer Genome Atlas, we studied differentially expressed genes of esophageal cancer at various stages, constructed a protein-protein interaction network, obtained 14 dysfunctional modules, and screened Hub genes. We performed enrichment analysis to predict non-coding RNA and transcription factors as well as methylation analysis of the genes in the module. A series of regulatory factors was predicted to regulate to a certain degree the potential dysfunction mechanism of esophageal cancer, which provides new insight for future studies of esophageal cancer.