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©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Jul 7, 2019; 25(25): 3218-3230
Published online Jul 7, 2019. doi: 10.3748/wjg.v25.i25.3218
Published online Jul 7, 2019. doi: 10.3748/wjg.v25.i25.3218
Nuclear magnetic resonance-based metabolomics and metabolic pathway networks from patient-matched esophageal carcinoma, adjacent noncancerous tissues and urine
Jia-Hao Liang, Yan Lin, Ting Ouyang, Wan Tang, Yao Huang, Wei Ye, Jia-Yun Zhao, Zhe-Ning Wang, Department of Radiology, Second Affiliated Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China
Chang-Chun Ma, Department of Radiation Oncology, Affiliated Tumor Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China
Author contributions: Lin Y conceived and designed the experiments; Liang JH and Lin Y contributed to NMR data acquisition; Liang JH, Ouyang T, Tang W and Huang Y analyzed the data; Lin Y wrote the paper; Ye W, Zhao JY and Wang ZN contributed to sample preparation; all authors approved the final version of the manuscript for publication.
Supported by the National Natural Science Foundation of China , No. 81471729 and No. 81101102 ; the Science and Technology and Planning Project of Guangdong Province , No. 2016A020216025 ; the Research Award Fund for Outstanding Young Teachers in Higher Education Institutions , Guangdong Province, No. YQ2015245 ; the National Natural Science Foundation of Guangdong Province , No. S2011010004973 ; the Department of Education of Guangdong Province , No. 2017KTSCX071 .
Institutional review board statement: This study was reviewed and approved by the Second Affiliated Hospital, Shantou University Medical College Review Board (2018-44).
Informed consent statement: Informed consent was obtained from each subject prior to participation in this study.
Conflict-of-interest statement: The authors declare that they have no competing interests related to this study.
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: Yan Lin, PhD, Chief Doctor, Department of Radiology, Second Affiliated Hospital, Shantou University Medical College, No. 69. Dongshabei Road, Shantou 515041, Guangdong Province, China. 994809889@qq.com
Telephone: +86-13502958156
Received: January 25, 2019
Peer-review started: January 25, 2019
First decision: February 26, 2019
Revised: May 13, 2019
Accepted: May 31, 2019
Article in press: June 1, 2019
Published online: July 7, 2019
Processing time: 162 Days and 21.5 Hours
Peer-review started: January 25, 2019
First decision: February 26, 2019
Revised: May 13, 2019
Accepted: May 31, 2019
Article in press: June 1, 2019
Published online: July 7, 2019
Processing time: 162 Days and 21.5 Hours
Core Tip
Core tip: Our research provides evidence for distinct metabolic signatures and metabolic pathway disturbances between the tumor tissues and urine of esophageal cancer patients, and changes in the urinary metabolic signature could reflect reprogramming of aforementioned metabolic pathways in esophageal tumor tissues.