Hu JD, Tang HQ, Zhang Q, Fan J, Hong J, Gu JZ, Chen JL. Prediction of gastric cancer metastasis through urinary metabolomic investigation using GC/MS. World J Gastroenterol 2011; 17(6): 727-734 [PMID: 21390142 DOI: 10.3748/wjg.v17.i6.727]
Corresponding Author of This Article
Jin-Lian Chen, MD, Professor, Department of Gastroenterology, Shanghai Sixth People’s Hospital, Shanghai Jiao Tong University, Shanghai 200233, China. wqq_021002@163.com
Article-Type of This Article
Original Article
Open-Access Policy of This Article
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/
Jun-Duo Hu, Medical College, Soochow University, Suzhou 215213, Jiangsu Province, China
Jun-Duo Hu, Department of Gastroenterology, Shanghai Sixth People’s Hospital, Shanghai 200233, China
Hui-Qing Tang, Jian-Zhong Gu, Shanghai Laboratory Animal Center, Chinese Academy of Sciences, Shanghai 201615, China
Qiang Zhang, Jing Fan, Jing Hong, Jin-Lian Chen, Department of Gastroenterology, Shanghai Sixth People’s Hospital, Shanghai Jiao Tong University, Shanghai 200233, China
Author contributions: Chen JL designed and conducted the study; Hu JD analyzed the data and prepared the manuscript; Fan J, Hong J, Tang HQ and Gu JZ established the animal model; Hu JD, Zhang Q and Chen JL did the metabolomic analyses; all authors were involved in reviewing, interpreting the results and drafting the manuscript.
Supported by The Key Program of Science and Technology Commission of Shanghai Municipality, Project No. 09JC1411600; and Natural Science Foundation of Shanghai, No. 08ZR1411300
Correspondence to: Jin-Lian Chen, MD, Professor, Department of Gastroenterology, Shanghai Sixth People’s Hospital, Shanghai Jiao Tong University, Shanghai 200233, China. wqq_021002@163.com
Telephone: +86-21-64369181 Fax: +86-21-64369181
Received: August 14, 2010 Revised: September 29, 2010 Accepted: October 6, 2010 Published online: February 14, 2011
Abstract
AIM: To gain new insights into tumor metabolism and to identify possible biomarkers with potential diagnostic values to predict tumor metastasis.
METHODS: Human gastric cancer SGC-7901 cells were implanted into 24 severe combined immune deficiency (SCID) mice, which were randomly divided into metastasis group (n = 8), non-metastasis group (n = 8), and normal group (n = 8). Urinary metabolomic information was obtained by gas chromatography/mass spectrometry (GC/MS).
RESULTS: There were significant metabolic differences among the three groups (t test, P < 0.05). Ten selected metabolites were different between normal and cancer groups (non-metastasis and metastasis groups), and seven metabolites were also different between non-metastasis and metastasis groups. Two diagnostic models for gastric cancer and metastasis were constructed respectively by the principal component analysis (PCA). These PCA models were confirmed by corresponding receiver operating characteristic analysis (area under the curve = 1.00).
CONCLUSION: The urinary metabolomic profile is different, and the selected metabolites might be instructive to clinical diagnosis or screening metastasis for gastric cancer.
