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Articles Published Processes
8/21/2020 6:42:51 AM | Browse: 689 | Download: 1894
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Received |
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2020-03-19 02:17 |
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Peer-Review Started |
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2020-03-19 02:18 |
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To Make the First Decision |
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Return for Revision |
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2020-04-18 16:33 |
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Revised |
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2020-05-27 15:14 |
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Second Decision |
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2020-07-20 10:13 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2020-07-21 23:36 |
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Articles in Press |
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2020-07-21 23:36 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2020-08-04 06:37 |
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Typeset the Manuscript |
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2020-08-17 05:34 |
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Publish the Manuscript Online |
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2020-08-21 06:42 |
| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (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/ |
| Copyright |
© The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Case Control Study |
| Article Title |
Establishment of a pattern recognition metabolomics model for diagnosis of hepatocellular carcinoma
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Peng-Cheng Zhou, Lun-Quan Sun, Li Shao, Lun-Zhao Yi, Ning Li and Xue-Gong Fan |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| the National Natural Science Foundation of China |
81800472 |
| the National Natural Science Foundation of China |
81670538 |
| the Science Foundation of Hunan Health Commission |
B2019184 |
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| Corresponding Author |
Xue-Gong Fan, MD, PhD, Professor, Department of Infectious Diseases, Xiangya Hospital, Central South University,Hunan Key Laboratory of Viral Hepatitis, No. 87 Xiangya Road, Changsha 410008, Hunan Province, China. xgfan@hotmail.com |
| Key Words |
Hepatocellular carcinoma; Pattern recognition; Metabolomics; Biomarkers; ; |
| Core Tip |
We used ultra-performance liquid chromatography-mass spectroscopy to characterize the metabolome ofserum samples. We process the multivariate data by using pattern recognition analysis and established a dignosis model that included hydroxypurine and proline. The accuracy and area under curve were 95.00% and 0.90 for the training set, respectively, and 78.95% and 0.84 for the validation set, respectively. Z test revealed that the area under curve of the model was significantly higher than that of α-fetoprotein. The results suggest that hydroxypurine and proline might be novel biomarkers for hepatocellular carcinoma, and we could use pattern recognition metabolomics model to diagnose hepatocellular carcinoma. |
| Publish Date |
2020-08-21 06:42 |
| Citation |
Zhou PC, Sun LQ, Shao L, Yi LZ, Li N, Fan XG. Establishment of a pattern recognition metabolomics model for diagnosis of hepatocellular carcinoma. World J Gastroenterol 2020; 26(31): 4607-4623 |
| URL |
https://www.wjgnet.com/1007-9327/full/v26/i31/4607.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v26.i31.4607 |
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