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2/10/2022 2:26:33 PM | Browse: 543 | Download: 2070
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Received |
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2021-08-05 00:53 |
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Peer-Review Started |
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2021-08-05 00:56 |
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First Decision by Editorial Office Director |
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2021-10-03 21:03 |
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Return for Revision |
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2021-10-03 21:03 |
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Revised |
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2021-10-09 06:55 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2022-01-06 03:31 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2022-01-06 19:08 |
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Articles in Press |
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2022-01-06 19:08 |
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Edit the Manuscript by Language Editor |
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2022-01-04 22:46 |
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Typeset the Manuscript |
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2022-02-07 01:54 |
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Publish the Manuscript Online |
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2022-02-10 14:26 |
| ISSN |
1948-5204 (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) 2022. 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 |
Basic Study |
| Article Title |
Comprehensive molecular characterization and identification of prognostic signature in stomach adenocarcinoma on the basis of energy-metabolism-related genes
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Jin-Jia Chang, Xiao-Yu Wang, Wei Zhang, Cong Tan, Wei-Qi Sheng and Mi-Die Xu |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China (General Program) |
81972249 |
| National Natural Science Foundation of China (General Program) |
81802367 |
| National Natural Science Foundation of China (General Program) |
81802361 |
| National Natural Science Foundation of China (General Program) |
82172702 |
| Shanghai Clinical Research Plan of SHDC |
SHDC2020CR4068 |
| Shanghai Clinical Science and Technology Innovation Project of Municipal Hospital |
SHDC12020102 |
| Shanghai Science and Technology Development Fund |
18ZR1408000 |
| Shanghai Science and Technology Development Fund |
21ZR1414900 |
| Shanghai Science and Technology Development Fund |
19MC1911000 |
| Clinical Research Project of Shanghai Municipal Health Committee |
20194Y0348 |
| Shanghai “Rising Stars of Medical Talents” Youth Development Program Youth Medical Talents – Specialist Program |
SHWSRS(2020)_087 |
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| Corresponding Author |
Wei-Qi Sheng, PhD, Chief Doctor, Director, Director, Professor, Teacher, Department of Pathology, Fudan University Shanghai Cancer Center, 270 Dong An Road, Shanghai 200032, China. shengweiqi2006@163.com |
| Key Words |
Gastric cancer; Molecular subtype; Energy-metabolism-related genes; Prognosis factor; Roadmap |
| Core Tip |
On the basis of 86 EMRGs that were significantly associated to patients’ progression-free survival (PFS), we propose a molecular classification dividing stomach adenocarcinoma into two subtypes: Cluster 1, most of which are young patients and display more immune and stromal cell components in tumor microenvironment and lower tumor priority; and Cluster 2, which show early stages and better PFS. Moreover, by using a three-phase training, test and validation process, we construct a 6-gene signature that can classify the prognostic risk of patients, and which present higher robustness and clinical usability compared with three previous reported prognostic gene signatures. |
| Publish Date |
2022-02-10 14:26 |
| Citation |
Chang J, Wang X, Zhang W, Tan C, Sheng W, Xu M. Comprehensive molecular characterization and identification of prognostic signature in stomach adenocarcinoma on the basis of energy-metabolism-related genes. World J Gastrointest Oncol 2022; 14(2): 478-497 |
| URL |
https://www.wjgnet.com/1948-5204/full/v14/i2/478.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v14.i2.478 |
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