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Articles Published Processes
2/25/2024 3:12:20 PM | Browse: 57 | Download: 103
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Received |
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2023-12-12 08:32 |
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Peer-Review Started |
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2023-12-12 08:32 |
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To Make the First Decision |
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Return for Revision |
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2024-01-02 09:17 |
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Revised |
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2024-01-13 12:38 |
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Second Decision |
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2024-01-24 02:46 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2024-01-24 06:21 |
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Articles in Press |
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2024-01-24 06:21 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-02-19 02:40 |
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Publish the Manuscript Online |
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2024-02-25 15:12 |
| ISSN |
1948-9366 (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) 2024. 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 |
Oncology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Nomogram model including LATS2 expression was constructed to predict the prognosis of advanced gastric cancer after surgery
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Nan Sun, Bi-Bo Tan and Yong Li |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Yong Li, PhD, Chief Doctor, Professor, Third Department of General Surgery, The Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Chang'an District, Shijiazhuang 050011, Hebei Province, China. liyong780728@163.com |
| Key Words |
Gastric cancer; LATS2; Column line graph; Prognosis; Advanced gastric cancer survival; Molecular biomarkers; Predictive analytics in oncology; Survival analysis |
| Core Tip |
This study focuses on developing a prognostic model for patients with advanced gastric cancer postsurgery by integrating LATS2 expression and clinicopathological features into a nomogram. It highlights the significance of the LATS2 gene in improving prognostic predictions beyond traditional tumor-node-metastasis staging. Our model demonstrates excellent predictive accuracy and clinical utility, which indicates its potential for enhancing individualized patient care through better risk stratification. Future studies should focus on external validation to confirm the model’s applicability across diverse patient populations. |
| Publish Date |
2024-02-25 15:12 |
| Citation |
Sun N, Tan BB, Li Y. Nomogram model including LATS2 expression was constructed to predict the prognosis of advanced gastric cancer after surgery. World J Gastrointest Surg 2024; 16(2): 518-528 |
| URL |
https://www.wjgnet.com/1948-9366/full/v16/i2/518.htm |
| DOI |
https://dx.doi.org/10.4240/wjgs.v16.i2.518 |
© 2004-2024 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
