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Articles Published Processes
1/20/2026 9:06:32 AM | Browse: 68 | Download: 264
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Received |
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2025-09-18 04:07 |
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Peer-Review Started |
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2025-09-18 04:07 |
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First Decision by Editorial Office Director |
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2025-10-10 08:51 |
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Return for Revision |
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2025-10-10 08:51 |
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Revised |
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2025-10-12 16:15 |
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Publication Fee Transferred |
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2025-10-18 03:10 |
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Second Decision by Editor |
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2025-12-01 03:10 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-12-01 08:48 |
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Articles in Press |
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2025-12-01 08:48 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-01-08 00:43 |
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Publish the Manuscript Online |
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2026-01-20 09:06 |
| ISSN |
2218-4333 (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) 2025. 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 |
Immunology |
| Manuscript Type |
Retrospective Cohort Study |
| Article Title |
Development and internal validation of an immune-based prognostic modeling of early-onset colorectal cancer via machine learning
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Xiu Chen, Yong Wang, Heng-Yang Shen, Rui Wu and Zan Fu |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
82172956 |
| Jiangsu Province Capability Improvement Project through Science, Technology and Education (Jiangsu Provincial Medical Key Discipline) |
ZDXK202222 |
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| Corresponding Author |
Zan Fu, MD, Professor, Department of General Surgery, The First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Road, Nanjing 210029, Jiangsu Province, China. fuzan1971@njmu.edu.cn |
| Key Words |
Early-onset colorectal cancer; Progression-free survival; Immune markers; Machine learning; Prognostic modeling |
| Core Tip |
Early-onset colorectal cancer (EOCRC) represents a growing public health challenge, characterized by aggressive biology and poor prognosis in young adults. While circulating immune cells play a pivotal role in cancer progression, their prognostic utility in EOCRC remains underexplored. In this study, we leveraged machine learning techniques to develop and validate a novel prognostic model integrating disease stage with peripheral cluster of differentiation 16+ cluster of differentiation 56+ natural killer cell percentages. Our parsimonious Cox model demonstrated moderate discriminatory accuracy and clear risk stratification, with high-risk patients exhibiting significantly inferior progression-free survival. These findings highlight systemic natural killer cell dysfunction as a potential biomarker and immunotherapy target for EOCRC. |
| Publish Date |
2026-01-20 09:06 |
| Citation |
Chen X, Wang Y, Shen HY, Wu R, Fu Z. Development and internal validation of an immune-based prognostic modeling of early-onset colorectal cancer via machine learning. World J Clin Oncol 2026; 17(1): 114238 |
| URL |
https://www.wjgnet.com/2218-4333/full/v17/i1/114238.htm |
| DOI |
https://dx.doi.org/10.5306/wjco.v17.i1.114238 |
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