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Articles in Press
11/13/2026 10:23:35 AM | Browse: 13 | Download: 0
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Translational Research |
| Article Title |
Weighted gene co-expression network of tumor and normal liver transcriptomes identifies prognostic signature in hepatocellular carcinoma
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Jun-Long Wang, Linda L Wong, Jian-Min Yuan, Jaideep Behari, Scott K Kuwada, Shao-Qiu Chen, Li Ma, You-Ping Deng, Chuong Tran and Herbert Yu |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Institutes of Health (NIH) |
R01CA255809, R01CA255809-4S |
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| Corresponding Author |
Herbert Yu, MD, PhD, University of Hawaiʻi Cancer Center, University of Hawaiʻi at Mānoa, 701 Ilalo Street
Room 519, Honolulu, HI 96813, United States. hyu@cc.hawaii.edu |
| Key Words |
Hepatocellular carcinoma; Weighted gene co-expression network analysis; The Cancer Genome Atlas; Genotype-Tissue Expression; Toil recompute; Co-expression network; Prognostic signature; MMP1; KIF2C; HOXD10 |
| Core Tip |
Most transcriptome-based prognostic signatures for hepatocellular carcinoma show limited reproducibility across external cohorts. Using harmonized The Cancer Genome Atlas-Genotype-Tissue Expression transcriptomic data and weighted gene co-expression network analysis, we identified biologically coherent tumor- and normal-associated modules and developed a candidate 3-gene prognostic signature. The model remained independently associated with overall survival after multivariable adjustment in The Cancer Genome Atlas and showed adverse prognostic associations in the same direction across six external cohorts, supporting further prospective evaluation. |
| Citation |
Wang JL, Wong LL, Yuan JM, Behari J, Kuwada SK, Chen SQ, Ma L, Deng YP, Tran C, Yu H. Weighted gene co-expression network of tumor and normal liver transcriptomes identifies prognostic signature in hepatocellular carcinoma. World J Hepatol 2026; In press
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| PDF |
125493-in-press.pdf
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Received |
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2026-07-09 06:12 |
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Peer-Review Started |
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2026-07-09 06:13 |
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First Decision by Editorial Office Director |
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Return for Revision |
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2026-08-05 17:18 |
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Revised |
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2026-08-19 11:23 |
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Publication Fee Transferred |
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2026-09-24 15:12 |
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Second Decision by Editor |
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2026-11-13 03:30 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-11-13 10:23 |
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Articles in Press |
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2026-11-13 10:23 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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| ISSN |
1948-5182 (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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| 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 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.