BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
2/14/2025 10:33:57 AM | Browse: 120 | Download: 598
 |
Received |
|
2024-09-06 07:54 |
|
Peer-Review Started |
|
2024-09-06 07:54 |
|
First Decision by Editorial Office Director |
|
2024-11-20 10:17 |
|
Return for Revision |
|
2024-11-20 10:17 |
|
Revised |
|
2024-12-04 05:37 |
 |
Publication Fee Transferred |
|
|
|
Second Decision by Editor |
|
2025-01-16 02:36 |
|
Second Decision by Editor-in-Chief |
|
|
|
Final Decision by Editorial Office Director |
|
2025-01-16 09:06 |
|
Articles in Press |
|
2025-01-16 09:06 |
|
Edit the Manuscript by Language Editor |
|
|
|
Typeset the Manuscript |
|
2025-01-22 05:23 |
|
Publish the Manuscript Online |
|
2025-02-14 10:33 |
| 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: https://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
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Pathology |
| Manuscript Type |
Basic Study |
| Article Title |
Tetrahydrocurcumin-induced apoptosis of hepatocellular carcinoma cells involves the TP53 signaling pathway, as determined by network pharmacology
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Zhuo-Cong Bao, Ye Zhang, Zhao-Dong Liu, Hui-Jun Dai, Fu Ren, Ning Li, Shang-Yu Lv and Yan Zhang |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| The Central Government Guides Local Science and Technology Development Fund |
2023JH6/100100021 |
| Liaoning Province Education Department Foundation of China |
JYTMS20231393 |
| Scientific Research Project of the Liaoning Province Education Department |
SYYX2019015 |
| Science and Technology Foundation of Shenyang Medical College |
20171004 |
| the Science and Technology Innovation Fund for Master Students of Shenyang Medical College |
Y20220509 |
| Liaoning Province Education Department Foundation of China |
LJ212410164032 |
|
| Corresponding Author |
Yan Zhang, Associate Professor, PhD, International Education School, International Exchange and Cooperation Office, Shenyang Medical College, No. 146 North Huanghe Street, Shenyang 110034, Liaoning Province, China. zhangyan@symc.edu.cn |
| Key Words |
Hepatocellular carcinoma cells; Tetrahydrocurcumin; TP53; Network pharmacology; Molecular docking |
| Core Tip |
This study investigated the molecular mechanisms by which tetrahydrocurcumin (THC), a derivative of curcumin, inhibits hepatocellular carcinoma cells. Utilizing a comprehensive approach that integrated network pharmacology, molecular docking, and in vitro experiments, the TP53 signaling pathway was identified as a critical mediator of the antitumor activity of THC. |
| Publish Date |
2025-02-14 10:33 |
| Citation |
Bao ZC, Zhang Y, Liu ZD, Dai HJ, Ren F, Li N, Lv SY, Zhang Y. Tetrahydrocurcumin-induced apoptosis of hepatocellular carcinoma cells involves the TP53 signaling pathway, as determined by network pharmacology. World J Gastrointest Oncol 2025; 17(3): 101174 |
| URL |
https://www.wjgnet.com/1948-5204/full/v17/i3/101174.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v17.i3.101174 |
All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.
