BPG is committed to discovery and dissemination of knowledge
Articles in Press
7/28/2026 1:01:34 PM | Browse: 0 | Download: 0
| Category |
Oncology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Relationship of TRAP1, HMGB1, and p62 expression with clinicopathologic features in colon cancer tissues
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Hai-Long Guo, Yun-Peng Qi, Qiang Zhang, Jian-Jun Hao, Yu Yang, Ming-Yang Zhang and Zhen-Tao He |
| Funding Agency and Grant Number |
|
| Corresponding Author |
Zhen-Tao He, Academic Fellow, Department of General Surgery I, Third Affiliated Hospital of Qiqihar Medical University, No. 27 Taishun Street, Tiefeng District, Qiqihar 161000, Heilongjiang Province, China. hezhentao1983@qmu.edu.cn |
| Key Words |
Colon cancer; TRAP1; HMGB1; P62; Immunohistochemistry; Reverse transcription-polymerase chain reaction; Prognosis |
| Core Tip |
This study investigated the expression of TRAP1, HMGB1, and p62 in colon cancer tissues, all of which were significantly upregulated compared with adjacent normal mucosa at both protein and mRNA levels. Their high expressions were closely associated with adverse clinicopathological features including poor differentiation, lymph node metastasis, and advanced TNM stage. TRAP1 was identified as an independent predictor for lymph node metastasis and poor overall survival, showing superior prognostic value. HMGB1 also independently predicted lymph node metastasis, while p62 was correlated with tumor progression but lacked independent prognostic significance. These findings suggest that TRAP1, HMGB1, and p62 serve as promising biomarkers for colon cancer, with TRAP1 being particularly valuable for prognostic assessment. |
| Citation |
Guo HL, Qi YP, Zhang Q, Hao JJ, Yang Y, Zhang MY, He ZT. Relationship of TRAP1, HMGB1, and p62 expression with clinicopathologic features in colon cancer tissues. World J Gastrointest Oncol 2026; In press
|
| PDF |
123088-in-press.pdf
|
 |
Received |
|
2026-05-09 10:59 |
 |
Peer-Review Started |
|
2026-05-09 10:59 |
 |
First Decision by Editorial Office Director |
|
2026-05-27 01:47 |
 |
Return for Revision |
|
2026-05-27 01:47 |
 |
Revised |
|
2026-06-08 11:24 |
 |
Publication Fee Transferred |
|
2026-06-17 05:33 |
 |
Second Decision by Editor |
|
2026-07-28 02:34 |
 |
Second Decision by Editor-in-Chief |
|
|
 |
Final Decision by Editorial Office Director |
|
2026-07-28 13:01 |
 |
Articles in Press |
|
2026-07-28 13:01 |
 |
Edit the Manuscript by Language Editor |
|
|
 |
Typeset the Manuscript |
|
|
| 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 |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
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.