BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
6/15/2024 2:49:02 AM | Browse: 141 | Download: 898
 |
Received |
|
2024-02-22 02:32 |
|
Peer-Review Started |
|
2024-02-22 02:32 |
|
First Decision by Editorial Office Director |
|
2024-03-08 01:10 |
|
Return for Revision |
|
2024-03-08 02:29 |
|
Revised |
|
2024-03-18 14:10 |
 |
Publication Fee Transferred |
|
|
|
Second Decision by Editor |
|
2024-04-24 02:47 |
|
Second Decision by Editor-in-Chief |
|
|
|
Final Decision by Editorial Office Director |
|
2024-04-24 05:34 |
|
Articles in Press |
|
2024-04-24 05:34 |
|
Edit the Manuscript by Language Editor |
|
|
|
Typeset the Manuscript |
|
2024-05-14 12:35 |
|
Publish the Manuscript Online |
|
2024-06-15 02:49 |
| 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 |
© 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
|
| 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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Prediction of pathological complete response and prognosis in locally advanced rectal cancer
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yi-Jun Xu, Dan Tao, Song-Bing Qin, Xiao-Yan Xu, Kai-Wen Yang, Zhong-Xu Xing, Ju-Ying Zhou, Yang Jiao and Li-Li Wang |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
82073476 |
| National Key R&D Program of China |
2022YFC2503700, 2022YFC2503703 |
| Jiangsu Provincial Medical Key Discipline |
ZDXK202235 |
| Innovation Research Project of Medical and Industrial Cooperation in Suzhou |
SLJ2021005 |
|
| Corresponding Author |
Li-Li Wang, MD, Chief Physician, Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, No. 899 Pinghai Road, Suzhou 215006, Jiangsu Province, China. wanglili@suda.edu.cn |
| Key Words |
Locally advanced rectal cancer; Neoadjuvant chemoradiotherapy; Pathological complete response; Carcinoembryonic antigen; Inflammation-related markers; Tumor deposit; Prognosis |
| Core Tip |
At present, there are no clinical indicators clearly related to the efficacy and long-term outcomes of neoadjuvant chemoradiotherapy (nCRT) for locally advanced rectal cancer (LARC). In this study, inflammation-related markers and tumor deposits (TDs) were added. The final results showed that pretreatment carcinoembryonic antigen ≤ 5 ng/mL, lymphocyte-monocyte ratio > 2.73, and time interval between neoadjuvant therapy completion and total mesorectal excision > 10 wk are independent predictors of nCRT efficacy in LARC patients. Patients achieving pCR have longer disease-free survival and overall survival. Among patients without pCR, TDs are positively correlated with poor prognosis. |
| Publish Date |
2024-06-15 02:49 |
| Citation |
Xu YJ, Tao D, Qin SB, Xu XY, Yang KW, Xing ZX, Zhou JY, Jiao Y, Wang LL. Prediction of pathological complete response and prognosis in locally advanced rectal cancer. World J Gastrointest Oncol 2024; 16(6): 2520-2530 |
| URL |
https://www.wjgnet.com/1948-5204/full/v16/i6/2520.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v16.i6.2520 |
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.
