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10/24/2025 6:50:13 AM | Browse: 33 | Download: 0
Publication Name World Journal of Gastrointestinal Surgery
Manuscript ID 114574
Country Taiwan
Category Surgery
Manuscript Type Editorial
Article Title Very early recurrence in pancreatic cancer: Redefining prognostic markers and surveillance strategies
Manuscript Source Invited Manuscript
All Author List Riya Karmakar, Pratham Gade, Hsiang Chen Wang and Arvind Mukundan
Funding Agency and Grant Number
Corresponding Author Arvind Mukundan, Assistant Professor, PhD, Postdoctoral Fellow, Department of Mechanical Engineering, National Chung Cheng University, No. 168 University Road, Min Hsiung, Chiayi 62102, Taiwan. arvindmukund96@gmail.com
Key Words Pancreatic ductal adenocarcinoma; Red cell distribution width; Tumor location; Very early recurrence; Tumor; Machine learning
Core Tip Very early recurrence within 12 weeks of pancreatic cancer surgery represents surgical failure with outcome similar to palliative care. poorly separated (grade 3) tumors, pancreatic head location, and elevated red cell distribution width are emerged as key indicators. Machine learning optimized models integrated carbohydrate antigen 19-9 and S100 calcium binding protein A2 biomarkers offer precision medicine possibility, but implementation faces continuous socioeconomic obstacles requiring healthcare system transformation and collaborative international efforts.
Citation Karmakar R, Gade P, Wang HC, Mukundan A. Very early recurrence in pancreatic cancer: Redefining prognostic markers and surveillance strategies. World J Gastrointest Surg 2025; In press
Received
2025-09-23 06:07
Peer-Review Started
2025-09-23 06:07
To Make the First Decision
Return for Revision
2025-09-30 07:54
Revised
2025-10-06 07:37
Second Decision
2025-10-24 02:39
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-10-24 06:50
Articles in Press
2025-10-24 06:50
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 1948-9366 (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.
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