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Articles Published Processes
3/27/2026 6:07:04 AM | Browse: 36 | Download: 157
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Received |
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2025-10-24 09:43 |
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Peer-Review Started |
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2025-10-24 09:44 |
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First Decision by Editorial Office Director |
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2025-11-19 10:57 |
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Return for Revision |
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2025-11-19 10:57 |
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Revised |
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2025-12-01 16:49 |
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Publication Fee Transferred |
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2025-12-03 16:10 |
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Second Decision by Editor |
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2026-02-02 02:51 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-02-03 01:36 |
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Articles in Press |
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2026-02-03 01:36 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-03-17 05:51 |
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Publish the Manuscript Online |
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2026-03-27 06:07 |
| ISSN |
1007-9327 (print) and 2219-2840 (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) 2026. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| 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 |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Observational Study |
| Article Title |
MassARRAY-based KRAS and GNAS hotspot mutation analysis of cystic fluid enables accurate classification of pancreatic cystic lesions
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Wen-Fei Diao, Ming Cui, Tian-Qi Chen, Jin-Heng Xiao, Sen Yang, Qing-Yuan Zheng, Rui-Yuan Xu, Xian-Lin Han and Ya Hu |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences |
2023-I2M-2-002 |
| National High-Level Hospital Clinical Research Funding |
2022-PUMCH-D-001 |
| Peking Union Medical College Hospital Talent Cultivation Program |
UHB12625 |
| Milstein Medical Asian American Partnership (MMAAP) Foundation |
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| Noncommunicable Chronic Diseases-National Science and Technology Major Project |
2025ZD0552402 |
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| Corresponding Author |
Ya Hu, MD, Professor, Department of General Surgery, Peking Union Medical College Hospital, No. 1 Shuaifuyuan, Dongcheng District, Beijing 100730, China. huya@pumch.cn |
| Key Words |
Pancreatic cyst lesions; Cyst fluid analysis; KRAS; GNAS; MassARRAY |
| Core Tip |
Pancreatic cystic lesions (PCLs) are highly heterogenous, which included benign, pre-malignant and malignant lesions. Current diagnostic approaches for PCLs exhibit limited efficacy and accuracy. The implementation of MassARRAY-based KRAS and GNAS mutation analysis of pancreatic cystic fluids improves the precise identification of mucinous cysts and intraductal papillary mucinous neoplasms, thereby providing critical support for clinical decision-making. |
| Publish Date |
2026-03-27 06:07 |
| Citation |
Diao WF, Cui M, Chen TQ, Xiao JH, Yang S, Zheng QY, Xu RY, Han XL, Hu Y. MassARRAY-based KRAS and GNAS hotspot mutation analysis of cystic fluid enables accurate classification of pancreatic cystic lesions. World J Gastroenterol 2026; 32(13): 115710
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| URL |
https://www.wjgnet.com/1007-9327/full/v32/i13/115710.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v32.i13.115710 |
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