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) 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 |
Medical Informatics |
Manuscript Type |
Observational Study |
Article Title |
Establishment of a cholangiocarcinoma risk evaluation model based on mucin expression levels
|
Manuscript Source |
Unsolicited Manuscript |
All Author List |
Chun-Yuan Yang, Li-Mei Guo, Yang Li, Guang-Xi Wang, Xiao-Wei Tang, Qiu-Lu Zhang, Ling-Fu Zhang and Jian-Yuan Luo |
ORCID |
|
Funding Agency and Grant Number |
|
Corresponding Author |
Li-Mei Guo, MD, Doctor, Doctor, Professor, Department of Pathology, Institute of Systems Biomedicine, School of Basic Medical Sciences Peking University, Peking University Third Hospital, Peking University Health Science Center, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China. guolimei@bjmu.edu.cn |
Key Words |
Mucin; Cholangiocarcinoma; Single-cell RNA sequencing; Spatial transcriptomics; Prognosis |
Core Tip |
In this study, we have conducted a comprehensive investigation of mucins in cholangiocarcinoma (CCA) using a combination of bioinformatics analysis, including single-cell RNA sequencing and spatial transcriptomics, along with experimental validations. Our findings highlight the significant roles of MUC1, MUC4, and MUC5B in CCA metabolism, contributing to tumor progression and therapy resistance. Additionally, MUC5AC has been identified as a regulator of CCA invasiveness through the WNT signaling. MUC13 and MUC16 are found to play critical roles in tumor-immune interactions, regulating antitumoral immune defense. The collect impact of these mucins enables the development of a CCA prognosis evaluation model that effectively predicts tumor malignancy, treatment effectiveness, and prognosis in CCA cases. |
Publish Date |
2024-04-11 02:23 |
Citation |
Yang CY, Guo LM, Li Y, Wang GX, Tang XW, Zhang QL, Zhang LF, Luo JY. Establishment of a cholangiocarcinoma risk evaluation model based on mucin expression levels. World J Gastrointest Oncol 2024; 16(4): 1344-1360 |
URL |
https://www.wjgnet.com/1948-5204/full/v16/i4/1344.htm |
DOI |
https://dx.doi.org/10.4251/wjgo.v16.i4.1344 |