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Publication Name World Journal of Gastrointestinal Oncology
Manuscript ID 81632
Country China
Category Gastroenterology & Hepatology
Manuscript Type Minireviews
Article Title Evaluation of polygenic risk score for risk prediction of gastric cancer
Manuscript Source Invited Manuscript
All Author List Xiao-Yu Wang, Li-Li Wang, Lin Xu, Shu-Zhen Liang, Meng-Chao Yu, Qiu-Yue Zhang and Quan-Jiang Dong
Funding Agency and Grant Number
Funding Agency Grant Number
National Natural Science Foundation of China 31870777
Corresponding Author Quan-Jiang Dong, MD, PhD, Chief Doctor, Professor, Central Laboratories and Department of Gastroenterology, Qingdao Municipal Hospital, Qingdao University, No. 5 Donghai Middle Road, Qingdao 266071, Shandong Province, China. allyking114@126.com
Key Words Polygenic risk scores; Gastric cancer; Helicobacter pylori; Gastric microbiome
Core Tip A systematic review was conducted to evaluate current polygenic risk score (PRS) models in gastric cancer risk prediction. Our study showed that PRS models had the potential to predict the risk of gastric cancer with a moderate accuracy. The prediction models’ performance could be improved after incorporating epidemiological factors or Helicobacter pylori (H. pylori) status. The potential of H. pylori genomic variations and members of the gastric microbiome were discussed as candidates for gastric cancer prediction models.
Citation Wang XY, Wang LL, Xu L, Liang SZ, Yu MC, Zhang QY, Dong QJ. Evaluation of polygenic risk score for risk prediction of gastric cancer. World J Gastrointest Oncol 2023; 15(2): 276-285
Received
2022-11-18 02:19
Peer-Review Started
2022-11-18 02:21
To Make the First Decision
Return for Revision
2023-01-03 07:14
Revised
2023-01-11 13:19
Second Decision
2023-02-02 03:26
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2023-02-02 13:14
Articles in Press
2023-02-02 13:14
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2023-02-07 06:44
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/
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