Wang XY, Wang LL, Liang SZ, Yang C, Xu L, Yu MC, Wang YX, Dong QJ. Prediction of gastric cancer risk by a polygenic risk score of Helicobacter pylori. World J Gastrointest Oncol 2022; 14(9): 1844-1855 [PMID: 36187384 DOI: 10.4251/wjgo.v14.i9.1844]
Corresponding Author of This Article
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
Research Domain of This Article
Oncology
Article-Type of This Article
Evidence-Based Medicine
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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/
Xiao-Yu Wang, Li-Li Wang, Shu-Zhen Liang, Lin Xu, Meng-Chao Yu, Yi-Xuan Wang, Quan-Jiang Dong, Central Laboratories and Department of Gastroenterology, Qingdao Municipal Hospital, Qingdao University, Qingdao 266071, Shandong Province, China
Chao Yang, The Center for Microbes, Development and Health, CAS Key Laboratory of Molecular Virology and Immunology, Institute Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai 200000, China
Author contributions: Yang C and Liang SZ collected sequencing data; Xu L and Yu MC analyzed the data; Wang XY wrote the manuscript; Wang LL and Wang YX wrote the discussion part of the manuscript; Dong QJ designed the research and supervised the manuscript; and all authors reviewed the manuscript and approved the final version of the manuscript.
Supported bythe National Natural Science Foundation of China, No. 31870777.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
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/
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
Received: March 14, 2022 Peer-review started: March 14, 2022 First decision: April 17, 2022 Revised: April 29, 2022 Accepted: August 15, 2022 Article in press: August 15, 2022 Published online: September 15, 2022 Processing time: 179 Days and 4.6 Hours
ARTICLE HIGHLIGHTS
Research background
Multiple single nucleotide polymorphisms (SNPs) of Helicobacter pylori (H. pylori) associated with gastric cancer have been identified through bacterial genome-wide association studies. Polygenic risk score (PRS) calculated as a sum of effect of SNPs provides a tool for assessing genetic impact on diseases.
Research motivation
Predicting risk of gastric cancer is a major concern in the management of the H. pylori infection.
Research objectives
This study constructed a PRS model based on H. pylori SNPs to predict the risk of gastric cancer.
Research methods
Associations between previously reported H. pylori SNPs and gastric cancer were validated in global strains. The PRS model based on the validated SNPs was evaluated by quintiles and random forest (RF) methods.
Research results
A PRS model was constructed with six validated SNPs. Quintiles and RF methods demonstrated the combination of six SNPs has a high predictive power for gastric cancer.
Research conclusions
PRS model constructed from bacterial genomic variations can be of great value for gastric cancer risk prediction.
Research perspectives
Comprehensive risk models including personal and genomic information need to be established in future studies.
