Literature DB >> 30243622

Information on Genetic Variants Does Not Increase Identification of Individuals at Risk of Esophageal Adenocarcinoma Compared to Clinical Risk Factors.

Andrew T Kunzmann1, Marisa Cañadas Garre2, Aaron P Thrift3, Úna C McMenamin4, Brian T Johnston5, Chris R Cardwell4, Lesley A Anderson4, Andrew D Spence4, Jesper Lagergren6, Shao-Hua Xie7, Laura J Smyth2, Amy Jayne McKnight2, Helen G Coleman8.   

Abstract

We previously developed a tool that identified individuals who later developed esophageal adenocarcinoma (based on age, sex, body mass index, smoking status, and prior esophageal conditions) with an area under the curve of 0.80. In this study, we collected data from 329,463 individuals in the UK Biobank cohort who were tested for genetic susceptibility to esophageal adenocarcinoma (a polygenic risk score based on 18 recognized genetic variants). We found that after inclusion of this genetic information, the area under the curve for identification of individuals who developed esophageal adenocarcinoma remained at 0.80. Testing for genetic variants associated with esophageal adenocarcinoma therefore seems unlikely to improve identification of individuals at risk of esophageal adenocarcinoma.
Copyright © 2019 AGA Institute. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cancer; Early Detection; Esophagus; Mutation; Stratification

Mesh:

Substances:

Year:  2018        PMID: 30243622     DOI: 10.1053/j.gastro.2018.09.038

Source DB:  PubMed          Journal:  Gastroenterology        ISSN: 0016-5085            Impact factor:   22.682


  5 in total

Review 1.  Global burden and epidemiology of Barrett oesophagus and oesophageal cancer.

Authors:  Aaron P Thrift
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2021-02-18       Impact factor: 46.802

2.  Identification of an Individualized Prognostic Signature Based on the RWSR Model in Early-Stage Bladder Carcinoma.

Authors:  Liyang Liu; Xiaodan Zhong; Haining Cui; Hao Zhang; Linyu Wang; Yuanning Liu
Journal:  Biomed Res Int       Date:  2020-06-04       Impact factor: 3.411

3.  Risk prediction models for esophageal cancer: A systematic review and critical appraisal.

Authors:  He Li; Dianqin Sun; Maomao Cao; Siyi He; Yadi Zheng; Xinyang Yu; Zheng Wu; Lin Lei; Ji Peng; Jiang Li; Ni Li; Wanqing Chen
Journal:  Cancer Med       Date:  2021-08-20       Impact factor: 4.452

Review 4.  Epidemiology of Barrett's Esophagus and Esophageal Adenocarcinoma: Implications for Screening and Surveillance.

Authors:  Michael B Cook; Aaron P Thrift
Journal:  Gastrointest Endosc Clin N Am       Date:  2020-10-21

Review 5.  Toward Targeted Therapies in Oesophageal Cancers: An Overview.

Authors:  Giacomo Bregni; Benjamin Beck
Journal:  Cancers (Basel)       Date:  2022-03-16       Impact factor: 6.639

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.