Cumulative Evidence for Associations between Genetic Variants and Risk of Esophageal Cancer.


Journal

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
ISSN: 1538-7755
Titre abrégé: Cancer Epidemiol Biomarkers Prev
Pays: United States
ID NLM: 9200608

Informations de publication

Date de publication:
04 2020
Historique:
received: 15 10 2019
revised: 06 12 2019
accepted: 17 01 2020
pubmed: 24 1 2020
medline: 7 7 2021
entrez: 24 1 2020
Statut: ppublish

Résumé

A large number of studies have been conducted to investigate associations between genetic variants and esophageal cancer risk in the past several decades. However, findings from these studies have been generally inconsistent. We aimed to provide a summary of the current understanding of the genetic architecture of esophageal cancer susceptibility. We performed a comprehensive field synopsis and meta-analysis to evaluate associations between 95 variants in 70 genes or loci and esophageal cancer risk using data from 304 eligible publications, including 104,904 cases and 159,797 controls, through screening a total of 21,328 citations. We graded levels of cumulative epidemiologic evidence of a significant association with esophageal cancer using the Venice criteria and false-positive report probability tests. We constructed functional annotations for these variants using data from the Encyclopedia of DNA Elements Project and other databases. Thirty variants were nominally significantly associated with esophageal cancer risk. Cumulative epidemiologic evidence of a significant association with overall esophageal cancer, esophageal squamous cell carcinoma, or esophageal adenocarcinoma was strong for 13 variants in or near 13 genes ( Our study summarizes the current literature on the genetic architecture of esophageal cancer susceptibility and identifies several potential polymorphisms that could be involved in esophageal cancer susceptibility. These findings provide direction for future studies to identify new genetic factors for esophageal cancer.

Sections du résumé

BACKGROUND
A large number of studies have been conducted to investigate associations between genetic variants and esophageal cancer risk in the past several decades. However, findings from these studies have been generally inconsistent. We aimed to provide a summary of the current understanding of the genetic architecture of esophageal cancer susceptibility.
METHODS
We performed a comprehensive field synopsis and meta-analysis to evaluate associations between 95 variants in 70 genes or loci and esophageal cancer risk using data from 304 eligible publications, including 104,904 cases and 159,797 controls, through screening a total of 21,328 citations. We graded levels of cumulative epidemiologic evidence of a significant association with esophageal cancer using the Venice criteria and false-positive report probability tests. We constructed functional annotations for these variants using data from the Encyclopedia of DNA Elements Project and other databases.
RESULTS
Thirty variants were nominally significantly associated with esophageal cancer risk. Cumulative epidemiologic evidence of a significant association with overall esophageal cancer, esophageal squamous cell carcinoma, or esophageal adenocarcinoma was strong for 13 variants in or near 13 genes (
CONCLUSIONS
Our study summarizes the current literature on the genetic architecture of esophageal cancer susceptibility and identifies several potential polymorphisms that could be involved in esophageal cancer susceptibility.
IMPACT
These findings provide direction for future studies to identify new genetic factors for esophageal cancer.

Identifiants

pubmed: 31969372
pii: 1055-9965.EPI-19-1281
doi: 10.1158/1055-9965.EPI-19-1281
doi:

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

838-849

Informations de copyright

©2020 American Association for Cancer Research.

Auteurs

Gaoming Li (G)

Department of Health Statistics, Army Medical University, Chongqing, China.

Qiuyue Song (Q)

Department of Health Statistics, Army Medical University, Chongqing, China.

Yuxing Jiang (Y)

Medical Department, The 305 Hospital of Chinese People's Liberation Army, Beijing, China.

Angsong Cai (A)

Department of Health Statistics, Army Medical University, Chongqing, China.

Yong Tang (Y)

Department of Health Statistics, Army Medical University, Chongqing, China.

Ning Tang (N)

Department of Health Statistics, Army Medical University, Chongqing, China.

Dali Yi (D)

Department of Health Statistics, Army Medical University, Chongqing, China.

Rui Zhang (R)

Department of Health Statistics, Army Medical University, Chongqing, China.

Zeliang Wei (Z)

Department of Health Statistics, Army Medical University, Chongqing, China.

Dingxin Liu (D)

Department of Statistics, Chongqing Technology and Business University, Chongqing, China.

Jia Chen (J)

Department of Health Statistics, Army Medical University, Chongqing, China.

Yanqi Zhang (Y)

Department of Health Statistics, Army Medical University, Chongqing, China.

Ling Liu (L)

Department of Health Statistics, Army Medical University, Chongqing, China.

Yazhou Wu (Y)

Department of Health Statistics, Army Medical University, Chongqing, China. yd_house@163.com ben.zhang@tmmu.edu.cn asiawu5@sina.com.

Ben Zhang (B)

Department of Epidemiology and Biostatistics, First Affiliated Hospital, Army Medical University, Chongqing, China. yd_house@163.com ben.zhang@tmmu.edu.cn asiawu5@sina.com.

Dong Yi (D)

Department of Health Statistics, Army Medical University, Chongqing, China. yd_house@163.com ben.zhang@tmmu.edu.cn asiawu5@sina.com.

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