Disease burden of oesophageal cancer attributable to genetic variants and alcohol consumption in Hong Kong, China

Background: Previous studies have identified a gene-environment interaction between the ALDH2*2 allele and alcohol consumption, but there is limited information on their contributions to disease burden in the general population, particularly in East Asia. We aim to assess the population-based disease burden of oesophageal cancer considering genetic variants and alcohol exposure in Hong Kong, China. Methods: We conducted random-effects meta-analyses to determine the pooled relative risk of oesophageal cancer for drinkers with the ALDH2*2 polymorphism in East Asia. We estimated the population attributable risk (PAR) for oesophageal cancers in Hong Kong, using the odds ratios (ORs) of alcohol consumption on oesophageal cancer for ALDH2*2 carriers, which were multiplied by age-sex-specific morbidity to compute estimates of attributable cases. Findings: Meta-analysis of 25 studies revealed that people with the ALDH2*2 polymorphism and higher level of alcohol exposure had a significantly greater risk of developing oesophageal cancer compared to individuals without the ALDH2*2 genotype who never consumed alcohol (no drinker: 1.21 [95% CI 0.97 – 1.52, light: 2.57 [1.92 – 3.44], moderate: 6.38 [4.21 – 9.67], and heavy: 36.00 [11.33 – 114.38]). In Hong Kong 2021, 34.6% [19.1-47.9] oesophageal cancer cases diagnosed were attributable to alcohol consumption, 19.2% [9.5-28.1] were attributable to ALDH2*2 polymorphism, while 44.1% [22.3-65.2] were attributable to the joint alcohol consumption and ALDH2*2 polymorphism. Males account for larger attributable disease burden due to alcohol and ALDH2*2 polymorphism (Male 49% vs Female 24%). Interpretation: This study implicates the importance of implementing a tailored oesophageal cancer screening program for individuals with the ALDH2*2 genotype in East Asia, emphasizing its importance for public health and policy. Despite limitations in relying on observational data, the study's strength lies in its comprehensive meta-analysis and regional population-based estimates, providing compelling evidence for the gene-environment interaction between the ALDH2*2 allele and alcohol consumption in relation to oesophageal cancer risk in East Asian populations. Funding: Health and Medical Research Fund (HMRF), Health Bureau, Government of Hong Kong SAR, China [20211791].

Authors

Institutions

Publication Details

Journal
The Lancet Regional Health - Western Pacific
Published
2025-02-01
DOI
https://doi.org/10.1016/j.lanwpc.2024.101348
Primary Topic
Esophageal Cancer Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Disease burden of oesophageal cancer attributable to genetic variants and alcohol consumption in Hong Kong, China

Jianchao Quan, Xuechen Xiong, Carmen D. Ng, Ziyi Peng
The Lancet Regional Health - Western Pacific
Esophageal Cancer Research and Treatment
article

Disease burden of oesophageal cancer attributable to genetic variants and alcohol consumption in Hong Kong, China

Jianchao Quan, Xuechen Xiong, Carmen D. Ng, Ziyi Peng
article en

Abstract

Background: Previous studies have identified a gene-environment interaction between the ALDH2*2 allele and alcohol consumption, but there is limited information on their contributions to disease burden in the general population, particularly in East Asia. We aim to assess the population-based disease burden of oesophageal cancer considering genetic variants and alcohol exposure in Hong Kong, China. Methods: We conducted random-effects meta-analyses to determine the pooled relative risk of oesophageal cancer for drinkers with the ALDH2*2 polymorphism in East Asia. We estimated the population attributable risk (PAR) for oesophageal cancers in Hong Kong, using the odds ratios (ORs) of alcohol consumption on oesophageal cancer for ALDH2*2 carriers, which were multiplied by age-sex-specific morbidity to compute estimates of attributable cases. Findings: Meta-analysis of 25 studies revealed that people with the ALDH2*2 polymorphism and higher level of alcohol exposure had a significantly greater risk of developing oesophageal cancer compared to individuals without the ALDH2*2 genotype who never consumed alcohol (no drinker: 1.21 [95% CI 0.97 – 1.52, light: 2.57 [1.92 – 3.44], moderate: 6.38 [4.21 – 9.67], and heavy: 36.00 [11.33 – 114.38]). In Hong Kong 2021, 34.6% [19.1-47.9] oesophageal cancer cases diagnosed were attributable to alcohol consumption, 19.2% [9.5-28.1] were attributable to ALDH2*2 polymorphism, while 44.1% [22.3-65.2] were attributable to the joint alcohol consumption and ALDH2*2 polymorphism. Males account for larger attributable disease burden due to alcohol and ALDH2*2 polymorphism (Male 49% vs Female 24%). Interpretation: This study implicates the importance of implementing a tailored oesophageal cancer screening program for individuals with the ALDH2*2 genotype in East Asia, emphasizing its importance for public health and policy. Despite limitations in relying on observational data, the study's strength lies in its comprehensive meta-analysis and regional population-based estimates, providing compelling evidence for the gene-environment interaction between the ALDH2*2 allele and alcohol consumption in relation to oesophageal cancer risk in East Asian populations. Funding: Health and Medical Research Fund (HMRF), Health Bureau, Government of Hong Kong SAR, China [20211791].

The Lancet Regional Health - Western PacificVol. 55
University of Hong Kong (HK)
Good health and well-being
Openalex Percentile: Top 95%
Esophageal Cancer Research and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.