Evidence map›Paper›PMID 41292676›Full record

ArticleFood science & nutrition2025

Unraveling the Interplay Between Alcohol, Immunity, and Gastric Cancer: A Genomic Approach.

Ke-Jie He, Haitao Wang

Abstract read
In one paragraph

Article in Food science & nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ke-Jie HeThe Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital Quzhou Zhejiang China.ORCID https://orcid.org/0000-0001-7406-6254
Haitao WangThe School of Clinical Medical Sciences Southwest Medical University Luzhou Sichuan China.ORCID https://orcid.org/0009-0007-5486-8218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer poses a major global health burden. Immune evasion is a hallmark of gastric tumorigenesis, yet determinants of anti-tumor immunity and its interactions with cancer development remain unclear. Dietary patterns strongly influence gastric cancer risk, but studies typically examine broad lifestyle factors rather than immune cell populations. We employed Mendelian randomization to investigate potential causal effects of alcohol intake and over 700 immune cell profiles on gastric cancer susceptibility using summary statistics from genome-wide association studies. Multivariable Mendelian randomization and mediation analyses assessed combined effects. SNP annotation characterized immunophenotype-associated genes. Integrative profiling classified gastric cancer subgroups. Mendelian randomization identified immune signatures associated with altered gastric cancer risk, including increased risk from alcohol intake, CD28 on resting Treg and CD62L- HLA DR++ monocyte AC. Multivariable Mendelian randomization provided evidence that higher natural killer cell percentages may lower cancer risk, while naive-mature B cells potentially mediated alcohol's effect. Annotation implicated 104 risk-linked genes in tumorigenesis. Consensus clustering stratified patients by survival dependent on coordinated immunophenotypic programs. Focusing on ACOXL, elevated tumor expression was associated with poorer prognosis. Our study provides genetic and functional evidence linking environmental exposures, immune cell compositions and gastric cancer risk. Findings advance comprehension of disease etiology and establish an integrated immunogenomic framework with implications for precision immunotherapies and disease prevention strategies.

Indexed as

alcohol intakegastric cancerimmune cell profilesMendelian randomizationmolecular classification

Identifiers

PMID41292676
PMCPMC12641442

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.