Socioeconomic Status Modifies the Risk of Gastric Cancer Through Metabolomic Signature: Evidence From a Prospective Cohort Study

ABSTRACT The role of metabolites in the association between socioeconomic status (SES) and gastric cancer remains unclear. This study seeks to elucidate the role of metabolomics in the association between SES and gastric cancer, as well as to explore potential interactions between metabolic signatures and polygenic risk score (PRS) in the context of gastric cancer. A total of 210,437 participants from the UK Biobank were included in this study. Latent class analysis (LCA) was employed to analyze three indicators—education qualifications, total household income before tax, and employment status—to assess SES. An elastic net regression, coupled with 10‐fold cross‐validation, was employed to develop SES‐related metabolic signatures. The risk of gastric cancer was assessed using a Cox proportional hazards regression model, with adjustments made for confounding variables. During a median follow‐up of 12.6 years, we found that SES‐related metabolic signatures were negatively associated with the risk of gastric cancer, with an adjusted hazard ratio of 0.52 (95% confidence interval [CI]: 0.41–0.65) per standard deviation decrease and an adjusted hazard ratio of 0.68 (95% CI: 0.56–0.83) for high levels compared to low levels. The mediation analysis showed that SES‐related metabolic signatures mediated 9.66% of the association between SES and gastric cancer. The current study identified a range of metabolites affected by SES and revealed that these metabolic signatures partially explained the link between SES and gastric cancer risk, offering insights for potential strategies in preventing gastric cancer.

Authors

Institutions

Publication Details

Journal
iNew Medicine
Published
2026-02-03
DOI
https://doi.org/10.1002/inm3.70021
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Socioeconomic Status Modifies the Risk of Gastric Cancer Through Metabolomic Signature: Evidence From a Prospective Cohort Study

Qihong Zhao, Shangxin Zhang, Yi-Xiang Wang, Anla Hu et al.
iNew Medicine
Nutritional Studies and Diet
article

Socioeconomic Status Modifies the Risk of Gastric Cancer Through Metabolomic Signature: Evidence From a Prospective Cohort Study

Qihong Zhao, Shangxin Zhang, Yi-Xiang Wang, Anla Hu, Jing Ni, Jiawei Zhang, Wenjie Xuan, Zhuoyi Wu, Shiyin Meng
article en

Abstract

ABSTRACT The role of metabolites in the association between socioeconomic status (SES) and gastric cancer remains unclear. This study seeks to elucidate the role of metabolomics in the association between SES and gastric cancer, as well as to explore potential interactions between metabolic signatures and polygenic risk score (PRS) in the context of gastric cancer. A total of 210,437 participants from the UK Biobank were included in this study. Latent class analysis (LCA) was employed to analyze three indicators—education qualifications, total household income before tax, and employment status—to assess SES. An elastic net regression, coupled with 10‐fold cross‐validation, was employed to develop SES‐related metabolic signatures. The risk of gastric cancer was assessed using a Cox proportional hazards regression model, with adjustments made for confounding variables. During a median follow‐up of 12.6 years, we found that SES‐related metabolic signatures were negatively associated with the risk of gastric cancer, with an adjusted hazard ratio of 0.52 (95% confidence interval [CI]: 0.41–0.65) per standard deviation decrease and an adjusted hazard ratio of 0.68 (95% CI: 0.56–0.83) for high levels compared to low levels. The mediation analysis showed that SES‐related metabolic signatures mediated 9.66% of the association between SES and gastric cancer. The current study identified a range of metabolites affected by SES and revealed that these metabolic signatures partially explained the link between SES and gastric cancer risk, offering insights for potential strategies in preventing gastric cancer.

iNew Medicine
Anhui Medical University (CN), Chaohu Hospital of Anhui Medical University (CN), First Affiliated Hospital of Anhui Medical University (CN), Fourth Affiliated Hospital of Anhui Medical University (CN)
National Natural Science Foundation of China
No poverty
Openalex Percentile: Top 70%
Nutritional Studies and Diet
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.