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Peer-reviewedCC BY 4.0Nutrients

Gene–Nutrition Interaction in Gastric Cancer: miRNA-Related Polymorphisms in CTSF and NT5E, Dietary Exposures, and Site-Specific Risk

  1. 1Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350122, China
  2. 2Key Laboratory of Environment and Health, Fujian Province University, Fuzhou 350122, China
  3. 3The First Hospital of Putian City, Putian 351100, China

Abstract

Background: Gastric cancer (GC) is a leading cause of cancer death in China, particularly in rural high-incidence areas. miRNA-related SNPs may interact with diet to influence GC risk. We therefore examined miRNA-related SNPs in COPS2, CTSF, and NT5E, together with their cognate miRNAs, and assessed their interactions with dietary factors in overall, cardia, and non-cardia GC. Methods: A 1:1 matched case-control study included 550 GC cases and 550 controls from a high-incidence county in Fujian, China. Eight miRNA-related SNPs were genotyped, and seven conforming to Hardy–Weinberg equilibrium were included in the final analysis. Conditional logistic regression and generalized multifactor dimensionality reduction (GMDR) were used to assess associations and interactions. Results: CTSF rs4576 was associated with increased overall and non-cardia GC risk. NT5E rs6913634 was associated with increased overall and cardia GC risk, whereas miR-30a rs2222722 was associated with increased risk of cardia GC only. GMDR identified hard-food preference, pickled vegetable intake, and rs4576 as the best interaction model for overall GC. A positive additive interaction was observed between rs4576 and hard-food preference (RERI = 1.65, 95% CI: 0.049–3.26). G-allele carriers with hard-food preference or pickled vegetable intake had markedly elevated joint risks. Conclusions: miRNA-related polymorphisms in CTSF and NT5E and in miR-30a showed subsite-related association patterns in this high-risk Chinese population; however, without formal between-subsite heterogeneity tests, these should be interpreted as observed patterns rather than established subtype-specific differences. Additionally, the preliminary positive additive interaction between rs4576 and hard-food preference points to a potential gene–diet interaction that warrants validation in independent populations before it can inform dietary prevention.

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BibTeX
@article{wang2026genenutrition,
  title = {{Gene–Nutrition Interaction in Gastric Cancer: miRNA-Related Polymorphisms in CTSF and NT5E, Dietary Exposures, and Site-Specific Risk}},
  author = {Dan Wang and Shilin Chen and Yalan Li and Ruoyu Li and Peifang Liu and Yu Jiang and Jianjun Xiang and Wei Yan and Chuancheng Wu},
  journal = {Nutrients},
  year = {2026},
  month = oct,
  doi = {10.3390/nu18213574},
  url = {https://www.mdpi.com/2072-6643/18/21/3574},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Gene–Nutrition Interaction in Gastric Cancer: miRNA-Related Polymorphisms in CTSF and NT5E, Dietary Exposures, and Site-Specific Risk
AU  - Dan Wang
AU  - Shilin Chen
AU  - Yalan Li
AU  - Ruoyu Li
AU  - Peifang Liu
AU  - Yu Jiang
AU  - Jianjun Xiang
AU  - Wei Yan
AU  - Chuancheng Wu
PY  - 2026
DA  - 2026/10/29
JO  - Nutrients
DO  - 10.3390/nu18213574
UR  - https://www.mdpi.com/2072-6643/18/21/3574
AB  - Background: Gastric cancer (GC) is a leading cause of cancer death in China, particularly in rural high-incidence areas. miRNA-related SNPs may interact with diet to influence GC risk. We therefore examined miRNA-related SNPs in COPS2, CTSF, and NT5E, together with their cognate miRNAs, and assessed their interactions with dietary factors in overall, cardia, and non-cardia GC. Methods: A 1:1 matched case-control study included 550 GC cases and 550 controls from a high-incidence county in Fujian, China. Eight miRNA-related SNPs were genotyped, and seven conforming to Hardy–Weinberg equilibrium were included in the final analysis. Conditional logistic regression and generalized multifactor dimensionality reduction (GMDR) were used to assess associations and interactions. Results: CTSF rs4576 was associated with increased overall and non-cardia GC risk. NT5E rs6913634 was associated with increased overall and cardia GC risk, whereas miR-30a rs2222722 was associated with increased risk of cardia GC only. GMDR identified hard-food preference, pickled vegetable intake, and rs4576 as the best interaction model for overall GC. A positive additive interaction was observed between rs4576 and hard-food preference (RERI = 1.65, 95% CI: 0.049–3.26). G-allele carriers with hard-food preference or pickled vegetable intake had markedly elevated joint risks. Conclusions: miRNA-related polymorphisms in CTSF and NT5E and in miR-30a showed subsite-related association patterns in this high-risk Chinese population; however, without formal between-subsite heterogeneity tests, these should be interpreted as observed patterns rather than established subtype-specific differences. Additionally, the preliminary positive additive interaction between rs4576 and hard-food preference points to a potential gene–diet interaction that warrants validation in independent populations before it can inform dietary prevention.
SN  - 2072-6643
ER  -