Document type

Article

Version

Published version

Publication date

Publication license

cc by (c) Rubín García et al., 2020
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/173806

Association between Polyphenol Intake and Gastric Cancer Risk by Anatomic and Histologic Subtypes: MCC-Spain

Journal Title

Director/Tutor

Journal ISSN

Volume Title

Abstract

Several anticancer properties have been largely attributed to phenolics in in vivo and in vitro studies, but epidemiologic evidence is still scarce. Furthermore, some classes have not been studied in relation to gastric cancer (GC). The aim of this study was to assess the relationship between the intake of phenolic acids, stilbenes, and other phenolics and the risk of developing GC and its anatomical and histological subtypes. We used data from a multi-case-control study (MCC-Spain) obtained from different regions of Spain. We included 2700 controls and 329 GC cases. Odds ratios (ORs) were calculated using mixed effects logistic regression considering quartiles of phenolic intake. Our results showed an inverse association between stilbene and lignan intake and GC risk (ORQ4 vs. Q1 = 0.47; 95% CI: 0.32-0.69 and ORQ4 vs. Q1 = 0.53; 95% CI: 0.36-0.77, respectively). We found no overall association between total phenolic acid and other polyphenol class intake and GC risk. However, hydroxybenzaldehydes (ORQ4 vs. Q1 = 0.41; 95% CI: 0.28-0.61), hydroxycoumarins (ORQ4 vs. Q1 = 0.49; 95% CI: 0.34-0.71), and tyrosols (ORQ4 vs. Q1 = 0.56; 95% CI: 0.39-0.80) were inversely associated with GC risk. No differences were found in the analysis by anatomical or histological subtypes. In conclusion, a diet high in stilbenes, lignans, hydroxybenzaldehydes, hydroxycoumarins, and tyrosols was associated with a lower GC risk. Further prospective studies are needed to confirm our results.

Citation

Citation

RUBÍN GARCÍA, María, et al. Association between Polyphenol Intake and Gastric Cancer Risk by Anatomic and Histologic Subtypes: MCC-Spain. Nutrients. 2020. Vol. 12, num. 11. [consulted: 13 of June of 2026]. Available at: https://hdl.handle.net/2445/173806

Export metadata

JSON - METS

Share record