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Author Spotlight: Genetic Profiling for Fluorouracil Response in Gastric Cancer
Published on: May 10, 2024
Interactions between folate metabolism-related nutrients and polymorphisms on colorectal cancer risk: a case-control
Sara Corchero-Palacios1, Iker Alegria-Lertxundi1, Marian M de Pancorbo2,3
1Department of Pharmacy and Food Sciences, Faculty of Pharmacy, University of the Basque Country UPV/EHU, Vitoria-Gasteiz (Araba/Álava), 01006, Spain.
Abstract:
Folate-mediated one-carbon metabolism (FOCM) plays an important role in colorectal carcinogenesis. Previous studies have assessed the role of folate-mediated one-carbon metabolism (FOCM)-related gene-diet interaction in the aetiology of colorectal cancer (CRC), however, the results remained inconclusive. Thus, this study aimed to investigate dietary factors and genetic variants related to FOCM, as well as potential nutrient-gene and nutrient-lifestyle interactions, on CRC risk. This observational study included 229 patients diagnosed with CRC and 229 age- and sex-matched subjects as controls from a population-based bowel cancer screening program. Conditional logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (95%CI) for CRC risk. A Bonferroni-corrected threshold of α = 0.005 was considered significant, and P values less than 0.05 were considered to be suggestive of an association. After Bonferroni correction, a high dietary intake of betaine was associated with a decreased risk of CRC in the adjusted model (OR, 95% CI: 0.21, 0.10-0.40, P < 0.001). Two SNPs, rs1476413 and rs17824591, exhibited significant gene-diet interactions with total choline ad vitamin B12 intakes, respectively, in adjusted models (total choline, tertile 3 vs. 1, OR, 95% CI: 0.25, 0.11-0.66, Pinteraction = 0.012; vitamin B12, tertile 2 vs. tertile 1, OR, 95% CI: 2.48, 1.04-5.00, Pinteraction = 0.003). These findings suggest that betaine intake and interactions between some dietary factors and variants in MTHFR and MTHFD1 genes have an influence on CRC risk in the population studied. If these results are confirmed, specific nutritional intervention strategies could be designed.
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