Association of genetic variants in soy isoflavones metabolism-related genes with decreased lung cancer risk.

Gene

The Key Laboratory of Advanced Interdisciplinary Studies, The First Affiliated Hospital, The Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511436, PR China. Electronic address:

Published: November 2024

Background: Soy isoflavones have been reported to exhibit anti-tumor effects. We hypothesize that genetic variants in soy isoflavone metabolism-related genes are associated with the risk of lung cancer.

Methods: A two-stage case-control study design was conducted in this study. The discovery stage included 300 lung cancer cases and 600 healthy controls to evaluate the association of candidate genetic variants with lung cancer risk. The validation stage involved 1200 cases and 1200 controls to validate the associations found. Furthermore, qPCR was performed to assess the mRNA expression levels of different genotypes of the SNP. ELISA was used to explore the association between genotype and soy isoflavone levels, as well as the association between soy isoflavone levels and lung cancer risk.

Results: A nonlinear association was observed between plasma soy isoflavone levels and lung cancer risk, with higher soy isoflavone levels associated with lower lung cancer risk (P < 0.001). The two-stage case-control study identified that UGT1A1 rs3755319 A > C was associated with decreased lung cancer risk (Recessive model: adjusted OR = 0.69, 95 %CI = 0.57-0.84, P < 0.001). Moreover, eQTL analysis showed that the expression level of UGT1A1 in the rs3755319 CC genotype was lower than in the AA + AC genotype (P < 0.05). The plasma concentration of soy isoflavones in the rs3755319 CC genotype was higher than in the AA + AC genotype (P = 0.008).

Conclusions: We identified a potentially functional SNP, UGT1A1 rs3755319 A > C, as being associated with decreased lung cancer risk. Further experiments will be needed to explore the mechanisms underlying the observed associations.

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Source
http://dx.doi.org/10.1016/j.gene.2024.148732DOI Listing

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