医学
前瞻性队列研究
破折号
混淆
低风险
饮食与癌症
队列
内科学
比例危险模型
队列研究
人口学
置信区间
计算机科学
操作系统
社会学
作者
Yimin Cai,Canlin Hong,Jinxin Han,Linyun Fan,Xinyu Xiao,Jun Xiao,Yongchang Wei,Ying Zhu,Jianbo Tian,Xu Zhu,Meng Jin,Xiaoping Miao
标识
DOI:10.1016/j.ajcnut.2023.11.015
摘要
Dietary patterns have been associated with several cancers, especially gastrointestinal cancer (GIC). However, whether a healthy dietary pattern could modify the risk of GIC among people with different genetic backgrounds is not clear. The objective of the study was to investigate how dietary patterns and genetic susceptibility contribute to the risk of GIC independently and jointly. This large-scale prospective cohort study included 105,463 participants in UK Biobank who were aged 40–72 y and cancer-free at baseline. Dietary intake (Oxford WebQ) was used to calculate dietary pattern scores including dietary approach to stop hypertension (DASH) score and healthful plant-based diet index (hPDI). Genetic risk was quantified by a polygenic risk score (PRS) comprising 129 known GIC-associated loci. Cox proportional hazards regression was performed to estimate the associations of dietary patterns and PRS with GIC incidence after adjusting for potential confounders. Over a median follow-up of 11.70 y, 1,661 participants were diagnosed with GIC. DASH and hPDI were associated with 20% and 36% reductions, respectively, in GIC risk. Low PRS was associated with a 30 % decrease in GIC risk (HR: 0.70; 95% CI: 0.62, 0.79). Participants with healthy dietary scores at high-genetic risk had a lower GIC risk with HR of 0.77 (95% CI: 0.60, 0.98) for DASH and 0.66 (95% CI: 0.52, 0.84) for hPDI than those with unhealthy dietary score. Participants with both high-dietary score and low-genetic risk showed the lowest risk of GIC, with HR of 0.58 (95% CI: 0.45, 0.75) for DASH and 0.45 (95% CI: 0.34, 0.58) for hPDI. Adherence to DASH and hPDI were associated with a lower risk of some gastrointestinal cancers, and these 2 dietary patterns may partly compensate for genetic predispositions to cancer. Our results advance the development of precision medicine strategies that consider both dietary patterns and genetics to improve gastrointestinal health.
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