Key result
High metabolic risk score linked to at least ~86% higher risk of gastrointestinal cancers.
Why the study?
Emerging evidence indicates that lipid metabolism plays a crucial role in gastrointestinal cancers.
Are specific lipid metabolites associated with the risk of developing gastrointestinal cancers in cancer-free adults?
Cohort (n=112,655)
Are specific lipid metabolites associated with the risk of developing gastrointestinal cancers in cancer-free adults?
Effect estimate: HR 1.86-6.42
Specific lipid metabolites, including polyunsaturated fatty acids and docosahexaenoic acid, are associated with a lower risk of gastrointestinal cancers, highlighting their potential as noninvasive biomarkers for risk prediction.
Metabolite risk scores may support GI cancer risk stratification; leaves open incremental predictive value beyond traditional factors in validation studies.
BACKGROUND: Emerging evidence indicates that lipid metabolism plays a crucial role in gastrointestinal (GI) cancers. METHODS: This prospective cohort study included 112,655 cancer-free adults from the UK Biobank with metabolomics data at baseline. Multivariate Cox proportional hazards regression models were used to evaluate the associations between metabolites and GI cancers. LASSO regression was used to create metabolite risk scores, and their predictive performance for GI cancers was assessed using the C-statistic derived from the time-dependent ROC curves. RESULTS: A total of 93, 95, 33, 97, 129, and 29 metabolites were associated with colorectal, pancreatic, esophageal, gastric, hepatocellular, and gallbladder/biliary tract cancers, respectively. Higher levels of phospholipids to total lipids in large high-density lipoprotein percentage and monounsaturated fatty acids to total fatty acids percentage were associated with increased risk of all GI cancers (HRs from 1.09 to 1.34). Conversely, higher levels of unsaturated fatty acids, polyunsaturated fatty acids, ratio of polyunsaturated to monounsaturated fatty acids, and docosahexaenoic acid were associated with lower risk of six GI cancers (HRs from 0.69 to 0.93). The highest tertile of metabolic risk scores were positively associated with all GI cancers (HRs from 1.86 to 6.42), and new prediction models showed moderate accuracy for five-year cancer incidence (C-statistics from 0.713 to 0.793). CONCLUSIONS: Our findings highlight the significant role of lipid metabolism in GI cancers and provide potential noninvasive biomarkers for enhancing precise prevention. IMPACT: Lipid metabolism holds clinical potential for precise prevention and early intervention of GI cancers.
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Chen et al. (2025) conducted a cohort in Gastrointestinal cancers (n=112,655). Metabolite risk scores and lipid metabolism biomarkers vs. Lower tertiles/levels was evaluated on Incidence of gastrointestinal cancers (HR 1.86-6.42). The highest tertile of metabolic risk scores was positively associated with all gastrointestinal cancers (HRs from 1.86 to 6.42).
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