Systematic investigation of genetically determined plasma and urinary metabolites to discover potential interventional targets for colorectal cancer

孟德尔随机化 结直肠癌 泌尿系统 代谢组 全基因组关联研究 医学 代谢组学 癌症 生物信息学 代谢物 生物 肿瘤科 内科学 单核苷酸多态性 遗传学 遗传变异 基因型 基因
作者
Jing Sun,Jianhui Zhao,Shu Zhou,Xinxuan Li,Tengfei Li,Lijuan Wang,Shuai Yuan,Dong Chen,Philip Law,Susanna C. Larsson,Susan M. Farrington,Richard S. Houlston,Malcolm G. Dunlop,Evropi Τheodoratou,Xue Li
出处
期刊:Journal of the National Cancer Institute [Oxford University Press]
标识
DOI:10.1093/jnci/djae089
摘要

Abstract Background We aimed to identify plasma and urinary metabolites related to colorectal cancer (CRC) risk and elucidate their mediator role in the associations between modifiable risk factors and CRC. Methods Metabolite quantitative trait loci were derived from two published metabolomics genome-wide association studies (GWASs), and summary-level data were extracted for 651 plasma metabolites and 208 urinary metabolites. Genetic associations with CRC were obtained from a large-scale GWAS meta-analysis (100,204 cases; 154,587 controls) and the FinnGen cohort (4,957 cases; 304,197 controls). Mendelian randomization (MR) and colocalization analyses were performed to evaluate the causal roles of metabolites in CRC. Druggability evaluation was employed to prioritize potential therapeutic targets. Multivariable MR and mediation estimation were conducted to elucidate the mediating effects of metabolites on the associations between modifiable risk factors and CRC. Results The study identified 30 plasma metabolites and four urinary metabolites for CRC. Plasma sphingomyelin and urinary lactose, which were positively associated with CRC risk, could be modulated by drug interventions (ie, Olipudase alfa, Tilactase). Thirteen modifiable risk factors were associated with nine metabolites and eight of these modifiable risk factors were associated with CRC risk. These nine metabolites mediated the effect of modifiable risk factors (Actinobacteria, BMI, waist-hip ratio, fasting insulin, smoking initiation) on CRC. Conclusion This study identified key metabolite biomarkers associated with CRC and elucidated their mediator roles in the associations between modifiable risk factors and CRC. These findings provide new insights into the etiology and potential therapeutic targets for CRC and the etiological pathways of modifiable environmental factors with CRC.
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