代谢组
代谢物
结直肠癌
医学
代谢组学
内科学
逻辑回归
肿瘤科
队列
混淆
癌症
生物信息学
生物
作者
Jonathan M. Downie,Amit D. Joshi,Connor M. Geraghty,Brendan J. Guercio,Oana A. Zeleznik,Mingyang Song,Alaina M. Bever,David A. Drew,Fred K. Tabung,Shouxin Zhang,Lina Jin,A. Heather Eliassen,Walter Willett,Kana Wu,Peter Kraft,Rulla M. Tamimi,Clary B. Clish,Charles S. Fuchs,Edward L. Giovannucci,Jeffrey A. Meyerhardt,Andrew T. Chan
摘要
Abstract Background Metabolomic profiles may influence colorectal cancer (CRC) development. Few studies have performed pre-diagnostic metabolome-wide analyses with CRC risk. Methods We conducted a nested case-control study among women (Nurses’ Health Study (NHS)) and men (Health Professionals Follow-up Study (HPFS)) who provided blood between 1989 and 1995. Over 22.9 years, 684 (409 NHS, 275 HPFS) incident CRC cases occurred and were matched 1:1 to controls. Liquid chromatography-mass spectrometry (LC-MS) identified 255 plasma metabolites after quality control. Cohort-specific and combined metabolite association analyses were performed using conditional logistic regression. Metabolite set enrichment analysis (MSEA) was used to identify differential abundance in metabolite classes. Weighted Correlation Network Analysis (WGCNA) provided modules of covarying metabolites, which were tested for CRC association. Results MSEA identified specific acylcarnitines associated with higher CRC risk and triacylglycerols with lower CRC risk among women and men. Further, phosphatidylcholines were associated with a higher risk of CRC among men. In an analysis restricted to CRC cases diagnosed two years after blood draw, myristoleic acid (OR = 1.37; 95%CI = 1.15-1.62; FDR = 0.072) and C60:12 triacylglycerol (OR = 0.75; 95%CI = 0.64-0.88; FDR = 0.072 were associated with CRC risk in women. WGCNA identified amino acids associated with CRC in men, fatty acid esters (carnitines) with distal CRC in men, and triradylcglycerols inversely associated with CRC in women. Conclusions We identified pre-diagnostic CRC-associated metabolites with distinct sex-specific profiles. These results provide insight into CRC etiopathogenesis and have implications for risk prediction strategies.
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