Long Yin, Sanchez-Espiridion Beatriz, Lin Moubin, White Lindsey, Mishra Lopa, Raju Gottumakkala S, Kopetz Scott, Eng Cathy, Hildebrandt Michelle A T, Chang David W, Ye Yuanqing, Liang Dong, Wu Xifeng
Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Center for Translational Medicine, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China.
Cancer. 2017 Oct 15;123(20):4066-4074. doi: 10.1002/cncr.30829. Epub 2017 Jun 22.
Patients with colorectal adenoma polyps (PLPs) are at higher risk for developing colorectal cancer (CRC). However, the development of improved and robust biomarkers to enable the screening, surveillance, and early detection of PLPs and CRC continues to be a challenge. The aim of this study was to identify biomarkers of progression to CRC through metabolomic profiling of human serum samples with a multistage approach.
Metabolomic profiling was conducted with the Metabolon platform for 30 CRC patients, 30 PLP patients, and 30 control subjects, and this was followed by the targeted validation of the top metabolites in an additional set of 50 CRC patients, 50 PLP patients, and 50 controls with liquid chromatography-tandem mass spectrometry. Unconditional multivariate logistic regression models, adjusted for covariates, were used to evaluate associations with PLP and CRC risk.
For the discovery phase, 404 serum metabolites were detected, with 50 metabolites showing differential levels between CRC patients, PLP patients, and controls (P for trend < .05). After validation, the 3 top metabolites (xanthine, hypoxanthine, and d-mannose) were validated: lower levels of xanthine and hypoxanthine and higher levels of d-mannose were found in PLP and CRC cases versus controls. A further exploratory analysis of metabolic pathways revealed key roles for the urea cycle and caffeine metabolism associated with PLP and CRC risk. In addition, a joint effect of the top metabolites with smoking and a significant interaction with the body mass index were observed. An analysis of the ratio of hypoxanthine levels to xanthine levels indicated an association with CRC progression.
These results suggest the potential utility of circulating metabolites as novel biomarkers for the early detection of CRC. Cancer 2017;123:4066-74. © 2017 American Cancer Society.
患有结直肠腺瘤性息肉(PLP)的患者患结直肠癌(CRC)的风险更高。然而,开发改进且可靠的生物标志物以实现PLP和CRC的筛查、监测及早期检测仍然是一项挑战。本研究的目的是通过多阶段方法对人血清样本进行代谢组学分析,以识别进展为CRC的生物标志物。
使用Metabolon平台对30例CRC患者、30例PLP患者和30例对照受试者进行代谢组学分析,随后用液相色谱 - 串联质谱法对另外50例CRC患者、50例PLP患者和50例对照中的顶级代谢物进行靶向验证。使用经协变量调整的无条件多变量逻辑回归模型来评估与PLP和CRC风险的关联。
在发现阶段,检测到404种血清代谢物,其中50种代谢物在CRC患者、PLP患者和对照之间显示出差异水平(趋势P <.05)。验证后,验证了3种顶级代谢物(黄嘌呤、次黄嘌呤和D - 甘露糖):与对照相比,在PLP和CRC病例中发现黄嘌呤和次黄嘌呤水平较低,D - 甘露糖水平较高。对代谢途径的进一步探索性分析揭示了尿素循环和咖啡因代谢与PLP和CRC风险相关的关键作用。此外,观察到顶级代谢物与吸烟的联合效应以及与体重指数的显著相互作用。次黄嘌呤水平与黄嘌呤水平之比的分析表明与CRC进展相关。结论:这些结果表明循环代谢物作为CRC早期检测的新型生物标志物具有潜在用途。《癌症》2017年;123:4066 - 74。©2017美国癌症协会。