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Exploratory metabolomic study to identify blood-based biomarkers as a potential screen for colorectal cancer.
Molecular Omics ( IF 2.9 ) Pub Date : 2019-02-11 , DOI: 10.1039/c8mo00158h
Isaac Asante 1 , Hua Pei , Eugene Zhou , Siyu Liu , Darryl Chui , EunJeong Yoo , David V Conti , Stan G Louie
Affiliation  

INTRODUCTION colorectal cancer (CRC) continues to be difficult to diagnose due to the lack of reliable and predictive biomarkers. OBJECTIVE to identify blood-based biomarkers that can be used to distinguish CRC cases from controls. METHODS a workflow for untargeted followed by targeted metabolic profiling was conducted on the plasma samples of 26 CRC cases and ten healthy volunteers (controls) using liquid chromatography-mass spectrometry (LCMS). The data acquired in the untargeted scan was processed and analyzed using MarkerView™ software. The significantly different ions that distinguish CRC cases from the controls were identified using a mass-based human metabolome search. The result was further used to inform the targeted scan workflow. RESULTS the untargeted scan yielded putative biomarkers some of which were related to the folate-dependent one-carbon metabolism (FOCM). Analysis of the targeted scan found the plasma levels of nine FOCM metabolites to be significantly different between cases and controls. The classification models of the cases and controls, in both the targeted and untargeted approaches, each yielded a 97.2% success rate after cross-validation. CONCLUSION we have identified plasma metabolites with screening potential to discriminate between CRC cases and controls.

中文翻译:

探索性代谢组学研究,以确定基于血液的生物标志物作为结直肠癌的潜在筛查手段。

简介 由于缺乏可靠的预测性生物标志物,结直肠癌 (CRC) 的诊断仍然很困难。目的是识别可用于区分结直肠癌病例和对照的血液生物标志物。方法 使用液相色谱-质谱法 (LCMS) 对 26 名 CRC 病例和 10 名健康志愿者(对照)的血浆样本进行非靶向随后靶向代谢分析的工作流程。使用 MarkerView™ 软件对非靶向扫描中获取的数据进行处理和分析。使用基于质量的人类代谢组搜索来识别区分 CRC 病例和对照的显着不同离子。结果进一步用于指导目标扫描工作流程。结果非靶向扫描产生了假定的生物标志物,其中一些与叶酸依赖性一碳代谢(FOCM)有关。对靶向扫描的分析发现,病例和对照之间九种 FOCM 代谢物的血浆水平存在显着差异。病例和对照的分类模型,无论是有针对性的还是无针对性的方法,在交叉验证后均取得了 97.2% 的成功率。结论 我们已经鉴定出具有筛选潜力的血浆代谢物,可以区分 CRC 病例和对照。
更新日期:2019-02-13
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