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首页> 外文期刊>Bulletin of the Korean Chemical Society >Rapid Screening of Phospholipid Biomarker Candidates from Prostate Cancer Urine Samples by Multiple Reaction Monitoring of UPLC-ESI-MS/MS and Statistical Approaches
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Rapid Screening of Phospholipid Biomarker Candidates from Prostate Cancer Urine Samples by Multiple Reaction Monitoring of UPLC-ESI-MS/MS and Statistical Approaches

机译:通过UPLC-ESI-MS / MS和统计方法的多反应监测从前列腺癌尿液样品中快速筛选磷脂生物标志物候选物

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摘要

Ultrahigh performance liquid chromatography-electrospray ionization-tandem mass spectrometry (UPLC-ESI-MS/MS) provides a high-speed method to screen a large number of samples for small molecules with specific properties. In this study, UPLC-ESI-MS/MS with multiple reaction monitoring (MRM) was employed to screen urinary phospholipid (PL) content for biomarkers of prostate cancer. From lists of urinary PLs structurally identified using nanoflow LC-ESI-MS/MS, 52 PL species were selected for quantitative analysis in urine samples between 22 cancer-free urologic patients as controls and 45 prostate cancer patients. Statistical treatment of data by receiver operating characteristic (ROC) analysis yielded 14 PL species that differed significantly in relative concentrations (area under curve (AUC) > 0.8) between the two groups. Among PLs present at higher levels in prostate cancer urine, phosphatidylcholines (PCs) and phosphatidylinositols (PIs) constituted the major head group PLs (3 PCs and 7 PIs). For technical reasons, PL species of low abundance may be underrepresented in data from UPLC-ESI-MS/MS performed in MRM mode. However, the proposed method enables the rapid screening of large numbers of plasma or urine samples in the search for biomarkers of human disease.
机译:超高效液相色谱-电喷雾电离串联质谱(UPLC-ESI-MS / MS)提供了一种高速方法,可以筛查大量样品中具有特定性质的小分子。在这项研究中,采用具有多反应监测(MRM)的UPLC-ESI-MS / MS来筛查前列腺癌生物标记物中尿磷脂(PL)的含量。从使用纳流LC-ESI-MS / MS在结构上鉴定出的尿液PL清单中,选择22种无癌泌尿科患者作为对照和45名前列腺癌患者之间的尿液样品中52种PL物质进行定量分析。通过接收器工作特性(ROC)分析对数据进行统计处理,得出14种PL物种,两组之间的相对浓度(曲线下面积(AUC)> 0.8)显着不同。在前列腺癌尿液中PL水平较高的PL中,磷脂酰胆碱(PC)和磷脂酰肌醇(PI)构成主要的头组PL(3个PC和7个PI)。由于技术原因,在MRM模式下执行的来自UPLC-ESI-MS / MS的数据中,低丰度PL物种可能不足。然而,所提出的方法使得能够快速筛选大量血浆或尿液样品以寻找人类疾病的生物标记。

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