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GC/MS-based metabolomic approach to validate the role of urinary sarcosine and target biomarkers for human prostate cancer by microwave-assisted derivatization

机译:基于GC / MS的代谢组学方法通过微波辅助衍生化验证尿肌氨酸和靶标生物标志物在人前列腺癌中的作用

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摘要

A recent study showed that sarcosine may be potentially useful for the diagnosis and prognosis of prostate cancer (PCa). The aim of this study was to validate diagnostic value of sarcosine for PCa, to evaluate urine metabolomic profiles in patients with PCa in comparison of non-cancerous control, and to further explore the other potential metabolic biomarkers for PCa. Isotope dilution gas chromatography/mass spectrometry (ID GC/MS) metabolomic approach was applied to evaluate sarcosine using [methyl-D_3]-sarcosine as an internal standard. Microwave-assisted derivatization (MAD) together with GC/MS was utilized to obtain the urinary metabolomic information in 20 PCa patients compared with eight patients with benign prostate hypertrophy and 20 healthy men. Acquired metabolomic data were analyzed using a two-sample t test. Diagnostic models for PCa were constructed using principal component analysis and were assessed with receiver-operating characteristic curves. Results showed that the urinary sarcosine level has no statistical difference between the PCa group and the control group. In addition, nine metabolomic markers between the PCa group and the healthy male group were selected, which constructed a diagnostic model with a high area under the curve value of 0.9425. We conclude that although urinary sarcosine value has limited potential in the diagnostic algorithm of PCa, urinary metabolomic panel based on GC/MS assay following MAD may potentially become a diagnostic tool for PCa.
机译:最近的一项研究表明,肌氨酸可能对前列腺癌(PCa)的诊断和预后有用。这项研究的目的是验证肌氨酸对PCa的诊断价值,评估PCa患者的尿代谢组学谱(与非癌性对照相比),并进一步探索PCa的其他潜在代谢生物标志物。采用[甲基-D_3]-肌氨酸作为内标,应用同位素稀释气相色谱/质谱(ID GC / MS)代谢组学方法评估肌氨酸。微波辅助衍生化(MAD)与GC / MS一起用于获得20位PCa患者与8位前列腺肥大患者和20位健康男性相比的尿代谢组学信息。使用两个样本的t检验分析获得的代谢组学数据。使用主成分分析构建PCa的诊断模型,并使用接收器操作特征曲线进行评估。结果显示,PCa组与对照组的尿肌氨酸水平无统计学差异。此外,选择了PCa组和健康男性组之间的9个代谢组学标记,在0.9425的曲线值下构建了具有高面积的诊断模型。我们得出结论,尽管尿肌氨酸值在PCa的诊断算法中潜力有限,但MAD之后基于GC / MS分析的尿代谢组学可能会成为PCa的诊断工具。

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