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Global Metabolomics of Colon Cancer by Analysis of Human Plasma with LC/(+)ESI-MS

机译:用LC /(+)ESI-MS的人血浆分析结肠癌的全球性代谢组合

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Global metabolomics was applied to plasma from colon cancer patients and healthy controls with LC/MS analysis and statistical software. Statistics performed included PCA, Student's t-tests, PLS-DA and FC analyses. The 16 most intense FCs were examined (Figure 6) and putative chemical formulas/compound names determined (Table 1) with the METLIN database. The PLS-DA loadings examined 13 significant features in detail (Figure 10) and METLIN was used to determine putative chemical formulas/compound names (Table 2). Those cancer patients observed to group with controls in PCA and PLS-DA plots were missing many of the potential biomarkers shown in Figure 6. Although no known pharmaceuticals were administered to patients, METLIN assignments are being investigated in order to remove potential compounds due to alternative treatments from the statistical analysis. Future work will include structural elucidation and identification of significant features by MS/MS and NMR techniques, as well as determining the biological significance of the putative biomarkers.
机译:将全球性代谢组学应用于来自结肠癌患者的血浆和LC / MS分析和统计软件的健康对照。执行的统计数据包括PCA,学生的T-Tests,PLS-DA和FC分析。检查16个最强烈的FCS(图6)和使用Metlin数据库确定的推定的化学式/化合物名称(表1)。 PLS-DA载荷详细检查了13个显着特征(图10)和MetLin用于确定推定的化学式/化合物名称(表2)。观察到PCA和PCA-DA图中对照组的癌症患者缺失了图6所示的许多潜在的生物标志物。虽然没有给患者施用已知的药物,所以正在研究Metlin分配,以便由于替代方案去除潜在的化合物统计分析的治疗。未来的工作将包括MS / MS和NMR技术的结构阐明和鉴定显着特征,以及确定推定生物标志物的生物学意义。

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