Metabonomics in cancer diagnosis:: mass spectrometry-based profiling of urinary nucleosides from breast cancer patients
Metabonomics in cancer diagnosis:: mass spectrometry-based profiling of urinary nucleosides from breast cancer patients
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DOI：
10.1080/13547500802012858
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发表时间：
2008-01-01
期刊：
影响因子：
2.6
通讯作者：
Kammerer, Bernd
中科院分区：
文献类型：
--
作者：
Frickenschmidt, Antje;Froehlich, Holger;Kammerer, Bernd
修饰的核苷在RNA中转录后形成。在癌症疾病中，细胞周转和RNA代谢增加，产生更高浓度的排泄修饰核苷。在本研究中，使用尿核糖核苷来区分乳腺癌患者和健康志愿者。使用亲和色谱法从尿样中提取核苷，随后通过液相色谱离子阱质谱法（LC-IT-MS）进行分析。峰面积与内标异鸟苷和尿肌酐水平有关。对于生物信息学模式识别，我们使用支持向量机。我们检查了113例乳腺癌患者（Tis-T4期）的尿液样本和99例健康志愿者的对照样本。当包括31个核苷时，我们获得了87.67%的灵敏度和89.90%的特异性。基于尿核苷谱的医学代谢组学概念揭示了与目前应用的乳腺癌生物标志物如CA 15 -3相比显著改善的分类。
Modified nucleosides are formed post-transcriptionally in RNA. In cancer disease, the cell turnover and thus RNA metabolism is increased, yielding higher concentrations of excreted modified nucleosides. In the presented study, urinary ribonucleosides were used to differentiate between breast cancer patients and healthy volunteers. The nucleosides were extracted from urine samples using affinity chromatography and subsequently analyzed via liquid chromatography ion trap mass spectrometry (LC-IT-MS). The peak areas were related to the internal standard isoguanosine and to the urinary creatinine level. For bioinformatic pattern recognition we used the support vector machine. We examined 113 urine samples from breast cancer patients (stage Tis-T4) and 99 control samples from healthy volunteers. We achieved a sensitivity of 87.67% and a specificity of 89.90% when including 31 nucleosides. The medical metabonomics concept based on the urinary nucleoside profile reveals a significantly improved classification compared with currently applied breast cancer biomarkers such as CA15-3.