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Metabonomics in cancer diagnosis: mass spectrometry-based profiling of urinary nucleosides from breast cancer patients

机译:代谢组学在癌症诊断中的应用:基于质谱的乳腺癌患者尿核苷分析

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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 chromato-graphy 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.
机译:修饰的核苷在RNA中转录后形成。在癌症疾病中,细胞更新并因此RNA代谢增加,产生更高浓度的排泄的修饰核苷。在本研究中,尿核糖核苷用于区分乳腺癌患者和健康志愿者。使用亲和色谱从尿液样品中提取核苷,然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,我们使用了支持向量机。我们检查了来自乳腺癌患者的113个尿液样本(Tis-T4期)和来自健康志愿者的99个对照样本。当包含31个核苷时,我们实现了87.67%的灵敏度和89.90%的特异性。与当前应用的乳腺癌生物标志物(例如CA15-3)相比,基于尿核苷谱的医学代谢组学概念揭示了明显改善的分类。

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