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

被引:40
作者
Frickenschmidt, Antje [1 ]
Froehlich, Holger [2 ]
Bullinger, Dino [1 ]
Zell, Andreas [2 ]
Laufer, Stefan [3 ]
Gleiter, Christoph H. [1 ]
Liebich, Hartmut [4 ]
Kammerer, Bernd [1 ]
机构
[1] Univ Tubingen Hosp, Div Clin Pharmacol, Dept Pharmacol & Toxicol, D-72076 Tubingen, Germany
[2] Ctr Bioinformat Tubingen ZBIT, D-72076 Tubingen, Germany
[3] Univ Tubingen, Inst Pharm, D-72076 Tubingen, Germany
[4] Univ Tubingen Hosp, Med Clin, D-72076 Tubingen, Germany
关键词
medical metabonomics; medical metabolomics; modified nucleosides; ion trap mass spectrometry; support vector machine; cancer diagnosis;
D O I
10.1080/13547500802012858
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
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.
引用
收藏
页码:435 / 449
页数:15
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