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通过表面增强激光解吸/电离质谱法鉴定肾细胞癌的两种血清生物标志物。

Identification of 2 serum biomarkers of renal cell carcinoma by surface enhanced laser desorption/ionization mass spectrometry.

作者信息

Hara Tomohiko, Honda Kazufumi, Ono Masaya, Naito Katsusuke, Hirohashi Setsuo, Yamada Tesshi

机构信息

Chemotherapy Division and Cancer Proteomics Project, National Cancer Center Research Institute, Tsukiji, Tokyo, Japan.

出版信息

J Urol. 2005 Oct;174(4 Pt 1):1213-7. doi: 10.1097/01.ju.0000173915.83164.87.

Abstract

PURPOSE

Surface enhanced laser desorption/ionization mass spectrometry can generate robust information from a small amount of clinical samples such as serum and plasma. In this study we identified novel diagnostic biomarkers of renal cell carcinoma (RCC) by large-scale serum protein profiling using surface enhanced laser desorption/ionization mass spectrometry.

MATERIALS AND METHODS

Proteomic spectra were generated by a time of flight mass spectrometer from a set of training samples (21 patients with RCC and 24 healthy volunteers) and another set of validation samples (19 patients with RCC, 20 healthy volunteers and 5 patients with pyelonephritis). Information on the peaks (intensity and m/z) was extracted from the mass spectra using newly developed algorithms, and the Mann-Whitney's U test and linear support vector machine were used to identify the peaks distinguishing RCC samples from the controls.

RESULTS

Two peaks with molecular masses of 4,151 and 8,968 m/z were selected as significantly more prominent in RCC samples (p <0.01) among the 3,539 peaks in the range of 3,000 to 30,000 m/z obtained from the training samples. Simultaneous recognition of these 2 biomarkers was shown to have a sensitivity of 89.5% for the diagnosis of RCC and an overall specificity of 80.0% (95% [19 of 20] of healthy volunteers and 20% [1 of 5] of patients with pyelonephritis) in the blinded validation samples, and to allow detection of RCC in stage I (UICC) in 88.9% (16 of 18) of the cases.

CONCLUSIONS

We identified 2 serum biomarkers potentially useful for the early diagnosis of RCC. This finding warrants a further large-scale multi-institutional analysis for clinical evaluation of the diagnostic significance of these biomarkers.

摘要

目的

表面增强激光解吸/电离质谱法能够从少量临床样本(如血清和血浆)中获取丰富信息。在本研究中,我们通过表面增强激光解吸/电离质谱法进行大规模血清蛋白谱分析,以鉴定肾细胞癌(RCC)的新型诊断生物标志物。

材料与方法

采用飞行时间质谱仪从一组训练样本(21例RCC患者和24名健康志愿者)以及另一组验证样本(19例RCC患者、20名健康志愿者和5例肾盂肾炎患者)中生成蛋白质组谱。使用新开发的算法从质谱中提取峰信息(强度和质荷比),并采用曼-惠特尼U检验和线性支持向量机来识别区分RCC样本与对照的峰。

结果

在从训练样本获得的3000至30000 m/z范围内的3539个峰中,选择分子量为4151和8968 m/z的两个峰,其在RCC样本中明显更为突出(p <0.01)。在盲法验证样本中,同时识别这两种生物标志物对RCC诊断的敏感性为89.5%,总体特异性为80.0%(20名健康志愿者中的95% [19/20]和5例肾盂肾炎患者中的20% [1/5]),并且能够在88.9%(16/18)的病例中检测出I期(国际抗癌联盟)RCC。

结论

我们鉴定出两种可能对RCC早期诊断有用的血清生物标志物。这一发现需要进一步进行大规模多机构分析,以临床评估这些生物标志物的诊断意义。

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