Serum peptidome patterns of breast cancer based on magnetic bead separation and mass spectrometry analysis.
Serum peptidome patterns of breast cancer based on magnetic bead separation and mass spectrometry analysis.
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DOI：
10.1186/1746-1596-7-45
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发表时间：
2012-04-20
影响因子：
2.6
通讯作者：
Liu QY
中科院分区：
文献类型：
--
作者：
Fan NJ;Gao CF;Zhao G;Wang XL;Liu QY
乳腺癌是世界上最常见的癌症之一，识别早期检测乳腺癌的生物标志物是一个相关目标。本研究旨在确定用于乳腺癌筛查的血清肽组模式。目前的工作重点是使用 ClinProt 试剂盒结合质谱 (MS) 对 36 名健康志愿者和 37 名乳腺癌患者进行血清蛋白质组分析。这种方法可以确定能够区分研究群体的肽组模式。使用独立的血清组（36 名健康志愿者和 37 名乳腺癌患者）来盲目验证肽组模式的诊断能力。采用免疫分析方法测定验证组样本的血清粘蛋白1（CA15-3）。使用支持向量机（SVM）算法构建肽组模式，用于从健康志愿者中识别乳腺癌。 m/z 698、720 和 1866 处的三个已识别峰用于构建肽组模式，准确度为 91.78%。此外，肽组模式可以区分验证组，灵敏度为 91.89% (34/37)，特异性为 91.67% (33/36) (> CA 15–3，P < 0.05)。这些结果表明，ClinProt 试剂盒结合 MS 在乳腺癌诊断方面显示出巨大的潜力。本文的虚拟幻灯片可以在这里找到：http://www.diagnosticpathology.diagnomx.eu/vs/1501556838687844
Breast cancer is one of the most common cancers in the world, and the identification of biomarkers for the early detection of breast cancer is a relevant target. The present study aims to determine serum peptidome patterns for screening of breast cancer. The present work focused on the serum proteomic analysis of 36 healthy volunteers and 37 breast cancer patients using a ClinProt Kit combined with mass spectrometry (MS). This approach allows the determination of peptidome patterns that are able to differentiate the studied populations. An independent group of sera (36 healthy volunteers and 37 breast cancer patients) was used to verify the diagnostic capabilities of the peptidome patterns blindly. An immunoassay method was used to determine the serum mucin 1 (CA15-3) of validation group samples. Support Vector Machine (SVM) Algorithm was used to construct the peptidome patterns for the identification of breast cancer from the healthy volunteers. Three of the identified peaks at m/z 698, 720 and 1866 were used to construct the peptidome patterns with 91.78% accuracy. Furthermore, the peptidome patterns could differentiate the validation group achieving a sensitivity of 91.89% (34/37) and a specitivity of 91.67% (33/36) (> CA 15–3, P < 0.05). These results suggest that the ClinProt Kit combined with MS shows great potentiality for the diagnosis of breast cancer. The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1501556838687844
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影响因子：
37.3
作者：
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