Searching for Potential Ovarian Cancer Biomarkers with Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry.
Searching for Potential Ovarian Cancer Biomarkers with Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry.
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DOI：
10.5099/aj090100080
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发表时间：
2009-01-01
期刊：
影响因子：
--
通讯作者：
Tian YP
中科院分区：
文献类型：
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作者：
Qiu F;Liu HY;Dong ZN;Feng YJ;Zhang XJ;Tian YP
卵巢癌是妇科常见的恶性肿瘤，死亡率高，早期诊断是治疗卵巢癌的关键。本研究的目的是基于血清蛋白谱寻找新的卵巢癌生物标志物，以区分卵巢癌患者和健康对照。使用MB-WCX试剂盒分析从20名卵巢癌患者和20名健康对照中获得的血清样本，然后我们根据分析生成MALDI-TOF蛋白质谱。在光谱的预处理之后，使用ClinProTools生物信息学软件的线性分析来对蛋白质谱进行分类并搜索可用作潜在卵巢癌生物标志物的显著峰。利用ClinproTools生物信息学和统计学软件，我们发现5个突出表达的蛋白质在卵巢癌和健康对照组。质荷比分别为4648.21（m/z）、9294.03（m/z）、3886.1（m/z）、9066.38（m/z）和4254.71（m/z），前四种蛋白在卵巢癌患者中表达较高，后一种蛋白在卵巢癌患者中表达较低。敏感性和特异性均大于90%。我们的研究发现，MALDI-TOF MS是一种高通量的样品制备方法，是一种新的潜在的人类疾病诊断工具，不仅可以在卵巢癌患者的血清样品中寻找新的早期检测生物标志物，而且还具有用于常规临床工作的潜在用途。
Ovarian cancer is a common gynecological malignant disease, causing more deaths among women .The key objective in the treatment of ovarian cancer is early diagnosis. The objective of our study was to seek new ovarian cancer biomarkers based on a serum protein profile with the aim of discriminating ovarian cancer patients from healthy controls. An MB-WCX kit was used to analyze serum samples obtained from 20 ovarian cancer patients and 20 healthy controls and then we generated MALDI-TOF protein profiles from the analysis. After pre-processing of the spectra, linear analysis with ClinProTools bioinformatics software was used to classify protein profiles and search for prominent peaks that could be used as potential ovarian cancer biomarkers. Using ClinproTools bioinformatics and statistical software, we found 5 prominent expressed proteins in the ovarian cancer and healthy control groups. The mass to charge ratio were 4648.21(m/z), 9294.03(m/z), 3886.1(m/z), 9066.38(m/z) and 4254.71(m/z), respectively, and the former four proteins were expressed higher in the ovarian cancer patients, but the later one was expressed at lower levels in the cancer patients. The sensitivity and specificity were both more than 90%. From our study, we found that MALDI-TOF MS is a high-throughput sample preparation method and is a new potential tool for the diagnosis of human disease, not only to search for new early detection biomarkers in the ovarian cancer patients’ serum samples, but also with a potential use for routine clinical work.