Mining the Ovarian Cancer Ascites Proteome for Potential Ovarian Cancer Biomarkers
Mining the Ovarian Cancer Ascites Proteome for Potential Ovarian Cancer Biomarkers
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DOI：
10.1074/mcp.m800313-mcp200
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发表时间：
2009-04-01
影响因子：
7
通讯作者：
Diamandis, Eleftherios P.
中科院分区：
文献类型：
--
作者：
Kuk, Cynthia;Kulasingam, Vathany;Diamandis, Eleftherios P.
目前的卵巢癌生物标志物是不够的，因为它们的诊断敏感性和特异性相对较低。需要发现和验证适用于早期诊断、监测和预测治疗反应的新型卵巢癌生物标志物。我们对卵巢癌腹水进行了深入的蛋白质组学分析。使用尺寸排阻色谱和超滤去除分子量>= 30 kDa的高丰度蛋白质。胰蛋白酶消化后，亚蛋白质组（
Current ovarian cancer biomarkers are inadequate because of their relatively low diagnostic sensitivity and specificity. There is a need to discover and validate novel ovarian cancer biomarkers that are suitable for early diagnosis, monitoring, and prediction of therapeutic response. We performed an in-depth proteomics analysis of ovarian cancer ascites fluid. Size exclusion chromatography and ultrafiltration were used to remove high abundance proteins with molecular mass >= 30 kDa. After trypsin digestion, the subproteome (