A proteome resource of ovarian cancer ascites: Integrated proteomic and bioinformatic analyses to identify putative biomarkers
A proteome resource of ovarian cancer ascites: Integrated proteomic and bioinformatic analyses to identify putative biomarkers
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DOI：
10.1021/pr0703223
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发表时间：
2008-01-01
影响因子：
4.4
通讯作者：
Kislinger, Thomas
中科院分区：
文献类型：
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作者：
Gortzak-Uzan, Limor;Ignatchenko, Alex;Kislinger, Thomas
上皮性卵巢癌是最致命的妇科恶性肿瘤，迫切需要疾病特异性生物标志物来提高诊断、预后、预测和监测治疗效果。我们提出了一个深入的蛋白质组学分析，选择了人类卵巢癌腹水的生化部分，导致超过2500个蛋白质的严格和自信的鉴定。严格的过滤方案被应用于客观地减少假阳性鉴定的数量，我们只报告具有大量肽证据的蛋白质。对腹水蛋白质组进行综合计算分析，结合最近发表的几种人类血浆、尿液、59种卵巢癌相关微阵列数据集和来自同源相互作用数据库(ID)-D-2 （http://ophid.utoronto.ca/i2d）的蛋白质-蛋白质相互作用数据集，得出80个推定的生物标志物的短列表。所提出的蛋白质组学分析为卵巢癌研究提供了重要的资源，并为生物标志物的发现提供了框架。
Epithelial ovarian cancer is the most lethal gynecological malignancy, and disease-specific biomarkers are urgently needed to improve diagnosis, prognosis, and to predict and monitor treatment efficiency. We present an in-depth proteomic analysis of selected biochemical fractions of human ovarian cancer ascites, resulting in the stringent and confident identification of over 2500 proteins. Rigorous filter schemes were applied to objectively minimize the number of false-positive identifications, and we only report proteins with substantial peptide evidence. Integrated computational analysis of the ascites proteome combined with several recently published proteomic data sets of human plasma, urine, 59 ovarian cancer related microarray data sets, and protein-protein interactions from the Interologous Interaction Database (ID)-D-2 (http://ophid.utoronto.ca/i2d) resulted in a short-list of 80 putative biomarkers. The presented proteomics analysis provides a significant resource for ovarian cancer research, and a framework for biomarker discovery.