Serum Proteomic Abnormality Predating Screen Detection of Ovarian Cancer

被引:13
|
作者
Gammerman, Alex [1 ,6 ]
Vovk, Volodya [1 ]
Burford, Brian [1 ]
Nouretdinov, Ilia [1 ]
Luo, Zhiyuan [1 ]
Chervonenkis, Alexey [1 ]
Waterfield, Mike [2 ]
Cramer, Rainer [2 ,3 ,4 ]
Tempst, Paul [5 ]
Villanueva, Josep [5 ]
Kabir, Musarat [6 ]
Camuzeaux, Stephane [6 ]
Timms, John [6 ]
Menon, Usha [6 ]
Jacobs, Ian [6 ]
机构
[1] Univ London, Comp Learning Res Ctr, London WC1E 7HU, England
[2] UCL, Ludwig Inst Canc Res, London WC1E 6BT, England
[3] Univ Reading, Dept Chem, Reading RG6 2AH, Berks, England
[4] Univ Reading, Bioctr, Reading RG6 2AH, Berks, England
[5] Mem Sloan Kettering Canc Ctr, New York, NY 10021 USA
[6] Univ London, Inst Womens Hlth, London WC1E 7HU, England
来源
COMPUTER JOURNAL | 2009年 / 52卷 / 03期
关键词
bioinformatics; biomarkers; CA125; human serum proteome; mass spectra; ovarian cancer; TOF MASS-SPECTROMETRY; DIAGNOSIS; PATTERNS;
D O I
10.1093/comjnl/bxn021
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Ovarian cancer is characterized by vague, non-specific symptoms, advanced stage at diagnosis and poor overall survival. A nested case control study was undertaken on stored serial serum samples from women who developed ovarian cancer and healthy controls (matched for serum processing and storage conditions as well as attributes such as age) in a pilot randomized controlled trial of ovarian cancer screening. The unique feature of this study is that the women were screened for up to 7 years. The serum samples underwent prefractionation using a reversed-phase batch extraction protocol prior to MALDI-TOF MS data acquisition. Our exploratory analysis shows that combining a single MS peak with CA125 allows statistically significant discrimination at the 5% level between cases and controls up to 12 months in advance of the original diagnosis of ovarian cancer. Such combinations work much better than a single peak or CA125 alone. This paper demonstrates that mass spectra from the low molecular weight serum proteome carry information useful for early detection of ovarian cancer. The next step is to identify the specific biomarkers that make early detection possible.
引用
收藏
页码:326 / 333
页数:8
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