Detection of candidate biomarkers of prostate cancer progression in serum: a depletion-free 3D LC/MS quantitative proteomics pilot study.
Detection of candidate biomarkers of prostate cancer progression in serum: a depletion-free 3D LC/MS quantitative proteomics pilot study.
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检测血清中前列腺癌进展的候选生物标志物：无损耗 3D LC/MS 定量蛋白质组学试点研究。
DOI：
10.1038/bjc.2016.291
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发表时间：
2016-10-25
影响因子：
8.8
通讯作者：
Townsend, P. A.
中科院分区：
文献类型：
--
作者：
Larkin, S. E. T.;Johnston, H. E.;Jackson, T. R.;Jamieson, D. G.;Roumeliotis, T. I.;Mockridge, C. I.;Michael, A.;Manousopoulou, A.;Papachristou, E. K.;Brown, M. D.;Clarke, N. W.;Pandha, H.;Aukim-Hastie, C. L.;Cragg, M. S.;Garbis, S. D.;Townsend, P. A.
Prostate cancer (PCa) is the most common male cancer in the United Kingdom and we aimed to identify clinically relevant biomarkers corresponding to stage progression of the disease. We used enhanced proteomic profiling of PCa progression using iTRAQ 3D LC mass spectrometry on high-quality serum samples to identify biomarkers of PCa. We identified >1000 proteins. Following specific inclusion/exclusion criteria we targeted seven proteins of which two were validated by ELISA and six potentially interacted forming an ‘interactome' with only a single protein linking each marker. This network also includes accepted cancer markers, such as TNF, STAT3, NF-κB and IL6. Our linked and interrelated biomarker network highlights the potential utility of six of our seven markers as a panel for diagnosing PCa and, critically, in determining the stage of the disease. Our validation analysis of the MS-identified proteins found that SAA alongside KLK3 may improve categorisation of PCa than by KLK3 alone, and that TSR1, although not significant in this model, might also be a clinically relevant biomarker.
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影响因子：
3.7
作者：
Love HD;Booton SE;Boone BE;Breyer JP;Koyama T;Revelo MP;Shappell SB;Smith JR;Hayward SW
通讯作者：
Hayward SW
影响因子：
64.5
作者：
Cancer Genome Atlas Research Network
通讯作者：
Cancer Genome Atlas Research Network
影响因子：
4.4
作者：
Bouchal, Pavel;Roumeliotis, Theodoros;Garbis, Spiros D.
通讯作者：
Garbis, Spiros D.
影响因子：
4.4
作者：
Al-Daghri, Nasser M.;Al-Attas, Omar S.;Garbis, Spiros D.
通讯作者：
Garbis, Spiros D.
DOI：
10.1126/science.1262110
发表时间：
2015-05-08
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
GTEx Consortium
通讯作者：
GTEx Consortium