Application of mass spectrometry to the discovery of biomarkers for detection of prostate cancer

作者: O. John Semmes , Gunjan Malik , Mike Ward

DOI: 10.1002/JCB.20855

关键词:

摘要: There has been an impressive emergence of mass spectrometry based technologies applied toward the study proteins. Equally notable is rapid adaptation these to biomedical approaches in realm clinical proteomics. Concerted efforts elucidation proteomes organ sites or specific disease state are proliferating and from come promise better diagnostics/prognostics therapeutic intervention. Prostate cancer a focus many such studies with improved care patients via biomarkers derived proteomic approaches. The newer provide higher analytical capabilities, employ automated liquid handling systems, fractionation techniques bioinformatics tools for greater sensitivity resolving power, more robust throughput sample processing, confidence results. In this prospects, we summarize date prostate cancer, along their respective advantages disadvantages. development strategies use future applications also discussed.

参考文章(63)
Thomas P. Conrads, Brian L. Hood, Haleem J. Issaq, Timothy D. Veenstra, Proteomic patterns as a diagnostic tool for early-stage cancer: a review of its progress to a clinically relevant tool. Molecular Diagnosis. ,vol. 8, pp. 77- 85 ,(2004) , 10.1007/BF03260049
PH O'Farrell, High resolution two-dimensional electrophoresis of proteins. Journal of Biological Chemistry. ,vol. 250, pp. 4007- 4021 ,(1975) , 10.1016/S0021-9258(19)41496-8
Peter S. Nelson, David Han, Yvan Rochon, Garry L. Corthals, Biaoyang Lin, Adam Monson, Vilaska Nguyen, B. Robert Franza, Stephen R. Plymate, Ruedi Aebersold, Leroy Hood, Comprehensive analyses of prostate gene expression: convergence of expressed sequence tag databases, transcript profiling and proteomics. Electrophoresis. ,vol. 21, pp. 1823- 1831 ,(2000) , 10.1002/(SICI)1522-2683(20000501)21:9<1823::AID-ELPS1823>3.0.CO;2-3
W. Pusch, M. Kostrzewa, Application of MALDI-TOF mass spectrometry in screening and diagnostic research. Current Pharmaceutical Design. ,vol. 11, pp. 2577- 2591 ,(2005) , 10.2174/1381612054546932
La Creis R Kidd, K Woodson, P R Taylor, D Albanes, J Virtamo, J A Tangrea, Polymorphisms in glutathione-S-transferase genes (GST-M1, GST-T1 and GST-P1) and susceptibility to prostate cancer among male smokers of the ATBC cancer prevention study. European Journal of Cancer Prevention. ,vol. 12, pp. 317- 320 ,(2003) , 10.1097/00008469-200308000-00012
Jose I Diaz, Lisa H Cazares, Alberto Corica, O John Semmes, Selective capture of prostatic basal cells and secretory epithelial cells for proteomic and genomic analysis Urologic Oncology-seminars and Original Investigations. ,vol. 22, pp. 329- 336 ,(2004) , 10.1016/J.UROLONC.2004.04.010
Fang Yan, Arun Sreekumar, Bharathi Laxman, Arul M. Chinnaiyan, David M. Lubman, Timothy J. Barder, Protein microarrays using liquid phase fractionation of cell lysates. Proteomics. ,vol. 3, pp. 1228- 1235 ,(2003) , 10.1002/PMIC.200300443
Aprill Watanabe, Robert Cornelison, Galen Hostetter, Tissue microarrays: applications in genomic research. Expert Review of Molecular Diagnostics. ,vol. 5, pp. 171- 181 ,(2005) , 10.1586/14737159.5.2.171
Mark A. Rubin, Rodney Dunn, Myla Strawderman, Kenneth J. Pienta, Tissue microarray sampling strategy for prostate cancer biomarker analysis. The American Journal of Surgical Pathology. ,vol. 26, pp. 312- 319 ,(2002) , 10.1097/00000478-200203000-00004
Tobias Zellweger, Christoph Ninck, Martina Mirlacher, Matthias Annefeld, Andrew G. Glass, Thomas C. Gasser, Michael J. Mihatsch, Edward P. Gelmann, Lukas Bubendorf, Tissue microarray analysis reveals prognostic significance of syndecan-1 expression in prostate cancer. The Prostate. ,vol. 55, pp. 20- 29 ,(2003) , 10.1002/PROS.10209