@article{b5a7544b8bd445de9514c89982988769,
title = "Integrative genomic and proteomic analysis of prostate cancer reveals signatures of metastatic progression",
abstract = "Molecular profiling of cancer at the transcript level has become routine. Large-scale analysis of proteomic alterations during cancer progression has been a more daunting task. Here, we employed high-throughput immunoblotting in order to interrogate tissue extracts derived from prostate cancer. We identified 64 proteins that were altered in prostate cancer relative to benign prostate and 156 additional proteins that were altered in metastatic disease. An integrative analysis of this compendium of proteomic alterations and transcriptomic data was performed, revealing only 48%-64% concordance between protein and transcript levels. Importantly, differential proteomic alterations between metastatic and clinically localized prostate cancer that mapped concordantly to gene transcripts served as predictors of clinical outcome in prostate cancer as well as other solid tumors.",
author = "Sooryanarayana Varambally and Jianjun Yu and Bharathi Laxman and Rhodes, {Daniel R.} and Rohit Mehra and Tomlins, {Scott A.} and Shah, {Rajal B.} and Uma Chandran and Monzon, {Federico A.} and Becich, {Michael J.} and Wei, {John T.} and Pienta, {Kenneth J.} and Debashis Ghosh and Rubin, {Mark A.} and Chinnaiyan, {Arul M.}",
note = "Funding Information: The authors would like to thank Dr. William Gerald (Memorial Sloan-Kettering Cancer Center, NY) for providing the primary gene expression data files from MSKCC as well as the other authors who made their microarray data sets publicly available. We would also like to thank Jill Macoska and Joe Washburn of the UMCCC microarray core for timely microarray analysis; James Montie and Francesca Demichelis for suggestions; Vasudeva Mahavisno, Shanker Kalyana-Sundaram, Terrence Barrette, and Doug Gibbs for bioinformatics support; and Jason Harwood, Prakash Chinnaiyan, Mukesh Nyati, and Qi Cao for technical support. We would like to thank the BD power blot team and Kinexus for technical assistance. We would like to thank the staff of the Microscopy and Image Analyses laboratory at the University of Michigan for their help in the various microscopic analyses employed in this study. We would like to thank StressGen Biotechnologies for their kind gifts of antibodies. This research was supported in part by the Department of Defense (PC051081 to A.M.C. and S.V.; PC040517 to R.M.), the American Cancer Society (RSG-02-179-MGO to A.M.C., M.A.R., and D.G.), the National Institutes of Health (Prostate SPORE P50CA69568 to K.J.P., S.V., A.M.C., J.T.W., D.G., and R.B.S.; R01AG21404 to M.A.R.; R01GM72007-01 to D.G.; and Early Detection Research Network UO1 CA111275-01 to A.M.C., J.T.W., and M.A.R.), and the UM Cancer Center Support Grant (5P30 CA46592) funding of the UMCC Bioinformatics Core. A.M.C. is a Pew Biomedical Scholar. D.R.R. and S.A.T. are Fellows of the Medical Scientist Training Program, and D.R.R. is supported by the Cancer Biology Training Program. ",
year = "2005",
month = nov,
doi = "10.1016/j.ccr.2005.10.001",
language = "English (US)",
volume = "8",
pages = "393--406",
journal = "Cancer Cell",
issn = "1535-6108",
publisher = "Cell Press",
number = "5",
}