Detection of Bladder Cancer Using Proteomic Profiling of Urine Sediments

We used protein expression profiles to develop a classification rule for the detection and prognostic assessment of bladder cancer in voided urine samples. Using the Ciphergen PBS II ProteinChip Reader, we analyzed the protein profiles of 18 pairs of samples of bladder tumor and adjacent urothelium...

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Bibliographische Detailangaben
Hauptverfasser: Majewski, Tadeusz, Spiess, Philippe E., Bondaruk, Jolanta, Black, Peter, Clarke, Charlotte, Benedict, William, Dinney, Colin P., Grossman, Herbert Barton, Tang, Kuang S., Czerniak, Bogdan
Format: Artigo
Sprache:Inglês
Veröffentlicht: Public Library of Science 2012
Schlagworte:
Research Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3411788/
https://ncbi.nlm.nih.gov/pubmed/22879988
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0042452
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