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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Detalhes bibliográficos
Main Authors: Majewski, Tadeusz, Spiess, Philippe E., Bondaruk, Jolanta, Black, Peter, Clarke, Charlotte, Benedict, William, Dinney, Colin P., Grossman, Herbert Barton, Tang, Kuang S., Czerniak, Bogdan
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2012
Assuntos:
Research Article
Acesso em linha: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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