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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Autores principales: Tadeusz Majewski, Philippe E Spiess, Jolanta Bondaruk, Peter Black, Charlotte Clarke, William Benedict, Colin P Dinney, Herbert Barton Grossman, Kuang S Tang, Bogdan Czerniak
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2012
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Acceso en línea:https://doaj.org/article/91a0641e6d6a489bb56434bed4d4b4d1
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