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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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Dettagli Bibliografici
Autori principali: Majewski, Tadeusz, Spiess, Philippe E., Bondaruk, Jolanta, Black, Peter, Clarke, Charlotte, Benedict, William, Dinney, Colin P., Grossman, Herbert Barton, Tang, Kuang S., Czerniak, Bogdan
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science 2012
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Accesso online: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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