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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3411788/
https://www.ncbi.nlm.nih.gov/pubmed/22879988
http://dx.doi.org/10.1371/journal.pone.0042452

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3411788/
https://www.ncbi.nlm.nih.gov/pubmed/22879988
http://dx.doi.org/10.1371/journal.pone.0042452

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