Detection of bladder cancer using proteomic profiling of urine sediments.

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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Bibliographic Details
Main Authors: Tadeusz Majewski, Philippe E Spiess, Jolanta Bondaruk, Peter Black, Charlotte Clarke, William Benedict, Colin P Dinney, Herbert Barton Grossman, Kuang S Tang, Bogdan Czerniak
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22879988/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22879988/?tool=EBI

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