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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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| Autori principali: | , , , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2012
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| Soggetti: | |
| 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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