Human urine biomarkers of renal cell carcinoma evaluated by ClinProt

Niccolò Bosso, Clizia Chinello, Stefano Carlo Maria Picozzi, Erica Gianazza, Veronica Mainini, Carmen Galbusera, Francesca Raimondo, Roberto Perego, Stefano Casellato, Francesco Rocco, Stefano Ferrero, Silvano Bosari, Paolo Mocarelli, Marzia Galli Kienle, Fulvio Magni

Research output: Contribution to journalArticlepeer-review


Renal cell carcinoma (RCC) is one of the major causes of cancer death and is radio- and chemoresistant. Urine of 29 healthy subjects and 39 clear cell RCC patients were analyzed using the ClinProt technique to search for possible biomarkers for early RCC diagnosis. A cluster of three signals (marker A= at m/z 1827 ± 8 Da, marker B = 1914 ± 8 Da and marker C = 1968 ± 8 Da) was able to discriminate patients from controls. A receiver operating characteristic curve analysis showed values of area under the curve (AUC) higher than 0.9 for marker A and B, corresponding to a sensitivity of 85-90% and a specificity of' 90%, while marker C gave a lower AUC (0.84) corresponding to sensitivity of 70% and specificity of 100%. The combination of three markers lead to an improvement in diagnostic efficacy, with specificity and sensitivity of 100% and 95%, respectively, in the training test and of 100% and of 85% in the test experiment. The efficacy of this cluster of signals to distinguish RCC patients grouped by tumor stage showed a sensibility of 100% for patients at the primary tumor 1 stage. One ofthe signals present in the cluster was identified as a fragment of Tamm-Horsfall protein.

Original languageEnglish
Pages (from-to)1036-1046
Number of pages11
JournalProteomics - Clinical Applications
Issue number7-8
Publication statusPublished - Jul 2008


  • Biological fluids
  • Biomarkers
  • ClinProt
  • MS
  • Renal cell carcinoma

ASJC Scopus subject areas

  • Clinical Biochemistry


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