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 of the signals present in the cluster was identified as a fragment of Tamm-Horsfall protein.

Human urine biomarkers of renal cell carcinoma evaluated by ClinProt / N. Bosso, C. Chinello, S. Picozzi, E. Giannazza, V. Mainini, C. Galbusera, F. Raimondo, R. Perego, S. Casellato, F. Rocco, S. Ferrero, S. Bosari, P. Mocarelli, M. Galli Kienle, F. Magni. - In: PROTEOMICS. CLINICAL APPLICATIONS. - ISSN 1862-8346. - 2:7/8(2008 Jul), pp. 1036-1046.

Human urine biomarkers of renal cell carcinoma evaluated by ClinProt

S. Picozzi;F. Rocco;S. Ferrero;S. Bosari;
2008

Abstract

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 of the signals present in the cluster was identified as a fragment of Tamm-Horsfall protein.
English
Biological fluids; Biomarkers; ClinProt; MS; Renal cell carcinoma
Settore MED/24 - Urologia
Settore MED/08 - Anatomia Patologica
Articolo
Sì, ma tipo non specificato
lug-2008
Wiley
2
7/8
1036
1046
Periodico con rilevanza internazionale
info:eu-repo/semantics/article
Human urine biomarkers of renal cell carcinoma evaluated by ClinProt / N. Bosso, C. Chinello, S. Picozzi, E. Giannazza, V. Mainini, C. Galbusera, F. Raimondo, R. Perego, S. Casellato, F. Rocco, S. Ferrero, S. Bosari, P. Mocarelli, M. Galli Kienle, F. Magni. - In: PROTEOMICS. CLINICAL APPLICATIONS. - ISSN 1862-8346. - 2:7/8(2008 Jul), pp. 1036-1046.
none
Prodotti della ricerca::01 - Articolo su periodico
15
262
Article (author)
si
N. Bosso, C. Chinello, S. Picozzi, E. Giannazza, V. Mainini, C. Galbusera, F. Raimondo, R. Perego, S. Casellato, F. Rocco, S. Ferrero, S. Bosari, P. Mocarelli, M. Galli Kienle, F. Magni
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/61122
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