Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloSerum seleno-proteins status for colorectal cancer screening explored by data mining techniques - a multidisciplinary pilot study
Anno di pubblicazione2012
Formato
  • Elettronico
  • Cartaceo
Autore/iRoman, M.a , Jitaru, P.b , Agostini, M.c d e , Cozzi, G.a , Pucciarelli, S.c , Nitti, D.c , Bedin, C.c , Barbante, C.a f g
Affiliazioni autoriInstitute for the Dynamics of Environmental Processes (IDPA-CNR), Dorsoduro 2137, 30123 Venice, Italy; b:Institut Polytechnique LaSalle Beauvais, Département des Sciences et Techniques Agro-Industrielles, 19 rue Pierre Waguet BP 30313, 60026 Beauvais, France; Department of Surgical Oncological and Gastroenterological Sciences, 2nd Surgical Clinic, University of Padova, Padova, Via Giustiniani 2, 35128 Padova, Italy; Department of Nanomedicine, Methodist Hospital Research Institute, 6565 Fannin Street, Houston, TX 77030, United States; Istituto di Ricerca Pediatrica- Città della Speranza, Viale della Ricerca, Padova, Italy; University Ca' Foscari of Venice, Department of Environmental Sciences, Dorsoduro 2137, 30123 Venice, Italy; Accademia Nazionale dei Lincei, Centro B. Segre, Via della Lungara 10, 00165 Roma, Italy
Autori CNR e affiliazioni
  • GIULIO COZZI
  • CARLO BARBANTE
Lingua/e
  • inglese
AbstractIn this case-control pilot study a recent method based on HPLC hyphenated to ICP-MS was employed for the quantification of serum glutathione peroxidase type 3 (GPx3), seleno-protein P (SelP) and seleno-albumin (SeAlb) in 42 patients with colorectal cancer (CRC) and 20 controls. Patients with early cancer stage (TNM I) showed a significantly higher level of SeAlb (19 ± 3. ng/mL) in respect to both metastatic CRC patients (TNM IV, 16 ± 4. ng/mL) and healthy controls (16 ± 3. ng/mL). Classification models based on logistic regression analysis, classification trees and artificial neural networks were constructed using seleno-proteins concentrations as predictors. Neural networks lead to the best performances, up to 95% of corrected predictions in TNM I vs. controls discrimination. These results suggest a potential association between individual seleno-proteins and CRC progression. Age and radiochemoteraphy were assessed as confounding factors, showing no significant effects. Still, SeAlb level tended to reduce with the age in healthy persons, but did not in CRC patients. Seleno-proteins concentration was also compared with a number of clinical parameters considered as prognostic factors in CRC. Significant Spearman's correlations were revealed between SelP and SeAlb, and presence of peritumoural lymphocytic infiltration (? = - 0.57 and ? = - 0.37, respectively); and SeAlb and degree of cellular differentiation (grading, ? = - 0.37). This study marks the importance to systematically introduce speciation analysis and multidisciplinary approaches in the investigation of the role of seleno-proteins as a potential combined biomarker for CRC.
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Pagine da124
Pagine a132
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RivistaMicrochemical journal (Print)
Attiva dal 1957
Editore: Academic Press [etc.] - New York,
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 0026-265X
Titolo chiave: Microchemical journal (Print)
Titolo proprio: Microchemical journal. (Print)
Numero volume della rivista105
Fascicolo della rivista-
DOI-
Verificato da refereeSì: Internazionale
Stato della pubblicazione-
Indicizzazione (in banche dati controllate)-
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Strutture CNR
  • IDPA — Istituto per la dinamica dei processi ambientali
Moduli/Attività/Sottoprogetti CNR
  • TA.P07.018.001 : Sviluppo di metodologie analitiche per lo studio di matrici naturali e/o artificiali.
Progetti Europei-
Allegati
Serum seleno-proteins status for colorectal cancer screening explored by data mining techniques - a multidisciplinary pilot study (documento privato )
Tipo documento: application/pdf