Objectives. The aim of the present study is to investigate the presence of proteomic signatures of Oral Squamous Cell Carcinoma (OSCC) in saliva and their use as potential biomarkers for early and non-invasive diagnosis, as well as prognostication. Methods. Saliva from 45 OSCC patients and 30 healthy controls was analysed by SELDI-TOF mass spectrometry and ProteinChip® technology. Proteomic profiles were tested with differential expression analysis and fold change of protein peaks, principal component analysis, Spearman rank correlation test and hierarchical clustering in order to identify a list of peaks of interest representative of controls, N- and N+ cases. Those peaks were used in a supervised artificial neural network in order to classify samples according to the following conditions: controls vs OSCC, controls vs N-, and controls vs N+. Results. When compared with controls, four peaks (i.e. 6913, 11948, 13287 and 27280 m/z) were significantly altered in both N- group and N+ group; four peaks (i.e. 3353, 3433, 3482 and 4136 m/z) were selectively altered in Ngroup; eight peaks were selectively altered in N+ group (i.e. 4038, 7133, 11755, 13746, 13841, 14264, 16807, 17127 m/z). Those peaks were capable to classify 100% of cases and controls, thus being potential diagnostic and prognostic biomarkers for OSCC

Giannatempo, G., Lo Russo, L., Campisi, G., Gallo, C., & Lo Muzio, L. (2015). Salivary proteomic biomarkers of oral squamous cell carcinoma. ANNALI DI STOMATOLOGIA(suppl 3), 27-27.

Salivary proteomic biomarkers of oral squamous cell carcinoma

CAMPISI, Giuseppina;
2015

Abstract

Objectives. The aim of the present study is to investigate the presence of proteomic signatures of Oral Squamous Cell Carcinoma (OSCC) in saliva and their use as potential biomarkers for early and non-invasive diagnosis, as well as prognostication. Methods. Saliva from 45 OSCC patients and 30 healthy controls was analysed by SELDI-TOF mass spectrometry and ProteinChip® technology. Proteomic profiles were tested with differential expression analysis and fold change of protein peaks, principal component analysis, Spearman rank correlation test and hierarchical clustering in order to identify a list of peaks of interest representative of controls, N- and N+ cases. Those peaks were used in a supervised artificial neural network in order to classify samples according to the following conditions: controls vs OSCC, controls vs N-, and controls vs N+. Results. When compared with controls, four peaks (i.e. 6913, 11948, 13287 and 27280 m/z) were significantly altered in both N- group and N+ group; four peaks (i.e. 3353, 3433, 3482 and 4136 m/z) were selectively altered in Ngroup; eight peaks were selectively altered in N+ group (i.e. 4038, 7133, 11755, 13746, 13841, 14264, 16807, 17127 m/z). Those peaks were capable to classify 100% of cases and controls, thus being potential diagnostic and prognostic biomarkers for OSCC
Settore MED/28 - Malattie Odontostomatologiche
III SIMPOSIO NAZIONALE DELLA SOCIETA' ITALIANA DI PATOLOGIA E MEDICINA ORALE (SIPMO)
Bologna
8-10 Ottobre 2015
3
Giannatempo, G., Lo Russo, L., Campisi, G., Gallo, C., & Lo Muzio, L. (2015). Salivary proteomic biomarkers of oral squamous cell carcinoma. ANNALI DI STOMATOLOGIA(suppl 3), 27-27.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10447/104312
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