Author/Authors :
Quaresima، نويسنده , , Barbara and Crugliano، نويسنده , , Telma and Gaspari، نويسنده , , Marco and Faniello، نويسنده , , Maria Concetta and Cosimo، نويسنده , , Paola and Valanzano، نويسنده , , Rosa and Genuardi، نويسنده , , Maurizio and Cannataro، نويسنده , , Mario and Veltri، نويسنده , , Pierangelo and Baudi، نويسنده , , Francesco and Doldo، نويسنده , , Patrizia and Cuda، نويسنده , , Giovanni and Venuta، نويسنده , , Salvatore and Costanzo، نويسنده , , Francesco، نويسنده ,
Abstract :
Familial adenomatous polyposis (FAP) is one of the most important clinical hereditary forms of inherited susceptibility to colorectal cancer and is characterized by a high degree of phenotypic heterogeneity. We used a mass spectrometry driven-proteomic strategy to identify serum molecules differently expressed in FAP patients. The data obtained were subsequently processed by bioinformatic analysis and confirmed by Western blotting. Significant differences were highlighted in the expression of serum proteins of FAP patients. In particular, two proteins (α-2-HS-glycoprotein and apoliprotein D) were down-regulated (about 0.5- and 0.7-fold, respectively) in carpeting versus diffuse FAP patients and healthy donors, while α-2-antiplasmin was up-regulated (about 1.4-fold). Moreover, mass spectrometry approach enabled us to identify serum biomarkers specific for two distinct clinical form of FAP, i.e. carpeting and diffuse FAP. In particular, vitronectin was up-regulated (more than 1.4-fold) in diffuse FAP patients versus carpeting FAP and versus healthy donors, and two additional proteins (Haptoglobin and α-1-acid glycoprotein 1) were up-regulated in 2 out of 3 carpeting FAP patients.
udy suggests that mass spectrometry combined to a strong bioinformatics analysis is a valuable tool for the identification of quali/quantitative differences in the serum proteome of otherwise indistinguishable FAP phenotypes. Moreover, the definition of a proteomic profile, supported by the supervised classification, is a powerful and highly sensitive approach for the identification molecular signatures that are able to outperform the traditional disease markers and can therefore be efficiently applied for the diagnosis and clinical management of FAP patients.