AIM: To evaluate the usefulness of differentially expressed proteins from @entity14 ( @entity14 ) tissues for differentiating @entity5 and normal tissues. METHODS: A Proteomic approach was used to identify the differentially expressed proteins between @entity14 and normal tissues. The proteins were extracted using Tris buffer and @entity8542 lysis buffer (TLB) for extraction of aqueous soluble and membrane-associated proteins, respectively. Chemometrics, namely principal component analysis (PCA) and @entity1650 ( @entity1650 ), were used to assess the usefulness of these proteins for identifying the cancerous state of tissues. RESULTS: Differentially expressed proteins identified were 37 aqueous soluble proteins in Tris extracts and 24 membrane-associated proteins in TLB extracts. Based on the protein spots intensity on 2D-gel images, PCA by applying an eigenvalue > 1 was successfully used to reduce the number of principal components (PCs) into 12 and seven PCs for Tris and TLB extracts, respectively, and subsequently six PCs, respectively from both the extracts were used for @entity1650 . The @entity1650 classification for Tris extract showed 82.7% of original samples were correctly classified, whereas 82.7% were correctly classified for the cross-validated samples. The @entity1650 for TLB extract showed that 78.8% of original samples and 71.2% of the cross-validated samples were correctly classified. CONCLUSION: The classification of @entity14 tissues by PCA and @entity1650 provided a promising distinction between normal and @entity5 types. These methods can possibly be used for identification of potential biomarkers among the differentially expressed proteins identified.

Chemometrics of differentially expressed proteins from XXXX patients.

@entity5 :: ('MESH:D009369', 'Disease') :: ['cancer'] @entity8542 :: ('MESH:D013890', 'Chemical') :: ['thiourea'] @entity1650 :: ('MESH:D001308', 'Disease') :: ['LDA', 'linear discriminant analysis'] @entity14 :: ('MESH:D015179', 'Disease') :: ['CRC', 'colorectal cancer']
@entity14 :: (MESH:D015179,Disease) :: ['colorectal cancer']
