Glycoprotein screening in colorectal cancer based on differentially expressed Tn antigen.

摘要: Colorectal cancer (CRC) is one of the most common cancers worldwide, and identification new biomarkers for CRC valuable its diagnosis treatment. We aimed to screen differentially expressed glycoproteins (especially O-glycoproteins) identify diagnostic or therapeutic candidates colorectal based on different Tn antigen expression levels. Fresh cancer tissues adjacent healthy were obtained from patients classified into three groups their expression: with negative expression (CRC Tn‑), positive Tn+) normal control without expression (NC). Protein extractions separated identified by iTRAQ technology. Glycoproteins O-glycoproteins selected using UniProt DAVID. Deep bioinformatic analysis, including Gene Ontology (GO) Kyoto Encyclopedia Genes Genomes (KO), was used annotate this O-glycoprotein interaction network. Subsequently, two O‑glycoproteins verified western blotting immunohistochemistry in either LS174T cells tissues. found that 330 proteins between Tn‑ NC tissues, 317 Tn+ 316 Of proteins, 55 19 analyzed via deep informatics. Namely, levels led differential protein patterns, especially O‑glycoproteins. Decorin SORBS1, representative functional O-glycoproteins, significantly downregulated compared level Based SORBS1 are hypothesized be involved TGF‑β PPAR‑γ signaling pathways, respectively.