Abstract

Early detection and diagnosis of colorectal cancer (CRC) are closely related to a better therapeutic outcome, and the five-year survival rate of early CRC is over 90 percent. Though endoscopic minimally invasive treatment has become a quick and effective therapy for early CRC, endoscopic biopsies are usually not deep enough to obtain tissues from the submucosal layer and it is difficult to determine whether early CRC has infiltrated into the submucosa. Therefore, in the present study, we constructed tumor models of early submucosal non-invasive CRC (SNICRC) and submucosal invasive CRC (SICRC) in Fischer-344 rats induced by N-methyl-N-nitrosourea (MNU). The differentially-expressed proteins were analyzed and identified in SNICRC, SICRC and normal control (NC) tissues using highly sensitive two dimensional differential gel electrophoresis (2D-DIGE) coupled with mass spectrometry (MS). Proteomic data revealed 132 protein spots between SNICRC and SICRC, 162 protein spots between SICRC and NC and 154 protein spots between SNICRC and NC which were found differentially expressed. These differential spots were picked, in-gel digested and peptide mass fingerprints were obtained by MALDITOF-MS/MS. Finally, five differentially-expressed proteins in SNICRC, SICRC and NC were identified, and increases in Transgelin, peptidylprolyl isomerase A (PPIA) and tropomyosin alpha isoform d were observed, while decreases in carbonic anhydrase 2 (CAII) and an unnamed protein were detected in SICRC compared with SNICRC and NC. Furthermore, Fluorescence-based quantitative polymerase chain reaction (FQ-PCR), Western blotting and immunohistochemistry assays also revealed significant upregulation of Transgelin expression and down-regulation of CAII expression in SICRC tissues. In conclusion, 2D-DIGE is confirmed to be an efficient strategy that enables us to identify differentially expressed proteins between early SNICRC and SICRC. The potential biomarkers such as Transgelin and CAII may be used for the detection of early SICRC.

Full Text
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