Characteristics of proteomic patterns in patients with metastatic and non-metastatic colorectal cancer.

Abstract

e23007 Background: Over the past 20 years, the number of deaths from colorectal cancer (CRC) increased by 46% worldwide: every year more than 1 million people are diagnosed with this pathology. Proteomic studies using protein microarrays are a very attractive strategy for the screening of new highly specific biomarkers which can improve prognosis prediction of CRC. We performed a screening proteomic study to find new informative biomarkers for metastatic and non-metastatic colorectal cancer which can be further used in routine histochemical studies. Methods: The samples of tumor and non-tumor tissues of 20 patients with histologically confirmed adenocarcinoma of the colon were studied. Extraction, labeling and hybridization of proteins on the slide containing 224 antibodies for key cellular proteins were performed using the Panorama Antibody Microarray - Cell Signaling Kit, and the GenePix 4100A scanner was used for scanning. The data were analyzed using GenePixTMPro 6.0. Results: We revealed a significant (p < 0.05) increase in expression of such proteins as C-myc, SMAD4, PCAF, Adaptin (b1 + b2), FAK Phospho (pY577), PKC g and Phospho-Pyk2 (pY579/580) by 2.1; 1.5; 1.5; 1.5; 2.7 and 1.6 times, respectively, in tumor tissue of patients with metastatic colorectal cancer compared to non-tumor colon tissues. A significant increase (p < 0.05) in expression of proteins NGFR p75 (Nerve Growth Factor Receptor) by 3.8 times and Phospho-Ta (pS199 / 202) by 1.9 times was found in tumor tissue of patients with non-metastatic CRC in comparison with non-tumor colon tissue. Conclusions: The study showed changes in proteomic profile of malignant colon tissue, and proteomic profile differed significantly in tumor tissues of patients with metastatic and non-metastatic cancer. We found changes in expression of 9 proteins, differential in each group of patients (with metastatic and non-metastatic CRC). These proteins have a high potential as biomarkers for CRC prognosis prediction.