Research on the biomarkers for the prediction of efficacy in first-line chemotherapy of metastatic colorectal cancer using SELDI-TOF-MS

Abstract

Objective To identify serum protein patterns which could predict the efficacy of first-line chemotherapy of metastatic colorectal cancer(CRC). Methods Serum from 70 patients diagnosed as metastatic colorectal cancer before first-line chemotherapy were collected and analyzed for protein patterns using ANN analysis of SELDI-TOF-MS.Among the 70 cases, 44 patients received FOLFOX regimen, while the other 26 patients received FOLFIRI regimen.After four cycles of the treatment, RECIST criteria were used to define the responders(R)and non-responders(NR). Results With the method of SELDI-TOF-MS, 10 protein peaks were identified to be significantly high expressed in 42 responders than in those 28 non-responders.A prediction model was constructed by the combination of these 10 peaks, which could achieve an accuracy of 90.0%(63/70)for the chemotherapy efficiency of CRC patients. Conclusions The prediction model combined of 10 protein peaks could be helpful for prediction of the first-line chemotherapy efficiency of metastatic CRC patients. Key words: Biological markers; Colorectal neoplasms; Protein array analysis