Klin Onkol 2007; 20(6): 377-383.
Backgrounds: Early diagnosis and immediate therapeutic interventions are crucial factors for successful cancer treatment. New biomarkers are needed for timely diagnosis, more precise histopathological classifi cation or for prediction of treatment response. Our study was aimed at the differential analysis of protein expression profi les of cancer and non-cancer tissue from 105 patients with breast cancer. Methods and Results: Tissue lysates were analyzed by SELDI-TOF-MS on copper chelating chips IMAC 30. Peak intensities were statistically evaluated by Wilcoxon test with signifi cance defi ned as p <0,01. 28 peaks are overexpressed in tumour tissue and 18 peaks are overexpressed in normal tissue. Protein with molecular weight 15841 Da was identifi ed as the beta chain of haemoglobin by method of peptide mass fi ngerprint (PMF). Conclusions: Analysis of the protein expression profi le by SELDI-TOFMS is able to provide a new point of view on diagnostic and tumor classifi cation. Further independent studies of new sets of samples are essential for verifi cation of specifi city and sensitivity of the presented potential biomarkers.
