DESIGNING OF ALGORITHM FOR DIAGNOSIS OF BLADDER CANCER BASED ON THE STUDY OF URINE SEDIMENT CELLS BY FLOW CYTOMETRY
More than 430 thousand new cases of bladder cancer diagnosed in the world every year. In 80% of the patients with a malignant tumor is within the mucosal and submucosal layers (stage Ta, Tis, T1) at the time of initial application. The highly sensitive and minimally invasive diagnostic methods based on the determination of biologically active molecules as molecular targets should be used to improve the efficiency of early detection of bladder cancer. This paper describes the application of the method of flow cytometry to determine surface markers and characteristics of the mitotic cycle of cells of urine sediment. Changes in the expression of the studied antigens - CD13, CD15, CD45 and the proportion of cells in different phases of the mitotic cycle were found in patients with noninvasive bladder cancer. The obtained data is subjected to mathematical analysis with statistically significant predictors of the presence of bladder cancer. Algorithm for optimization of diagnosis of malignant tumors of the urinary bladder was developed on the basis of the created discriminant model.