SUPPORT TOOL FOR DECISION-MAKING IN SELECTING CHEMOTHERAPY TACTICS FOR TREATMENT OF BREAST CANCER PATIENTS

Breast cancer (BC) is the most commonly occurring oncologic disease in women over the world. The introduction of modern methods of diagnostics and treatment of BC patients allowed achieving some success in the disease control. Chemotherapy (CT) is one of the most effective treatments for BC patients, but the individualization of the choice of effective treatment regimens remains an unresolved issue. Aim of the study: to develop approaches to enhance the effectiveness of treatment of BC patients following the levels of circulating serum miRNAs, which are associated with sensitivity to polychemotherapy. Basing on the analysis of literature data we selected the pattern with 10 miRNAs (200с, 205, 30а, 155, 25-3p, 27а, 663, 335, 139-5р, and 497), circulating in blood serum, as markers of sensitivity/resistance of breast tumors to chemotherapy. A mathematic model was developed to estimate the effectiveness of the standard CT regimens basing on the level of expression of chosen miRNAs. Experimental verification of mathematic model performance was provided with Fortran 2018 program complex. We developed a tool of decision-making support for oncologists that may significantly facilitate the development of the CT tactics in BC patients at the stage of selection of effective CT regimen. The developed mathematic model may serve as a basis for scheduling of effectiveness prognosis of certain polychemotherapy regimens in an individual patient.