Известия высших учебных заведений. Поволжский регион: Медицинские науки (Mar 2020)
THE ROLE OF GROWTH FACTORS IN THE DIAGNOSTICS OF TUMOR PROGRESSION IN BREAST CANCER
Abstract
Background. Neoplastic transformation of tumor cells in breast cancer is associated with accumulation of genetic disorders during an individual 's lifetime. At present, molecular genetic studies have established the heterogeneous nature of genomic lesions, which determine the nature of the disease, its prognosis and the strategy of treatment of patients. Purpose of the study is to establish changes in VEGF and serum TGFβ1 in breast cancer patients depending on the stage of the disease and the biological subtype of the tumor. Materials and methods. The study includes 80 patients, aged 50 to 69, with invasive duct and slice cancer of breast, II and III degree of malignancy, various biological subtypes according to immunohistochemical analysis. Patients are divided into groups depending on the stage of the disease and the biological subtypes of breast cancer. Results. As a result, VEGF and serum TGF-b1 levels in almost all breast cancer patients exceeded those of practically healthy women. However, the most significant change in the level of growth factors occurred in groups of patients with 3-4 stages of disease and in groups with THP, Ner2-positive luminal B, Ner-positive nonluminal breast cancer. The results of the TGF-b1 level study characterize the malignancy of tumor growth and its progression, the rise of VEGF content is an additional indicator of the progression of PMG associated with the adverse prognosis. A rational approach to the use of these markers can increase the relative diagnostic significance of the results obtained. Conclusions. The build-up of TGF [beta] 1 and VEGF in serum in breast cancer patients is a consequence of the restructuring of the cytokine network of the tumor microenvironment, which determines further tumor progression and metastasis. Determination of growth factors (TGF [beta] 1 and VEGF) in blood serum allows to identify groups of patients at high risk of tumor progression, metastasis, and can be used to predict the course of the disease and choose the algorithm for treating breast cancer patients.
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