Optimizing the management of patients with ovarian cancer

<p>The proposed model for prediction of disease outcome on the basis of assessing the level of tissue kallikreins has a high predictive value and accuracy index, and can be used to develop a strategy for post-operative chemotherapy.</p><p><strong>Aim. </strong>Increase the effectiveness of the combined treatment of patients with ovarian cancer by predicting and individualization of treatment strategies based on analysis of the content of kallikreins 5 (hK5) and 13 (hK13).</p><p><strong>Materials and methods.</strong> All the patients underwent a comprehensive examination. Histological studies were conducted in the tissue removed during surgery. All patients studied a content of kallikrein 5 and 13 in cytosolic extract of tumor that removed during surgery.</p><p><strong>Results. </strong>It can be stated that in the cytosolic extract of tissue of malignant ovarian tumors observed increase in the concentration of hK5 and a tendency to decrease in the concentration of hK13. The concentration of hK5 increases and concentration of hK13 decreases during decreasing the degree of differentiation and increasing the disease stage.</p><p><strong>Conclusions.</strong> Prospects for further research in this area relate not only to exploring the use of kallikrein in the diagnosis of ovarian cancer and prognosis of the results of his treatment, but also developing new ways of chemotherapeutic effects on tumor growth.