Immunoassay and discriminant analysis to improve the diagnosis of ovarian cancer in the elderly.

Abstract

Ovarian cancer is a common pathology in the structure of tumors among elderly women. The aim of the work is to identify the leading indicators of interleukin profile to improve the diagnosis of ovarian cancer in the elderly. Enzyme immunoassay studied serum levels of interleukins in 78 patients with ovarian cancer stage IIB-IIIB according to the classification of FIGO at the age of 65-70 years and 42 women of similar age without ovarian cancer at the time of the study and in history. The differentiation of the compared groups is carried out by means of discriminant method. The leading diagnostic interleukins for ovarian cancer in the elderly are IL-1α, IL-1β, IL-8 and TNF-α. The constructed discriminant models allow to differentiate patients with ovarian cancer and control women with an accuracy of 93.2-93.8%. The use of enzyme immunoassay and discriminant analysis improve the diagnosis of ovarian cancer in the elderly.