Tatyana Gening, Alexander Butov, Tatyana Abakumova, Inna Antoneeva, Dinara Dolgova, Igor Sannikov, Snezhanna Gening, Alla Mikheenko and Antonina Tuzeeva
Background: The aim of the study was to elaborate a method of specific diagnostics of progressive ovarian cancer.
Methods and Findings: We observed 21 parameters in plasma of 300 primary ovarian cancer patients, stage III and IV. Using the least squares method, approximation of the relative frequencies by the Rayleigh distribution density was conducted for each parameter. The likelihood functions were constructed and intervals for each measurement on each stage were determined. Approximation accuracy was identified while checking the hypothesis of correspondence of parameter practical value to the theoretical law of density distribution by Pearson criterion.
Conclusions: The obtained results suggest that the level of the oxidative modification of proteins may serve as a reliable indicator for the differential diagnosis of stages III and IV ovarian cancer.