SEARCH FOR BIOMARKERS SPECIFIC FOR OVARIAN CANCER BY MALDI MASS SPECTROMETRY


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Abstract

The study of fractionated serum samples, by using the genetic algorithm and taught neural network, could build mathematical models that were able to distinguish with a high degree of specificity and sensitivity the groups of the mass spectrometric sample profiles in ovarian cancer from those in apparently healthy women and patients with adenomyosis.

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About the authors

A. Sorokina

Russian Peoples’ Friendship University

Candidate of Medical Sciences

R. Ziganshin

M.M. Shemyakin & YuA. Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences

Candidate of Chemical Sciences

G. Arapidi

M.M. Shemyakin & YuA. Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences; Moscow Physico-Technical Institute

Dolgoprudny

O. Ivanova

M.M. Shemyakin & YuA. Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences

V. Radzinsky

Russian Peoples’ Friendship University

V. Govorun

M.M. Shemyakin & YuA. Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences

MD, Corresponding Member of the Russian Academy Medical Sciences

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