Model of specific diagnostics of ovarian cancer stages

I I Antoneeva; T V Abakumova; T P Gening; S O Gening; S S Pirmamedova

doi:10.17816/KMJ1700

Kazan medical journal ›› 2012, Vol. 93 ›› Issue (5) : 739 -743. DOI: 10.17816/KMJ1700

Theoretical and clinical medicine

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Model of specific diagnostics of ovarian cancer stages

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Abstract

Aim. To develop the model of specific diagnostics of III-IV stages of ovarian cancer. Methods. 404 patients with I-IV stages of primary ovarian cancer according to International Federation of Gynecology and Obstetrics classification were examined. Ultrasonography of genitalia and internal organs, chest X-ray in order to detect possible remote metastases, cytological, histological and immunohistological examination of tumor mass, as well as «lipid peroxidation - antioxidants» system condition of tumor tissue and patients’ serum were examined. Results. Elevated level of a lipid peroxidation product, malondialdehyde, was found in tumor tissue of patients with ovarian cancer, with levels of malondialdehyde growing from clinical stage I to clinical stage III of the disease. Leukocyte counts of peripheral blood statistically significantly decreased at stages I-III and elevated at stage IV. However, aerobic and anaerobic cytotoxicity of neutrophils decreases. An algorithm of supplementary diagnostic tools use to define the stage of ovarian cancer was developed, as well as differentiation coefficient calculation formula. Conclusion. Defining the serum levels of malondialdehyde, catalase and glutathione reductase activity allows to calculate the coefficient for differentiation between stages III and IV of ovarian cancer, and detection of cation proteins level, myeloperoxidase activity and phagocytic index allows to calculate the coefficient for differentiation between stages II and III of ovarian cancer.

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ovarian cancer / staging / reduction-oxidation processes / immunity / differentiation coefficient

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I I Antoneeva, T V Abakumova, T P Gening, S O Gening, S S Pirmamedova. Model of specific diagnostics of ovarian cancer stages. Kazan medical journal, 2012, 93(5): 739-743 DOI:10.17816/KMJ1700

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