Mass Spectrometry in Prediction of the Myomas Recurrence

Abstract

Study Objective The mass spectrometric study of changes in the lipid profile of various tissues in patients with recurrent fibroids and the use of mass spectrometric data in the prediction of myoma recurrence. Design Level II-1, Canadian Task Force. Setting National Medical Research Center, Moscow, Russia. Patients or Participants Lipid analysis of the myometrium, fibroids, and plasma was conducted in 66 patients: 35 patients with newly diagnosed uterine fibroids (UF) and 31 patients with recurrent myoma (RUF). Plasma only was studied in the control group of 15 patients who underwent intrauterine septum resection. A semi-quantitative assessment of tissue lipid levels was performed using direct mass spectrometry. A semi-quantitative assessment of blood plasma lipidome was conducted. The suitability of biomarkers for diagnostics was assessed. Interventions Laparoscopic myomectomy, followed by lipid analysis of obtained samples of myometrium, fibroids, and plasma. Measurements and Main Results Significant differences were found in the levels of lipids involved in the metabolism of glycerophospholipids, sphingolipids, triglycerides, fatty acids when studying uterine fibroids. Studying of the myometrium identified the difference in the levels of lipids involved in the metabolism of glycerophospholipids, lipids with an ether bond, and sphingolipids. In patients with recurrent disease, linoleic acid metabolism was altered in the tissues of the fibroids and not in the myometrium. Significant differences were found in the levels of cholesterol esters, triacylglycerols, (lyso) phosphatidylcholines, and sphingomyelins when comparing the plasma of the control group with the plasma of the UF and RUF groups. When comparing plasma of groups UF and RUF, lipids belonging to the classes of cholesterol esters, phosphotidylcholines, sphingomyelins, triacylglycerols were identified as significant. Conclusion A broad, diagnostically significant panel of potential serologic biomarkers for the diagnosis of recurrent myoma was identified in this study.