ECE2021 Presented Eposters Presented ePosters 11: Adrenal and Cardiovascular Endocrinology (8 abstracts)
1North-Western State Medical University named after I.I. Mechnikov, Saint-Petersburg, Russia, Endocrinology Department Named after Academician V.G. Baranov, Saint Peterburg, Russian Federation; 2North-Western State Medical University named after I.I. Mechnikov, Saint-Petersburg, Russia, Chromatography Research Laboratory, Saint Peterburg, Russian Federation; 3Federal State Budgetary Institution N.N. Blokhin National Medical Research Center of Oncology of the Ministry of Health of the Russian Federation, Surgical departmenet #2, Moscow, Russian Federation; 4Moscow Regional Research and Clinical Institute (MONIKI), , Surgical department #2, Moscow, Russian Federation; 5Federal State Budgetary Institution N.N. Blokhin National Medical Research Center of Oncology of the Ministry of Health of the Russian Federation, Laboratory of Clinical Biochemistry, Moscow, Russian Federation
Background
The aim of the study was to evaluate urine steroid metabolomics by gas chromatographymass spectrometry (GCMS) for the adrenocortical carcinoma (ACC) metastases` biomarkers detection in patients after the surgery.
Patients and methods
33 postoperative ACC patients were examined before and after the surgery. The median age was 47 years (4160). The Weiss score was more than 3 points according to the histological analysis. 9 patients were disease-free in the early postoperative period (up to 12 months after surgery). Metastases were detected 15 years after the operation in 18 patients. The control group consisted of 25 patients with adrenocortical adenoma (ACA) without malignant features defined by the histological analysis. The median age was 52 (4761) years. We studied urine steroid profile using gas chromatographmass spectrometer SHIMADZU GCMS QP 2020. Statistical data was processed with software STATISTICA for WINDOWS (Version 10). Results comparison was made using MannWhitney test.
Results
The ACC`s main biomarkers urinary excretion (dehydroepiandrosterone (DHEA), 16α-DHEA, etiocholanolone (Et), pregnandiol (P2), pregnantriol (P3), pregnendiol (dP2), 16-hydroxypregnendiol (16-OH-dP2), pregnentriol (dP3), tetrahydro-11-deoxycortisol (THS) was determined using GCMS. The abovementioned metabolites excretion rates were decreased in all disease-free postoperative patients as compared to the same patients` preoperative steroid profiles. Nevertheless, the 16α- DHEA, 16-OH-dP2, THS excretion was increased compared with control group. The 21-hydroxypregnendiol (21-OH-dP2), 20-on-3, 11, 17 and 21-pregnentetrol (20-on -dP4) were identified in the urine of all ACC recurrence patients. The increased 16-OH-dP2-3β excretion and decreased 16-OH-dP2-3α/16-OH-dP2-3β ratio ( <2.0) were typical for ACC recurrence patients in comparison with disease-free patients. The 10 patients of the disease recurrence cohort had the THS, androgen (DHEA and its metabolites), progestogenes (P2, P3), 5-ene-pregnenes (dP2, dP3, 16-OH-dP2) increased excretion. While in the other 8 patients of the same cohort THS and 5-ene-pregnenes increase was observed.
Conclusion
ACC postoperative recurrence biomarkers were obtained using urinary steroid profiling. The study of androgen, progesterone, pregnenolone metabolites, THS, 3β, 16, 20-dP3, 21-OH-dP2, 21-OH-dP4 urinary excretion and 3α, 16, 20-dP3/3β, 16, 20-dP3 ratio is of particular importance for detecting the ACC metastases development in the early postoperative period.