ECE2024 Eposter Presentations Adrenal and Cardiovascular Endocrinology (155 abstracts)
Circulating micro-RNAs are valuable biomarkers for the diagnosis and surveillance of adrenocortical tumors
Chrysoula Mytareli 1 , Vasiliki Kalotychou 1 , Alexandros Lafioniatis 1 , Vasiliki Siampanopoulou 1 , Giorgos Zografos 2 , Athina Markou 3 , Labrini Papanastasiou 3 , Athanasios Fountas 4 , Marina Mantzourani 1 , Eva Kassi 5,6 , Gregory Kaltsas 6 & Anna Angelousi 1
1Athens Medical School, NKUA, 1st Department of Internal Medicine, Laikon General Hospital, Athens, Greece; 2‘G. Gennimatas’ General Hospital of Athens, 3rd Department of Surgery, Athens, Greece; 3‘G. Gennimatas’ General Hospital of Athens, Unit of Endocrinology, and Diabetes Center, Athens, Greece; 4‘G. Gennimatas’ General Hospital of Athens, Unit of Endocrinology, and Diabetes Center, Athens, Greece; 5Athens Medical School, NKUA, Department of Biological Chemistry, Athens, Greece; 6Athens Medical School, NKUA, Department of Propaedeutic and Internal Medicine, Laikon General Hospital, Athens, Greece
Introduction: Tumor-derived material, particularly micro-RNAs, have been identified in the bloodstream and hold promise as molecular markers for diagnosing and monitoring adrenocortical incidentalomas (AIs).
Purpose: We examined selected circulating microRNAs (miR-483-5p, miR-210, miR-335, miR-22-3p), identified from microRNA profiling studies, as markers of malignancy or cortisol hypersecretion in a cohort of patients with AIs and controls in a clinical setting.
Methods: Blood samples were collected from a total of 67 patients with AIs, comprising 50 cases of adrenocortical adenomas (ACA) and 17 cases of adrenocortical carcinoma (ACC). Within the ACC group, samples were obtained either preoperatively or upon the detection of local recurrence or distant metastases in 11 cases, whereas the other 6 were collected from patients who had remained disease-free for over 3 years. Out of the 55 AI patients evaluated preoperatively, 26 had non-functioning tumors (NFAIs), 21 exhibited mild autonomous cortisol secretion (MACS) and 8 had Cushing syndrome (CS). A control group of 15 participants was enrolled for comparative analysis. Quantitative real-time polymerase chain reaction was employed to analyze microRNA expression in serum samples. Cel-miR-39-3p served as the reference gene for data normalization, and the expression levels were determined using the dCT method.
Results: Circulating miR-483-5p and miR-210 levels were considerably elevated in the group of preoperative/advanced ACC compared with ACA (P <0.001, p=0.02 respectively) and controls (P=0.03, ns, respectively). Interestingly, circulating miR-483-5p levels were also significantly elevated in preoperative/advanced ACC compared to disease-free ACC patients (P=0.04). MiR-483-5p levels demonstrated the highest sensitivity (81.8%) and specificity (92%) for distinguishing preoperative/advanced ACC from ACA (AUC=0.894, 95% CI: 0.793–0.994, P <0.001), while miR-335 levels did not reach sufficient diagnostic accuracy. MiR-22-3p levels effectively discriminated patients with CS from those with NFAIs (AUC=0.784, 95% CI: 0.626–0.941, P=0.017) reaching sensitivity up to 100% along with specificity 61.5%. MiR-22-3p levels presented a statistically significant positive correlation with 24-hour urinary free cortisol (rs=0.504, p=0.02), as well as a significant negative correlation with adrenocorticotropic hormone (rs=-0.351, p=0.01).
Conclusion: Our study suggests that specific microRNAs could serve as valuable noninvasive biomarkers for diagnosing and monitoring AIs, complementing current diagnostic tools.
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Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
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