ECE2017 Guided Posters Adrenal 1 (10 abstracts)
12nd Department of Medicine, Semmelweis University, Budapest, Hungary; 2Molecular Medicine Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary; 3Endocrinology Unit, Department of Medicine, University of Padua, Padova, Italy; 4Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA; 5Department of Experimental and Clinical Biomedical Sciences, Endocrinology Unit, University of Florence, Florence, Italy; 6Department of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary; 7Lendület-2013 Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary.
Background: Extracellular vesicles (exosomes, microvesicles) shed from tumor cells containing microRNAs can be exploited as markers of malignancy. The preoperative diagnosis of adrenocortical malignancy is difficult and microRNAs have proved useful in the diagnosis of many tumors, including adrenocortical cancer (ACC), but there have no studies to date on extracellular vesicle associated microRNAs in ACC.
Aim: To evaluate the diagnostic potential of extracellular vesicle-associated (exosomal) microRNAs in human adrenocortical tumors.
Methods: The isolation of extracellular vesicles (EV) was performed either by differential centrifugation/ultracentrifugation or by applying Total Exosome Isolation Kit. EV preparations were also assessed by transmission electron microscopy and flow cytometry. 6 adrenocortical adenomas (ACA) and 6 histologically verified ACC samples were profiled by Taqman Human Microarray A-cards in the discovery cohort. The significantly differentially expressed microRNAs were validated in 13 ACAs and 12 ACCs by targeted quantitative real-time PCR.
Results: Significant overexpression of EV-associated hsa-miR-101 and hsa-miR-483-5p was measured in ACC vs ACA samples in the microRNA profiling. We could confirm the overexpression of these microRNAs in the validation cohort, too. dCThsa-miR-483-5p normalized to cel-mir-39 showed the highest area under curve (AUC) value (0.96), with 91.67 sensitivity and 92.33 specificity.
Conclusions: Extracellular vesicle-associated (exosomal) hsa-miR-483-5p might be a promising minimally invasive biomarker in the preoperative diagnosis of ACC.