Oral Presentations: Oncology
Dr. Perge, Pál
Semmelweis University, Faculty of Medicine, 2nd Department of Medicine
+36305208023
paul.perge@gmail.com
Evaluation of circulating extracellular vesicle-associated microRNAs as minimally invasive biomarkers of adrenocortical tumors
Pál Perge1, Henriett Butz2, Raffaele Pezzani3, Irina Bancos4, Zoltán Nagy1, Ábel Decmann1, Michaela Luconi5, Massimo Mannelli5, Edit I. Buzás6, Miklós Tóth1, Marco Boscaro3, Attila Patócs2,7, Peter Igaz1
1 2nd Department of Medicine, Semmelweis University
2 Molecular Medicine Research Group, Hungarian Academy of Sciences and Semmelweis University
3 Endocrinology Unit, Department of Medicine, University of Padua
4 Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Internal Medicine
5 Department of Experimental and Clinical Biomedical Sciences, Endocrinology Unit, University of Florence
6 Department of Genetics, Cell- and Immunobiology
7 “Lendület-2013” Research Group, Hungarian Academy of Sciences and Semmelweis University,
Evaluation of circulating extracellular vesicle-associated microRNAs as minimally invasive biomarkers of adrenocortical tumors
Oral Presentations: Oncology
Doctoral School: Clinical Medicine
Program: Hormonal regulations
Supervisor: Péter Igaz
E-mail: paul.perge@gmail.com
Introduction: The preoperative diagnosis of adrenocortical malignancy is challenging. In our previous study, we found that circulating microRNAs isolated from the whole plasma could be potential biomarkers for adrenocortical carcinoma (ACC). We hypothesized that microRNAs secreted in extracellular vesicles (EV), such as exosomes or microvesicles could be more sensitive and specific than microRNAs isolated from the whole plasma. There have been no studies to date on extracellular vesicle-associated microRNAs in ACC.
Aims: The objective of this study was to evaluate the expresssion of exosomal microRNAs and their potential diagnostic utility in patients suffering from adrenocortical tumors.
Method: The isolation of extracellular vesicles was performed either by applying Total Exosome Isolation Kit or by differential centrifugation/ultracentrifugation. EV preparations were also assessed by transmission electron microscopy and flow cytometry. In the discovery cohort, 6 adrenocortical adenomas (ACA) and 6 histologically verified ACC samples were profiled by Taqman Human Microarray A-cards. Significantly differentially expressed microRNAs were validated in 13 ACAs and 12 ACCs by targeted quantitative real-time PCR.
Results: Hsa-miR-101 and hsa-miR-483-5p were significantly overexpressed in adrenocortical carcinoma versus adrenocortical adenoma samples. The overexpression of these miRNAs was confirmed in the validation cohort, as well. Receiver operator characteristics of data revealed dCThsa-miR-483-5p normalized to cel-mir-39 to have the highest diagnostic accuracy (area under curve 0.958), the sensitivity and the specificity were 91.67 and 92.33, respectively.
Conclusion: Exosomal hsa-miR-483-5p appears to be a promising minimally invasive biomarker in the preoperative diagnosis of ACC. Nevertheless, further validation in a larger cohort of patients is necessary to confirm its clinical applicability.
Szabad
nem rendelkezett róla
1029
Pál Perge1, Henriett Butz2, Raffaele Pezzani3, Irina Bancos4, Zoltán Nagy1, Ábel Decmann1, Michaela Luconi5, Massimo Mannelli5, Edit I. Buzás6, Miklós Tóth1, Marco Boscaro3, Attila Patócs2,7, Peter Igaz1
1 2nd Department of Medicine, Semmelweis University
2 Molecular Medicine Research Group, Hungarian Academy of Sciences and Semmelweis University
3 Endocrinology Unit, Department of Medicine, University of Padua
4 Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Internal Medicine
5 Department of Experimental and Clinical Biomedical Sciences, Endocrinology Unit, University of Florence
6 Department of Genetics, Cell- and Immunobiology
7 “Lendület-2013” Research Group, Hungarian Academy of Sciences and Semmelweis University,
Evaluation of circulating extracellular vesicle-associated microRNAs as minimally invasive biomarkers of adrenocortical tumors