Clinical Medicine V. (Poster discussion will take place in the Aula during the Coffee Break)
Dr. Péter, Turai
Belgyógyászati és Onkológiai Klinika, ÁOK, Semmelweis
30/6857867
peteturai@gmail.com
Analysis of circular RNA expression in adrenocortical tumors
Péter István Turai 1,2,3, Gábor Nyírő 3, Katalin Borka 4, Tamás Micsik 5, István Likó 6,7, Attila Patócs 7,8,9, Péter Igaz 1,2,3
1 Department of Endocrinology, Faculty of Medicine, Semmelweis University, H-1083 Budapest, Hungary
2 Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, H-1083 Budapest, Hungary
3 MTA-SE Molecular Medicine Research Group, Eötvös Loránd Research Network, H-1083 Budapest, Hungary
4 2nd Department of Pathology, Semmelweis University, H-1091 Budapest, Hungary
5 1st Department of Pathology and Experimental Cancer Research, Semmelweis University, H-1085 Budapest, Hungary
6 Bionics Innovation Center, H-1089 Budapest, Hungary
7 MTA-SE Hereditary Tumors Research Group, Eötvös Lóránd Research Network, H-1089 Budapest, Hungary
8 Department of Molecular Genetics, National Institute of Oncology, H-1022 Budapest, Hungary
9 Hungary Department of Laboratory Medicine, Faculty of Medicine, Semmelweis University, H-1089 Budapest, Hungary
Szóbeli
Clinical Medicine V. (Poster discussion will take place in the Aula during the Coffee Break)
Hungarian
Clinical Medicine
Introduction. Incidental adrenal tumors (5-7% prevalence) are predominantly represented by benign adrenocortical adenomas (ACA) with excellent prognosis, however, rarely (incidence: 0.7-2/million/year), adrenocortical carcinoma (ACC) occurs with a five-year survival of less than 30%. Differentiation of ACA and ACC could be rather challenging. Circular RNAs (circRNAs) have been implicated as relevant factors in tumorigenesis but has not been studied in adrenocortical tumors, yet. CircRNAs are thought to be involved in the epigenetic regulation along with the microRNAs.
Aim: To explore the circRNA expression profiles in benign and malignant adrenocortical tumors by next-generation sequencing followed by RT-qPCR validation.
Materials and methods. Formalin-fixed, paraffin-embedded (FFPE) samples including 8 ACC, 8 ACA and 8 normal adrenal cortex (NAC) were used. To maximize purification process for low abundance circRNAs, we applied RNase R digestion, polyadenylation and depletion method. For expression profiling of known and novel circRNAs, MiSeq (Illumina) next-generation sequencing (NGS) platform was used. RNA-seq reads were mapped to GRCh38 reference genome. Data matrix was generated with circRNAprofiler (Bioconductor) and limma-trend algorithm was used to evaluate the differentially expressed circRNAs. Three different circRNA detection tools (CIRI2, CircExplorer2, AutoCirc) were used for the discovery of de novo circRNAs. The top 5 most differentially expressed circRNAs were measured by RT-qPCR in an independent ACC (11), ACA (7), NAC (8) cohort. In silico predicted microRNA sponging of differentially expressed circRNAs is currently studied by TaqMan RT-qPCR assays on the same former samples.
Results. Significantly differentially expressed circRNAs have been revealed between ACC versus ACA and ACC versus NAC cohorts by NGS. Out of the top 5 significantly different circRNAs (PHC3, FCGBP, TIMMDC1, KDM4C, MAN1A2) PHC3 could be confirmed to be significantly overexpressed in ACC and ACA vs. NAC samples by RT-qPCR.
Conclusion. We were able to find novel and differentially expressed circRNAs in adrenocortical tumors. There is significant difference in expression of PHC3 in ACC and ACA versus NAC cohorts validated by RT-qPCR. In silico predicted miRNA interactions is currently studied by RT-qPCR.
ÚNKP-21-3; (NKFIH) K134215
Semmelweis University, Károly Rácz Doctoral School of Clinical Medicine
Dr. Peter Igaz
I give consent to the publication of my abstract on the website of the congress.
Szabad
elfogadva
szóbeli
nem rendelkezett róla
3823
10:00
10:15
Péter István Turai 1,2,3, Gábor Nyírő 3, Katalin Borka 4, Tamás Micsik 5, István Likó 6,7, Attila Patócs 7,8,9, Péter Igaz 1,2,3
1 Department of Endocrinology, Faculty of Medicine, Semmelweis University, H-1083 Budapest, Hungary
2 Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, H-1083 Budapest, Hungary
3 MTA-SE Molecular Medicine Research Group, Eötvös Loránd Research Network, H-1083 Budapest, Hungary
4 2nd Department of Pathology, Semmelweis University, H-1091 Budapest, Hungary
5 1st Department of Pathology and Experimental Cancer Research, Semmelweis University, H-1085 Budapest, Hungary
6 Bionics Innovation Center, H-1089 Budapest, Hungary
7 MTA-SE Hereditary Tumors Research Group, Eötvös Lóránd Research Network, H-1089 Budapest, Hungary
8 Department of Molecular Genetics, National Institute of Oncology, H-1022 Budapest, Hungary
9 Hungary Department of Laboratory Medicine, Faculty of Medicine, Semmelweis University, H-1089 Budapest, Hungary