Abstract
Context: Pathogenesis of autonomous steroid secretion and adrenocortical tumorigenesis remains partially obscure. Objective: To investigate the relationship between transcriptome profile and genetic Background: in a large series of adrenocortical tumors and identify new potential pathogenetic mechanisms. Design: Cross-sectional study. Setting: University Hospitals of the European Network for the Study of Adrenal Tumors (ENSAT). Patients: We collected snap-frozen tissue from patients with adrenocortical tumors (n = 59) with known genetic background: 26 adenomas with Cushing syndrome (CS- cortisol-producing adenoma [CPA]), 17 adenomas with mild autonomous cortisol secretion (MACS-CPAs), 9 endocrine-inactive adenomas (ElAs), and 7 adrenocortical carcinomas (ACCs). Intervention: Ribonucleic acid (RNA) sequencing. Main Outcome Measures: Gene expression, long noncoding RNA (lncRNA) expression, and gene fusions. Correlation with genetic Background: defined by targeted Sanger sequencing, targeted panel- or whole-exome sequencing. Results: Transcriptome analysis identified 2 major clusters for adenomas: Cluster 1 (n = 32) mainly consisting of MACS-CPAs with CTNNB1 or without identified driver mutations (46.9% of cases) and 8/9 ElAs;Cluster 2 (n = 18) that comprised CRCPAs with or without identified driver mutation in 83.3% of cases (including all CS-CPAs with PRKACA mutation). Two CS-CPAs, 1 with CTNNErl and 1 with GNAS mutation, clustered separately and relatively close to ACC. IncRNA analysis well differentiate adenomas from ACCs. Novel gene fusions were found, including AKAP13-PDE8A in one CS-CPA sample with no driver mutation. Conclusions: MACS-CPAs and ElAs showed a similar transcriptome profile, independently of the genetic background, whereas most CS-CPAs clustered together. Still unrevealed molecular alterations in the cAMP/PKA orWnt/beta catenin pathways might be involved in the pathogenesis of adrenocortical tumors.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Medizin |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
ISSN: | 0021-972X |
Sprache: | Englisch |
Dokumenten ID: | 87144 |
Datum der Veröffentlichung auf Open Access LMU: | 25. Jan. 2022, 09:22 |
Letzte Änderungen: | 25. Jan. 2022, 09:22 |