| Literature DB >> 32791542 |
Samuel W Plaska1, Chia-Jen Liu2,3, Jung Soo Lim1,4, Juilee Rege1, Nolan R Bick1,3, Antonio M Lerario5, Gary D Hammer1,5,6,7, Thomas J Giordano3,5,7, Tobias Else5, Scott A Tomlins3, William E Rainey1,5,7, Aaron M Udager2,3,7.
Abstract
Lack of routine fresh or frozen tissue is a barrier to widespread transcriptomic analysis of adrenal cortical tumors and an impediment to translational research in endocrinology and endocrine oncology. Our group has previously pioneered the use of targeted amplicon-based next-generation sequencing for archival formalin-fixed paraffin-embedded (FFPE) adrenal tissue specimens to characterize the spectrum of somatic mutations in various forms of primary aldosteronism. Herein, we developed and validated a novel 194-amplicon targeted next-generation RNA sequencing (RNAseq) assay for transcriptomic analysis of adrenal tumors using clinical-grade FFPE specimens. Targeted RNAseq-derived expression values for 27 adrenal cortical tumors, including aldosterone-producing adenomas (APA; n=8), cortisol-producing adenomas (CPA; n=11), and adrenal cortical carcinomas (ACC; n=8), highlighted known differentially-expressed genes (DEGs; i. e., CYP11B2, IGF2, etc.) and tumor type-specific transcriptional modules (i. e., high cell cycle/proliferation transcript expression in ACC, etc.), and a subset of DEGs was validated orthogonally using quantitative reverse transcription PCR (qRT-PCR). Finally, unsupervised hierarchical clustering using a subset of high-confidence DEGs revealed three discrete clusters representing APA, CPA, and ACC tumors with corresponding unique gene expression signatures, suggesting potential clinical utility for a transcriptomic-based approach to tumor classification. Overall, these data support the use of targeted amplicon-based RNAseq for comprehensive transcriptomic profiling of archival FFPE adrenal tumor material and indicate that this approach may facilitate important translational research opportunities for the study of these tumors. © Georg Thieme Verlag KG Stuttgart · New York.Entities:
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Year: 2020 PMID: 32791542 PMCID: PMC7880170 DOI: 10.1055/a-1212-8803
Source DB: PubMed Journal: Horm Metab Res ISSN: 0018-5043 Impact factor: 2.936