Transcriptome in paraffin samples for the diagnosis and prognosis of adrenocortical carcinoma

Anne Jouinot, Juliane Lippert, Mathilde Sibony, Florian Violon, Lindsay Jeanpierre, Daniel De Murat, Roberta Armignacco, Amandine Septier, Karine Perlemoine, Franck Letourneur, Brigitte Izac, Bruno Ragazzon, Karen Leroy, Eric Pasmant, Marie-odile North, Sébastien Gaujoux, Bertrand Dousset, Lionel Groussin, Rossella Libe, Benoit TerrisMartin Fassnacht, Cristina L Ronchi, Jérôme Bertherat, Guillaume Assie

Research output: Contribution to journalArticlepeer-review

Abstract

Design: Molecular classification is important for the diagnosis and prognosis of adrenocortical tumors (ACT). Transcriptome profiles separate adrenocortical adenomas 'C2' from carcinomas, and identify two groups of carcinomas 'C1A' and 'C1B', of poor and better prognosis respectively. However, many ACT cannot be profiled because of improper or absent freezing procedures, a mandatory requirement so far. The main aim was to determine transcriptome profiles on formalin-fixed paraffin-embedded (FFPE) samples, using the new 3'-end RNA-sequencing technology. A secondary aim was to demonstrate the ability of this technique to explore large FFPE archives, by focusing on the rare oncocytic ACT variants.

Methods: We included 131 ACT: a training cohort from Cochin hospital and an independent validation cohort from Wuerzburg hospital. The 3' transcriptome was generated from FFPE samples using QuantSeq (Lexogen, Vienna, Austria) and NextSeq500 (Illumina, San Diego, CA, USA).

Results: In the training cohort, unsupervised clustering identified three groups: 'C1A' aggressive carcinomas (n = 28, 29%), 'C1B' more indolent carcinomas (n = 28, 29%), and 'C2' adenomas (n = 39, 41%). The prognostic value of FFPE transcriptome was confirmed in the validation cohort (5-year OS: 26% in 'C1A' (n = 26) and 100% in 'C1B' (n = 10), P = 0.003). FFPE transcriptome was an independent prognostic factor in a multivariable model including tumor stage and Ki-67 (OS HR: 7.5, P = 0.01). Oncocytic ACT (n = 19) did not form any specific cluster. Oncocytic carcinomas (n = 6) and oncocytic ACT of uncertain malignant potential (n = 4) were all in 'C1B'.

Conclusions: The 3' RNA-sequencing represents a convenient solution for determining ACT molecular class from FFPE samples. This technique should facilitate routine use and large retrospective studies.

Original languageEnglish
Pages (from-to)607-617
Number of pages11
JournalEuropean Journal of Endocrinology
Volume186
Issue number6
Early online date21 Apr 2022
DOIs
Publication statusE-pub ahead of print - 21 Apr 2022

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