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Transcriptome in paraffin samples for the diagnosis and prognosis of adrenocortical carcinoma
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bioscientifica Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066577/ https://www.ncbi.nlm.nih.gov/pubmed/35266879 http://dx.doi.org/10.1530/EJE-21-1228 |
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author | Jouinot, Anne Lippert, Juliane Sibony, Mathilde Violon, Florian Jeanpierre, Lindsay De Murat, Daniel Armignacco, Roberta Septier, Amandine Perlemoine, Karine Letourneur, Franck Izac, Brigitte Ragazzon, Bruno Leroy, Karen Pasmant, Eric North, Marie-Odile Gaujoux, Sébastien Dousset, Bertrand Groussin, Lionel Libe, Rossella Terris, Benoit Fassnacht, Martin Ronchi, Cristina L Bertherat, Jérôme Assie, Guillaume |
author_facet | Jouinot, Anne Lippert, Juliane Sibony, Mathilde Violon, Florian Jeanpierre, Lindsay De Murat, Daniel Armignacco, Roberta Septier, Amandine Perlemoine, Karine Letourneur, Franck Izac, Brigitte Ragazzon, Bruno Leroy, Karen Pasmant, Eric North, Marie-Odile Gaujoux, Sébastien Dousset, Bertrand Groussin, Lionel Libe, Rossella Terris, Benoit Fassnacht, Martin Ronchi, Cristina L Bertherat, Jérôme Assie, Guillaume |
author_sort | Jouinot, Anne |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9066577 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Bioscientifica Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-90665772022-05-04 Transcriptome in paraffin samples for the diagnosis and prognosis of adrenocortical carcinoma Jouinot, Anne Lippert, Juliane Sibony, Mathilde Violon, Florian Jeanpierre, Lindsay De Murat, Daniel Armignacco, Roberta Septier, Amandine Perlemoine, Karine Letourneur, Franck Izac, Brigitte Ragazzon, Bruno Leroy, Karen Pasmant, Eric North, Marie-Odile Gaujoux, Sébastien Dousset, Bertrand Groussin, Lionel Libe, Rossella Terris, Benoit Fassnacht, Martin Ronchi, Cristina L Bertherat, Jérôme Assie, Guillaume Eur J Endocrinol Clinical Study 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. Bioscientifica Ltd 2022-03-10 /pmc/articles/PMC9066577/ /pubmed/35266879 http://dx.doi.org/10.1530/EJE-21-1228 Text en © The authors https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License. (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Clinical Study Jouinot, Anne Lippert, Juliane Sibony, Mathilde Violon, Florian Jeanpierre, Lindsay De Murat, Daniel Armignacco, Roberta Septier, Amandine Perlemoine, Karine Letourneur, Franck Izac, Brigitte Ragazzon, Bruno Leroy, Karen Pasmant, Eric North, Marie-Odile Gaujoux, Sébastien Dousset, Bertrand Groussin, Lionel Libe, Rossella Terris, Benoit Fassnacht, Martin Ronchi, Cristina L Bertherat, Jérôme Assie, Guillaume Transcriptome in paraffin samples for the diagnosis and prognosis of adrenocortical carcinoma |
title | Transcriptome in paraffin samples for the diagnosis and prognosis of adrenocortical carcinoma |
title_full | Transcriptome in paraffin samples for the diagnosis and prognosis of adrenocortical carcinoma |
title_fullStr | Transcriptome in paraffin samples for the diagnosis and prognosis of adrenocortical carcinoma |
title_full_unstemmed | Transcriptome in paraffin samples for the diagnosis and prognosis of adrenocortical carcinoma |
title_short | Transcriptome in paraffin samples for the diagnosis and prognosis of adrenocortical carcinoma |
title_sort | transcriptome in paraffin samples for the diagnosis and prognosis of adrenocortical carcinoma |
topic | Clinical Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066577/ https://www.ncbi.nlm.nih.gov/pubmed/35266879 http://dx.doi.org/10.1530/EJE-21-1228 |
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