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Chromosomal instability in the prediction of pituitary neuroendocrine tumors prognosis
The purpose of this study was to analyze the impact of copy number variations (CNV) on sporadic pituitary neuroendocrine tumors (PitNETs) prognosis, to identify specific prognosis markers according to the known clinico-pathological classification. CGH array analysis was performed on 195 fresh-frozen...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653703/ https://www.ncbi.nlm.nih.gov/pubmed/33168091 http://dx.doi.org/10.1186/s40478-020-01067-5 |
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author | Lasolle, Hélène Elsensohn, Mad-Hélénie Wierinckx, Anne Alix, Eudeline Bonnefille, Clément Vasiljevic, Alexandre Cortet, Christine Decoudier, Bénédicte Sturm, Nathalie Gaillard, Stephan Ferrière, Amandine Roy, Pascal Jouanneau, Emmanuel Bertolino, Philippe Bardel, Claire Sanlaville, Damien Raverot, Gérald |
author_facet | Lasolle, Hélène Elsensohn, Mad-Hélénie Wierinckx, Anne Alix, Eudeline Bonnefille, Clément Vasiljevic, Alexandre Cortet, Christine Decoudier, Bénédicte Sturm, Nathalie Gaillard, Stephan Ferrière, Amandine Roy, Pascal Jouanneau, Emmanuel Bertolino, Philippe Bardel, Claire Sanlaville, Damien Raverot, Gérald |
author_sort | Lasolle, Hélène |
collection | PubMed |
description | The purpose of this study was to analyze the impact of copy number variations (CNV) on sporadic pituitary neuroendocrine tumors (PitNETs) prognosis, to identify specific prognosis markers according to the known clinico-pathological classification. CGH array analysis was performed on 195 fresh-frozen PitNETs (56 gonadotroph, 11 immunonegative, 56 somatotroph, 39 lactotroph and 33 corticotroph), with 5 years post-surgery follow-up (124 recurrences), classified according to the five-tiered grading classification (invasion, Ki-67, mitotic index and p53 positivity). Effect of alterations on recurrence was studied using logistic regression models. Transcriptomic analysis of 32 lactotroph tumors was performed. The quantity of CNV was dependent on tumor type: higher in lactotroph (median(min–max) = 38% (0–97) of probes) compared to corticotroph (11% (0–77)), somatotroph (5% (0–99)), gonadotroph (0% (0–10)) and immunonegative tumors (0% (0–17). It was not predictive of recurrence in the whole cohort. In lactotroph tumors, genome instability, especially quantity of gains, significantly predicted recurrence independently of invasion and proliferation (p-value = 0.02, OR = 1.2). However, no specific CNV was found as a prognostic marker. Transcriptomic analysis of the genes included in the CNV and associated with prognosis didn’t show significantly overrepresented pathway. In somatotroph and corticotroph tumors, USP8 and GNAS mutations were not associated with genome disruption or recurrence respectively. To conclude, CGH array analysis showed genome instability was dependent on PitNET type. Lactotroph tumors were highly altered and the quantity of altered genome was associated with poorer prognosis though the mechanism is unclear, whereas gonadotroph and immunonegative tumors showed the same ‘quiet’ profile, leaving the mechanism underlying tumorigenesis open to question. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40478-020-01067-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7653703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76537032020-11-16 Chromosomal instability in the prediction of pituitary neuroendocrine tumors prognosis Lasolle, Hélène Elsensohn, Mad-Hélénie Wierinckx, Anne Alix, Eudeline Bonnefille, Clément Vasiljevic, Alexandre Cortet, Christine Decoudier, Bénédicte Sturm, Nathalie Gaillard, Stephan Ferrière, Amandine Roy, Pascal Jouanneau, Emmanuel Bertolino, Philippe Bardel, Claire Sanlaville, Damien Raverot, Gérald Acta Neuropathol Commun Research The purpose of this study was to analyze the impact of copy number variations (CNV) on sporadic pituitary neuroendocrine tumors (PitNETs) prognosis, to identify specific prognosis markers according to the known clinico-pathological classification. CGH array analysis was performed on 195 fresh-frozen PitNETs (56 gonadotroph, 11 immunonegative, 56 somatotroph, 39 lactotroph and 33 corticotroph), with 5 years post-surgery follow-up (124 recurrences), classified according to the five-tiered grading classification (invasion, Ki-67, mitotic index and p53 positivity). Effect of alterations on recurrence was studied using logistic regression models. Transcriptomic analysis of 32 lactotroph tumors was performed. The quantity of CNV was dependent on tumor type: higher in lactotroph (median(min–max) = 38% (0–97) of probes) compared to corticotroph (11% (0–77)), somatotroph (5% (0–99)), gonadotroph (0% (0–10)) and immunonegative tumors (0% (0–17). It was not predictive of recurrence in the whole cohort. In lactotroph tumors, genome instability, especially quantity of gains, significantly predicted recurrence independently of invasion and proliferation (p-value = 0.02, OR = 1.2). However, no specific CNV was found as a prognostic marker. Transcriptomic analysis of the genes included in the CNV and associated with prognosis didn’t show significantly overrepresented pathway. In somatotroph and corticotroph tumors, USP8 and GNAS mutations were not associated with genome disruption or recurrence respectively. To conclude, CGH array analysis showed genome instability was dependent on PitNET type. Lactotroph tumors were highly altered and the quantity of altered genome was associated with poorer prognosis though the mechanism is unclear, whereas gonadotroph and immunonegative tumors showed the same ‘quiet’ profile, leaving the mechanism underlying tumorigenesis open to question. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40478-020-01067-5) contains supplementary material, which is available to authorized users. BioMed Central 2020-11-10 /pmc/articles/PMC7653703/ /pubmed/33168091 http://dx.doi.org/10.1186/s40478-020-01067-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Lasolle, Hélène Elsensohn, Mad-Hélénie Wierinckx, Anne Alix, Eudeline Bonnefille, Clément Vasiljevic, Alexandre Cortet, Christine Decoudier, Bénédicte Sturm, Nathalie Gaillard, Stephan Ferrière, Amandine Roy, Pascal Jouanneau, Emmanuel Bertolino, Philippe Bardel, Claire Sanlaville, Damien Raverot, Gérald Chromosomal instability in the prediction of pituitary neuroendocrine tumors prognosis |
title | Chromosomal instability in the prediction of pituitary neuroendocrine tumors prognosis |
title_full | Chromosomal instability in the prediction of pituitary neuroendocrine tumors prognosis |
title_fullStr | Chromosomal instability in the prediction of pituitary neuroendocrine tumors prognosis |
title_full_unstemmed | Chromosomal instability in the prediction of pituitary neuroendocrine tumors prognosis |
title_short | Chromosomal instability in the prediction of pituitary neuroendocrine tumors prognosis |
title_sort | chromosomal instability in the prediction of pituitary neuroendocrine tumors prognosis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653703/ https://www.ncbi.nlm.nih.gov/pubmed/33168091 http://dx.doi.org/10.1186/s40478-020-01067-5 |
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