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Transcriptomic Classification of Pituitary Neuroendocrine Tumors Causing Acromegaly
Acromegaly results from growth hormone hypersecretion, predominantly caused by a somatotroph pituitary neuroendocrine tumor (PitNET). Acromegaly-causing tumors are histologically diverse. Our aim was to determine transcriptomic profiles of various somatotroph PitNETs and to evaluate clinical implica...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738119/ https://www.ncbi.nlm.nih.gov/pubmed/36497102 http://dx.doi.org/10.3390/cells11233846 |
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author | Rymuza, Julia Kober, Paulina Rusetska, Natalia Mossakowska, Beata J. Maksymowicz, Maria Nyc, Aleksandra Baluszek, Szymon Zieliński, Grzegorz Kunicki, Jacek Bujko, Mateusz |
author_facet | Rymuza, Julia Kober, Paulina Rusetska, Natalia Mossakowska, Beata J. Maksymowicz, Maria Nyc, Aleksandra Baluszek, Szymon Zieliński, Grzegorz Kunicki, Jacek Bujko, Mateusz |
author_sort | Rymuza, Julia |
collection | PubMed |
description | Acromegaly results from growth hormone hypersecretion, predominantly caused by a somatotroph pituitary neuroendocrine tumor (PitNET). Acromegaly-causing tumors are histologically diverse. Our aim was to determine transcriptomic profiles of various somatotroph PitNETs and to evaluate clinical implication of differential gene expression. A total of 48 tumors were subjected to RNA sequencing, while expression of selected genes was assessed in 134 tumors with qRT-PCR. Whole-transcriptome analysis revealed three transcriptomic groups of somatotroph PitNETs. They differ in expression of numerous genes including those involved in growth hormone secretion and known prognostic genes. Transcriptomic subgroups can be distinguished by determining the expression of marker genes. Analysis of the entire cohort of patients confirmed differences between molecular subtypes of tumors. Transcriptomic group 1 includes ~20% of acromegaly patients with GNAS mutations-negative, mainly densely granulated tumors that co-express GIPR and NR5A1 (SF-1). SF-1 expression was verified with immunohistochemistry. Transcriptomic group 2 tumors are the most common (46%) and include mainly GNAS-mutated, densely granulated somatotroph and mixed PitNETs. They have a smaller size and express favorable prognosis-related genes. Transcriptomic group 3 includes predominantly sparsely granulated somatotroph PitNETs with low GNAS mutations frequency causing ~35% of acromegaly. Ghrelin signaling is implicated in their pathogenesis. They have an unfavorable gene expression profile and higher invasive growth rate. |
format | Online Article Text |
id | pubmed-9738119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97381192022-12-11 Transcriptomic Classification of Pituitary Neuroendocrine Tumors Causing Acromegaly Rymuza, Julia Kober, Paulina Rusetska, Natalia Mossakowska, Beata J. Maksymowicz, Maria Nyc, Aleksandra Baluszek, Szymon Zieliński, Grzegorz Kunicki, Jacek Bujko, Mateusz Cells Article Acromegaly results from growth hormone hypersecretion, predominantly caused by a somatotroph pituitary neuroendocrine tumor (PitNET). Acromegaly-causing tumors are histologically diverse. Our aim was to determine transcriptomic profiles of various somatotroph PitNETs and to evaluate clinical implication of differential gene expression. A total of 48 tumors were subjected to RNA sequencing, while expression of selected genes was assessed in 134 tumors with qRT-PCR. Whole-transcriptome analysis revealed three transcriptomic groups of somatotroph PitNETs. They differ in expression of numerous genes including those involved in growth hormone secretion and known prognostic genes. Transcriptomic subgroups can be distinguished by determining the expression of marker genes. Analysis of the entire cohort of patients confirmed differences between molecular subtypes of tumors. Transcriptomic group 1 includes ~20% of acromegaly patients with GNAS mutations-negative, mainly densely granulated tumors that co-express GIPR and NR5A1 (SF-1). SF-1 expression was verified with immunohistochemistry. Transcriptomic group 2 tumors are the most common (46%) and include mainly GNAS-mutated, densely granulated somatotroph and mixed PitNETs. They have a smaller size and express favorable prognosis-related genes. Transcriptomic group 3 includes predominantly sparsely granulated somatotroph PitNETs with low GNAS mutations frequency causing ~35% of acromegaly. Ghrelin signaling is implicated in their pathogenesis. They have an unfavorable gene expression profile and higher invasive growth rate. MDPI 2022-11-30 /pmc/articles/PMC9738119/ /pubmed/36497102 http://dx.doi.org/10.3390/cells11233846 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Rymuza, Julia Kober, Paulina Rusetska, Natalia Mossakowska, Beata J. Maksymowicz, Maria Nyc, Aleksandra Baluszek, Szymon Zieliński, Grzegorz Kunicki, Jacek Bujko, Mateusz Transcriptomic Classification of Pituitary Neuroendocrine Tumors Causing Acromegaly |
title | Transcriptomic Classification of Pituitary Neuroendocrine Tumors Causing Acromegaly |
title_full | Transcriptomic Classification of Pituitary Neuroendocrine Tumors Causing Acromegaly |
title_fullStr | Transcriptomic Classification of Pituitary Neuroendocrine Tumors Causing Acromegaly |
title_full_unstemmed | Transcriptomic Classification of Pituitary Neuroendocrine Tumors Causing Acromegaly |
title_short | Transcriptomic Classification of Pituitary Neuroendocrine Tumors Causing Acromegaly |
title_sort | transcriptomic classification of pituitary neuroendocrine tumors causing acromegaly |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738119/ https://www.ncbi.nlm.nih.gov/pubmed/36497102 http://dx.doi.org/10.3390/cells11233846 |
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