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Predictors of dopamine agonist resistance in prolactinoma patients
BACKGROUND: Surgical resection of prolactinomas resistant to dopamine agonists is frequently incomplete due to fibrotic changes of the tumour under pharmacological therapy. In order to identify a subgroup of patients who may benefit from early surgery, we thought to investigate possible predictive f...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236128/ https://www.ncbi.nlm.nih.gov/pubmed/32429916 http://dx.doi.org/10.1186/s12902-020-0543-4 |
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author | Vermeulen, Elle D’Haens, Jean Stadnik, Tadeusz Unuane, David Barbe, Kurt Van Velthoven, Vera Gläsker, Sven |
author_facet | Vermeulen, Elle D’Haens, Jean Stadnik, Tadeusz Unuane, David Barbe, Kurt Van Velthoven, Vera Gläsker, Sven |
author_sort | Vermeulen, Elle |
collection | PubMed |
description | BACKGROUND: Surgical resection of prolactinomas resistant to dopamine agonists is frequently incomplete due to fibrotic changes of the tumour under pharmacological therapy. In order to identify a subgroup of patients who may benefit from early surgery, we thought to investigate possible predictive factors of pharmacological resistance of prolactinomas to dopamine agonists. METHODS: We retrospectively analyzed a database of a Belgian tertiary reference center for patients with pituitary tumours from 2014 to 2016. The groups of interest were patients with dopamine agonist responsive and resistant prolactinomas. The possible predictive factors, including MRI findings, endocrinological parameters, response of tumour and patient factors for dopamine agonist resistance were investigated. RESULTS: We included 69 patients of whom 52 were women (75,4%) and 17 were men (24,6%). Rate of dopamine agonist resistance was 15.9%. We identified four significant predictors of dopamine agonist resistance: male gender, a large tumour volume, prolonged time to prolactin normalization and presence of a cystic, hemorrhagic and/or necrotic component. In addition, symptoms due to mass effect, high baseline prolactin level and a high contrast capture on MRI are factors that can be taken into consideration. CONCLUSION: We identified predictive factors for pharmacological resistance and developed a scoring system for patient specific prediction of resistance to dopamine agonists. This scoring system may have impact on the timing and decision of surgery in prolactinoma patients after further prospective evaluation. |
format | Online Article Text |
id | pubmed-7236128 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72361282020-05-27 Predictors of dopamine agonist resistance in prolactinoma patients Vermeulen, Elle D’Haens, Jean Stadnik, Tadeusz Unuane, David Barbe, Kurt Van Velthoven, Vera Gläsker, Sven BMC Endocr Disord Research Article BACKGROUND: Surgical resection of prolactinomas resistant to dopamine agonists is frequently incomplete due to fibrotic changes of the tumour under pharmacological therapy. In order to identify a subgroup of patients who may benefit from early surgery, we thought to investigate possible predictive factors of pharmacological resistance of prolactinomas to dopamine agonists. METHODS: We retrospectively analyzed a database of a Belgian tertiary reference center for patients with pituitary tumours from 2014 to 2016. The groups of interest were patients with dopamine agonist responsive and resistant prolactinomas. The possible predictive factors, including MRI findings, endocrinological parameters, response of tumour and patient factors for dopamine agonist resistance were investigated. RESULTS: We included 69 patients of whom 52 were women (75,4%) and 17 were men (24,6%). Rate of dopamine agonist resistance was 15.9%. We identified four significant predictors of dopamine agonist resistance: male gender, a large tumour volume, prolonged time to prolactin normalization and presence of a cystic, hemorrhagic and/or necrotic component. In addition, symptoms due to mass effect, high baseline prolactin level and a high contrast capture on MRI are factors that can be taken into consideration. CONCLUSION: We identified predictive factors for pharmacological resistance and developed a scoring system for patient specific prediction of resistance to dopamine agonists. This scoring system may have impact on the timing and decision of surgery in prolactinoma patients after further prospective evaluation. BioMed Central 2020-05-19 /pmc/articles/PMC7236128/ /pubmed/32429916 http://dx.doi.org/10.1186/s12902-020-0543-4 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 Article Vermeulen, Elle D’Haens, Jean Stadnik, Tadeusz Unuane, David Barbe, Kurt Van Velthoven, Vera Gläsker, Sven Predictors of dopamine agonist resistance in prolactinoma patients |
title | Predictors of dopamine agonist resistance in prolactinoma patients |
title_full | Predictors of dopamine agonist resistance in prolactinoma patients |
title_fullStr | Predictors of dopamine agonist resistance in prolactinoma patients |
title_full_unstemmed | Predictors of dopamine agonist resistance in prolactinoma patients |
title_short | Predictors of dopamine agonist resistance in prolactinoma patients |
title_sort | predictors of dopamine agonist resistance in prolactinoma patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236128/ https://www.ncbi.nlm.nih.gov/pubmed/32429916 http://dx.doi.org/10.1186/s12902-020-0543-4 |
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