Predictors of biochemical response to somatostatin receptor ligands in acromegaly

Although predictors of response to first-generation somatostatin receptor ligands (fg-SRLs), and to a lesser extent to pasireotide, have been studied in acromegaly for many years, their use is still not recommended in clinical guidelines. Is there insufficient evidence to use them? Numerous biomarke...

ver descrição completa

Detalhes bibliográficos
Autores: Marazuela Azpiroz, Mónica, Martínez Hernández, Rebeca, Marques-Pamies, Montserrat, Biagetti, Betina, Araujo-Castro, Marta, Puig-Domingo, Manel
Formato: artículo
Fecha de publicación:2024
País:España
Recursos:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/712596
Acesso em linha:http://hdl.handle.net/10486/712596
https://dx.doi.org/10.1016/j.beem.2024.101893
Access Level:acceso abierto
Palavra-chave:Acromegaly
First Generation Somatostatin Receptor Ligands
Medical Treatment
Predictors
Medicina
id ES_4d47fa25af0e1bb4e017358ce61b97c4
oai_identifier_str oai:repositorio.uam.es:10486/712596
network_acronym_str ES
network_name_str España
repository_id_str
spelling Predictors of biochemical response to somatostatin receptor ligands in acromegalyMarazuela Azpiroz, MónicaMartínez Hernández, RebecaMarques-Pamies, MontserratBiagetti, BetinaAraujo-Castro, MartaPuig-Domingo, ManelAcromegalyFirst Generation Somatostatin Receptor LigandsMedical TreatmentPredictorsMedicinaAlthough predictors of response to first-generation somatostatin receptor ligands (fg-SRLs), and to a lesser extent to pasireotide, have been studied in acromegaly for many years, their use is still not recommended in clinical guidelines. Is there insufficient evidence to use them? Numerous biomarkers including various clinical, functional, radiological and molecular markers have been identified. The first ones are applicable pre-surgery, while the molecular predictors are utilized for patients not cured after surgery. In this regard, factors predicting a good response to fg-SRLs are specifically: low basal GH, a low GH nadir in the acute octreotide test, T2 MRI hypointensity, a densely granulated pattern, high immunohistochemistry staining for somatostatin receptor 2 (SSTR2), and E-cadherin. However, there is still a lack of consensus regarding which of these biomarkers is more useful or how to integrate them into clinical practice. With classical statistical methods, it is complex to define reliable and generalizable cut-off values for a single biomarker. The potential solution to the limitations of traditional methods involves combining systems biology with artificial intelligence, which is currently providing answers to such long-standing questions that may eventually be finally included into the clinical guidelines and make personalized medicine a reality. The aim of this review is to describe the current knowledge of the main fg-SRLs and pasireotide response predictors, discuss their current usefulness, and point to future directions in the research of this fieldThis research is supported by grants from the Instituto Carlos III (grants PMP15/00027, co-funded by FEDER; PMP22/00021, funded by the European Union -NextGeneration EU; and FIS PI22/01364 to MPD and IS PI22/01404 and IPI/2022/N5 (funded by Sociedad de Endocrinología, Nutrición y Diabetes de la Comunidad de Madrid-SENDIMAD) to MM and RMH , co-funded by the European Union; to MPD)ElsevierDepartamento de MedicinaFacultad de Medicina20242024-03-19research articlehttp://purl.org/coar/resource_type/c_2df8fbb1VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/712596https://dx.doi.org/10.1016/j.beem.2024.101893reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/7125962026-06-23T12:46:27Z
dc.title.none.fl_str_mv Predictors of biochemical response to somatostatin receptor ligands in acromegaly
title Predictors of biochemical response to somatostatin receptor ligands in acromegaly
spellingShingle Predictors of biochemical response to somatostatin receptor ligands in acromegaly
Marazuela Azpiroz, Mónica
Acromegaly
First Generation Somatostatin Receptor Ligands
Medical Treatment
Predictors
Medicina
title_short Predictors of biochemical response to somatostatin receptor ligands in acromegaly
title_full Predictors of biochemical response to somatostatin receptor ligands in acromegaly
title_fullStr Predictors of biochemical response to somatostatin receptor ligands in acromegaly
title_full_unstemmed Predictors of biochemical response to somatostatin receptor ligands in acromegaly
title_sort Predictors of biochemical response to somatostatin receptor ligands in acromegaly
dc.creator.none.fl_str_mv Marazuela Azpiroz, Mónica
Martínez Hernández, Rebeca
Marques-Pamies, Montserrat
Biagetti, Betina
Araujo-Castro, Marta
Puig-Domingo, Manel
author Marazuela Azpiroz, Mónica
author_facet Marazuela Azpiroz, Mónica
Martínez Hernández, Rebeca
Marques-Pamies, Montserrat
Biagetti, Betina
Araujo-Castro, Marta
Puig-Domingo, Manel
author_role author
author2 Martínez Hernández, Rebeca
Marques-Pamies, Montserrat
Biagetti, Betina
Araujo-Castro, Marta
Puig-Domingo, Manel
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Medicina
Facultad de Medicina
dc.subject.none.fl_str_mv Acromegaly
First Generation Somatostatin Receptor Ligands
Medical Treatment
Predictors
Medicina
topic Acromegaly
First Generation Somatostatin Receptor Ligands
Medical Treatment
Predictors
Medicina
description Although predictors of response to first-generation somatostatin receptor ligands (fg-SRLs), and to a lesser extent to pasireotide, have been studied in acromegaly for many years, their use is still not recommended in clinical guidelines. Is there insufficient evidence to use them? Numerous biomarkers including various clinical, functional, radiological and molecular markers have been identified. The first ones are applicable pre-surgery, while the molecular predictors are utilized for patients not cured after surgery. In this regard, factors predicting a good response to fg-SRLs are specifically: low basal GH, a low GH nadir in the acute octreotide test, T2 MRI hypointensity, a densely granulated pattern, high immunohistochemistry staining for somatostatin receptor 2 (SSTR2), and E-cadherin. However, there is still a lack of consensus regarding which of these biomarkers is more useful or how to integrate them into clinical practice. With classical statistical methods, it is complex to define reliable and generalizable cut-off values for a single biomarker. The potential solution to the limitations of traditional methods involves combining systems biology with artificial intelligence, which is currently providing answers to such long-standing questions that may eventually be finally included into the clinical guidelines and make personalized medicine a reality. The aim of this review is to describe the current knowledge of the main fg-SRLs and pasireotide response predictors, discuss their current usefulness, and point to future directions in the research of this field
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-03-19
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10486/712596
https://dx.doi.org/10.1016/j.beem.2024.101893
url http://hdl.handle.net/10486/712596
https://dx.doi.org/10.1016/j.beem.2024.101893
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:Universidad Autónoma de Madrid
instname_str Universidad Autónoma de Madrid
reponame_str Biblos-e Archivo. Repositorio Institucional de la UAM
collection Biblos-e Archivo. Repositorio Institucional de la UAM
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869407681678147584
score 15,301629

Registos relacionados