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Predictors of biochemical response to somatostatin receptor ligands in acromegaly.
Marazuela, Mónica; Martínez-Hernandez, Rebeca; Marques-Pamies, Montserrat; Biagetti, Betina; Araujo-Castro, Marta; Puig-Domingo, Manel.
Afiliação
  • Marazuela M; Department of Endocrinology and Nutrition Hospital Universitario La Princesa, Universidad Autónoma de Madrid,Instituto de Investigación Princesa, and Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER GCV14/ER/12), Madrid, Spain. Electronic address: monica.marazuela@uam.es.
  • Martínez-Hernandez R; Instituto de Investigación Princesa, Madrid, Spain.
  • Marques-Pamies M; Endocrinology Unit, Hospital Municipal de Badalona, Spain.
  • Biagetti B; Endocrinology & Nutrition Service, Vall d'Hebron University Hospital and Vall d'Hebron Research Institute (VHIR), Department of Medicine, Autonomous University of Barcelona, Reference Networks (ERN), 08035 Barcelona, Spain.
  • Araujo-Castro M; Endocrinology & Nutrition Department. Hospital Universitario Ramón y Cajal, Spain & Instituto de Investigación Biomédica Ramón y Cajal (IRYCIS), Madrid, Spain.
  • Puig-Domingo M; Department of Endocrinology and Nutrition, Department of Medicine, Germans Trias i Pujol Research Institute and Hospital, Universitat Autònoma de Barcelona, Spain and Centro de Investigación Biomédica en Red de Enfermedades Raras CIBERER G747, Badalona, Spain.
Best Pract Res Clin Endocrinol Metab ; 38(4): 101893, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38575404
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acromegalia / Somatostatina / Receptores de Somatostatina Limite: Humans Idioma: En Revista: Best Pract Res Clin Endocrinol Metab Assunto da revista: ENDOCRINOLOGIA / METABOLISMO Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acromegalia / Somatostatina / Receptores de Somatostatina Limite: Humans Idioma: En Revista: Best Pract Res Clin Endocrinol Metab Assunto da revista: ENDOCRINOLOGIA / METABOLISMO Ano de publicação: 2024 Tipo de documento: Article