Please use this identifier to cite or link to this item: https://hdl.handle.net/11000/39026

Integrative Clinical, Radiological, and Molecular Analysis for Predicting Remission and Recurrence of Cushing Disease

Title:
Integrative Clinical, Radiological, and Molecular Analysis for Predicting Remission and Recurrence of Cushing Disease
Authors:
Moreno-Moreno, Paloma
Ibáñez-Costa, Alejandro
Venegas-Moreno, Eva
Fuentes-Fayos, Antonio C
Alhambra-Expósito, Maria R.
Editor:
Oxford
Department:
Departamentos de la UMH::Medicina Clínica
Issue Date:
2022
URI:
https://hdl.handle.net/11000/39026
Abstract:
Context: Adrenocorticotropin (ACTH)-secreting pituitary tumors (ACTHomas) are associated with severe comorbidities and increased mortality. Current treatments mainly focus on remission and prevention of persistent disease and recurrence. However, there are still no useful biomarkers to accurately predict the clinical outcome after surgery, long-term remission, or disease relapse. Objectives: This work aimed to identify clinical, biochemical, and molecular markers for predicting long-term clinical outcome and remission in ACTHomas. Methods: A retrospective multicenter study was performed with 60 ACTHomas patients diagnosed between 2004 and 2018 with at least 2 years’ follow-up. Clinical/biochemical variables were evaluated yearly. Molecular expression profile of the somatostatin/ghrelin/dopamine regulatory systems components and of key pituitary factors and proliferation markers were evaluated in tumor samples after the first surgery. Results: Clinical variables including tumor size, time until diagnosis/first surgery, serum prolactin, and postsurgery cortisol levels were associated with tumor remission and relapsed disease. The molecular markers analyzed were distinctly expressed in ACTHomas, with some components (ie, SSTR1, CRHR1, and MKI67) showing instructive associations with recurrence and/or remission. Notably, an integrative model including selected clinical variables (tumor size/postsurgery serum cortisol), and molecular markers (SSTR1/CRHR1) can accurately predict the clinical evolution and remission of patients with ACTHomas, generating a receiver operating characteristic curve with an area under the curve of 1 (P < .001). Conclusion: This study demonstrates that the combination of a set of clinical and molecular biomarkers in ACTHomas is able to accurately predict the clinical evolution and remission of patients. Consequently, the postsurgery molecular profile represents a valuable tool for clinical evaluation and follow-up of patients with ACTHomas.
Keywords/Subjects:
ACTH-secreting pituitary tumors
Cushing disease
biochemical variables
molecular markers
predictive biomarkers
Knowledge area:
CDU: Ciencias aplicadas: Medicina
Type of document:
info:eu-repo/semantics/article
Access rights:
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI:
https://doi.org/10.1210/clinem/dgac172
Published in:
The Journal of Clinical Endocrinology & Metabolism, 2022, 107, e2938–e2951
Appears in Collections:
Artículos Medicina Clínica



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