4.7 Article

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

期刊

JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
卷 107, 期 7, 页码 E2938-E2951

出版社

ENDOCRINE SOC
DOI: 10.1210/clinem/dgac172

关键词

ACTH-secreting pituitary tumors; Cushing disease; biochemical variables; molecular markers; predictive biomarkers; remission; relapsed disease

资金

  1. Junta de Andalucia [P20_00442, PEER-0048-2020, A-0006-2017, A-0055-2018, C-0015-2014, DOC_01584, BIO-0139]
  2. Ministry of Science and Innovation [PID2019-105564RB-I00, PID2019-105201RB-I00]
  3. European Union (ERDF/ESF, Investing in your future) [PI13/02043, PI16/00175, PI21/01012, CD19/00255]
  4. Spanish Ministry of Universities [FPU16-05059]
  5. CIBERobn
  6. Instituto de Salud Carlos III

向作者/读者索取更多资源

In this study, clinical, biochemical, and molecular markers were evaluated to predict the long-term clinical outcome and remission in ACTHomas patients. The results showed that certain clinical variables and molecular markers were associated with tumor remission and relapsed disease. An integrative model combining selected clinical variables and molecular markers accurately predicted the clinical evolution and remission of patients with ACTHomas. These findings highlight the importance of using a combination of clinical and molecular biomarkers in the evaluation and follow-up of ACTHomas patients.
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.

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