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Bhat SZ, Salvatori R. Current role of pasireotide in the treatment of acromegaly. Best Pract Res Clin Endocrinol Metab 2024; 38:101875. [PMID: 38290866 DOI: 10.1016/j.beem.2024.101875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
"First-generation" somatostatin receptor agonists (SSTRAs) octreotide and lanreotide are the most commonly used first-line pharmacological therapy for patients with acromegaly. A subset of patients respond only partially or not at all to the first-generation SSTRA, necessitating the use of additional pharmacological agents or other modes of therapy. Pasireotide is a "second-generation" SSTRA that has multi-receptor activity. Prospective studies have shown promise in the use of pasireotide in patients with poor response to first-generation SSTRA. Here we elucidate the molecular pathways of resistance to first-generation SSTRA, the mechanism of action, pre-clinical and clinical evidence of the use of pasireotide in patients having incomplete / lack of response to first-generation SSTRA. We also discuss the clinical, pathological, and radiological markers predicting response to pasireotide, and the difference in side-effect profiles of pasireotide, compared to first-generation SSTRA.
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Affiliation(s)
- Salman Zahoor Bhat
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Tidal Health Endocrinology, Salisbury, MD, USA.
| | - Roberto Salvatori
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Wildemberg LE, Fialho C, Gadelha MR. Treatment of acromegaly with the nonpeptide, highly selective somatostatin receptor type 2 agonist paltusotine. Best Pract Res Clin Endocrinol Metab 2024; 38:101906. [PMID: 38845246 DOI: 10.1016/j.beem.2024.101906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/22/2024]
Abstract
Injectable first-generation somatostatin receptor ligands (fg-SRLs) are the standard of care of medical treatment for acromegaly. While fg-SRLs control acromegaly in up to 50 % of patients, they may lead to bothersome injection pain and site reactions. Paltusotine is an investigational, highly selective somatostatin receptor subtype 2 agonist, which is administered orally once a day. To date, phase 2 and 3 clinical trials suggest paltusotine treatment can achieve biochemical and symptom control in acromegaly, with a safety profile comparable to those of the fg-SRLs. Since paltusotine is a once-daily oral drug, it may represent a future treatment option for addressing patient preference or improving quality of life.
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Affiliation(s)
- Luiz Eduardo Wildemberg
- Neuroendocrine Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
| | - Christhiane Fialho
- Neuroendocrine Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
| | - Mônica R Gadelha
- Neuroendocrine Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil; Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho - Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
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Marazuela M, Martínez-Hernandez R, Marques-Pamies M, Biagetti B, Araujo-Castro M, Puig-Domingo M. Predictors of biochemical response to somatostatin receptor ligands in acromegaly. Best Pract Res Clin Endocrinol Metab 2024; 38:101893. [PMID: 38575404 DOI: 10.1016/j.beem.2024.101893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/06/2024]
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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Affiliation(s)
- Mónica Marazuela
- 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.
| | | | | | - Betina Biagetti
- 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
| | - Marta Araujo-Castro
- Endocrinology & Nutrition Department. Hospital Universitario Ramón y Cajal, Spain & Instituto de Investigación Biomédica Ramón y Cajal (IRYCIS), Madrid, Spain
| | - Manel Puig-Domingo
- 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
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Luo M, Yu J, Tang R. Immunological signatures and predictive biomarkers for first-generation somatostatin receptor ligand resistance in Acromegaly. J Neurooncol 2024; 167:415-425. [PMID: 38441839 DOI: 10.1007/s11060-024-04620-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 02/23/2024] [Indexed: 05/16/2024]
Abstract
PURPOSE Predicting resistance to first-generation Somatostatin Receptor Ligands (fg-SRL) in Acromegaly patients remains an ongong challenge. Tumor-associated immune components participate in various pathological processes, including drug-resistance. We aimed to identify the immune components involved in resistance of fg-SRL, and to investigate biomarkers that can be targeted to treat those drug-resistant Acromegaly. METHODS We conducted a retrospective study involving 35 Acromegaly patients with somatotropinomas treated postoperatively with fg-SRL. Gathering clinicopathological data, SSTR2 expression, and immunological profiles, we utilized univariate, binary logistic regression, and ROC analyses to assess their predictive roles in fg-SRL resistance. Spearman correlation analysis further examined interactions among interested characteristics. RESULTS 19 patients (54.29%) exhibited resistance to postoperative fg-SRL. GH level at diagnosis, preoperative tumor volume, T2WI-MRI intensity, granularity, PD-L1, SSTR2, and CD8 + T cell infiltration showed association with clinical outcomes of fg-SRL. Notably, T2WI-MRI hyperintensity, PD-L1-IRS > 7, CD8 + T cell infiltration < 14.8/HPF, and SSTR2-IRS < 5.4 emerged as reliable predictors for fg-SRL resistance. Correlation analysis highlighted a negative relationship between PD-L1 expression and CD8 + T cell infiltration, while showcasing a positive correlation with preoperative tumor volume of somatotropinomas. Additionally, 5 patients with fg-SRL resistance underwent re-operation were involved. Following fg-SRL treatment, significant increases in PD-L1 and SSTR5 expression were observed, while SSTR2 expression decreased in somatotropinoma. CONCLUSION PD-L1 expression and CD8 + T cell infiltration, either independently or combined with SSTR2 expression and T2WI-MRI intensity, could form a predictive model guiding clinical decisions on fg-SRL employment. Furthermore, targeting PD-L1 through immunotherapy and embracing second-generations of SRL with higher affinity to SSTR5 represent promising strategies to tackle fg-SRL resistance in somatotropinomas.
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Affiliation(s)
- Mei Luo
- Department of Neurosurgery, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China
- Department of Neurosurgery and Pituitary Tumor Center, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Jiangfan Yu
- Department of Pediatric Dermatology, Dermatology Hospital of Southern Medical University, 510091, Guangzhou, China
| | - Rui Tang
- Department of Rheumatology and Immunology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
- Clinical Medical Research Center for Systemic Autoimmune Diseases, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
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Chiloiro S, Moroni R, Giampietro A, Angelini F, Gessi M, Lauretti L, Mattogno PP, Calandrelli R, Tartaglione T, Carlino A, Gaudino S, Olivi A, Rindi G, De Marinis L, Pontecorvi A, Doglietto F, Bianchi A. The Multibiomarker Acro-TIME Score Predicts fg-SRLs Response: Preliminary Results of a Retrospective Acromegaly Cohort. J Clin Endocrinol Metab 2024; 109:1341-1350. [PMID: 37975821 DOI: 10.1210/clinem/dgad673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 10/15/2023] [Accepted: 11/15/2023] [Indexed: 11/19/2023]
Abstract
CONTEXT The prompt control of acromegaly is a primary treatment aim for reducing related disease morbidity and mortality. First-generation somatostatin receptor ligands (fg-SRLs) are the cornerstone of medical therapies. A non-negligible number of patients do not respond to this treatment. Several predictors of fg-SRL response were identified, but a comprehensive prognostic model is lacking. OBJECTIVE We aimed to design a prognostic model based on clinical and biochemical parameters, and pathological features, including data on immune tumor microenvironment. METHODS A retrospective, monocenter, cohort study was performed on 67 medically naïve patients with acromegaly. Fifteen clinical, pathological, and radiological features were collected and analyzed as independent risk factors of fg-SRLs response, using univariable and multivariable logistic regression analyses. A stepwise selection method was applied to identify the final regression model. A nomogram was then obtained. RESULTS Thirty-seven patients were fg-SRLs responders. An increased risk to poor response to fg-SRLs were observed in somatotropinomas with absent/cytoplasmatic SSTR2 expression (OR 5.493 95% CI 1.19-25.16, P = .028), with low CD68+/CD8+ ratio (OR 1.162, 95% CI 1.01-1.33, P = .032). Radical surgical resection was associated with a low risk of poor fg-SRLs response (OR 0.106, 95% CI 0.025-0.447 P = .002). The nomogram obtained from the stepwise regression model was based on the CD68+/CD8+ ratio, SSTR2 score, and the persistence of postsurgery residual tumor and was able to predict the response to fg-SRLs with good accuracy (area under the curve 0.85). CONCLUSION Although our predictive model should be validated in prospective studies, our data suggest that this nomogram may represent an easy to use tool for predicting the fg-SRL outcome early.
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Affiliation(s)
- Sabrina Chiloiro
- UOC Endocrinology and Diabetology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli, 00168 Roma, Italy
- Department of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, Largo A. Gemelli, 00168 Roma, Italy
| | | | - Antonella Giampietro
- UOC Endocrinology and Diabetology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli, 00168 Roma, Italy
- Department of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, Largo A. Gemelli, 00168 Roma, Italy
| | - Flavia Angelini
- Department of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, Largo A. Gemelli, 00168 Roma, Italy
| | - Marco Gessi
- Department of Woman and Child Health Sciences and Public Health, Anatomic Pathology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli, 00168 Roma, Italy
| | - Liverana Lauretti
- Neurosurgery Unit, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Largo A. Gemelli, 00168 Roma, Italy
| | - Pier Paolo Mattogno
- Neurosurgery Unit, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Largo A. Gemelli, 00168 Roma, Italy
| | - Rosalinda Calandrelli
- UOSD Neuroradiologia Diagnostica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del S. Cuore, Largo A. Gemelli, 8, 00168 Rome, Italy
| | - Tommaso Tartaglione
- UOSD Neuroradiologia Diagnostica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del S. Cuore, Largo A. Gemelli, 8, 00168 Rome, Italy
| | - Angela Carlino
- Department of Woman and Child Health Sciences and Public Health, Anatomic Pathology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli, 00168 Roma, Italy
| | - Simona Gaudino
- UOSD Neuroradiologia Diagnostica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del S. Cuore, Largo A. Gemelli, 8, 00168 Rome, Italy
| | - Alessandro Olivi
- Neurosurgery Unit, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Largo A. Gemelli, 00168 Roma, Italy
| | - Guido Rindi
- Department of Woman and Child Health Sciences and Public Health, Anatomic Pathology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli, 00168 Roma, Italy
| | - Laura De Marinis
- UOC Endocrinology and Diabetology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli, 00168 Roma, Italy
- Department of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, Largo A. Gemelli, 00168 Roma, Italy
| | - Alfredo Pontecorvi
- UOC Endocrinology and Diabetology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli, 00168 Roma, Italy
- Department of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, Largo A. Gemelli, 00168 Roma, Italy
| | - Francesco Doglietto
- Neurosurgery Unit, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Largo A. Gemelli, 00168 Roma, Italy
| | - Antonio Bianchi
- UOC Endocrinology and Diabetology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli, 00168 Roma, Italy
- Department of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, Largo A. Gemelli, 00168 Roma, Italy
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Feldt-Rasmussen U, Bolanowski M, Zhang SL, Yu Y, Witek P, Kalra P, Kietsiriroje N, Piacentini A, Pedroncelli AM, Samson SL. Predictive factors and the management of hyperglycemia in patients with acromegaly and Cushing's disease receiving pasireotide treatment: post hoc analyses from the SOM230B2219 study. Front Endocrinol (Lausanne) 2024; 15:1250822. [PMID: 38577574 PMCID: PMC10993249 DOI: 10.3389/fendo.2024.1250822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 02/12/2024] [Indexed: 04/06/2024] Open
Abstract
Introduction Pasireotide, a somatostatin receptor ligand, is approved for treating acromegaly and Cushing's disease (CD). Hyperglycemia during treatment can occur because of the drug's mechanism of action, although treatment discontinuation is rarely required. The prospective, randomized, Phase IV SOM230B2219 (NCT02060383) trial was designed to assess optimal management of pasireotide-associated hyperglycemia. Here, we investigated predictive factors for requiring antihyperglycemic medication during pasireotide treatment. Methods Participants with acromegaly or CD initiated long-acting pasireotide 40 mg/28 days intramuscularly (acromegaly) or pasireotide 600 μg subcutaneously twice daily during pre-randomization (≤16 weeks). Those who did not need antihyperglycemic medication, were managed with metformin, or received insulin from baseline entered an observational arm ending at 16 weeks. Those who required additional/alternative antihyperglycemic medication to metformin were randomized to incretin-based therapy or insulin for an additional 16 weeks. Logistic-regression analyses evaluated quantitative and qualitative factors for requiring antihyperglycemic medication during pre-randomization. Results Of 190 participants with acromegaly and 59 with CD, 88 and 15, respectively, did not need antihyperglycemic medication; most were aged <40 years (acromegaly 62.5%, CD 86.7%), with baseline glycated hemoglobin (HbA1c) <6.5% (<48 mmol/mol; acromegaly 98.9%, CD 100%) and fasting plasma glucose (FPG) <100 mg/dL (<5.6 mmol/L; acromegaly 76.1%, CD 100%). By logistic regression, increasing baseline HbA1c (odds ratio [OR] 3.6; P=0.0162) and FPG (OR 1.0; P=0.0472) and history of diabetes/pre-diabetes (OR 3.0; P=0.0221) predicted receipt of antihyperglycemic medication in acromegaly participants; increasing baseline HbA1c (OR 12.6; P=0.0276) was also predictive in CD participants. Investigator-reported hyperglycemia-related adverse events were recorded in 47.9% and 54.2% of acromegaly and CD participants, respectively, mainly those with diabetes/pre-diabetes. Conclusion Increasing age, HbA1c, and FPG and pre-diabetes/diabetes were associated with increased likelihood of requiring antihyperglycemic medication during pasireotide treatment. These risk factors may be used to identify those who need more vigilant monitoring to optimize outcomes during pasireotide treatment.
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Affiliation(s)
- Ulla Feldt-Rasmussen
- Department of Medical Endocrinology and Metabolism, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Institute of Clinical Medicine, Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark
| | - Marek Bolanowski
- Department of Endocrinology, Diabetes and Isotope Therapy, Wroclaw Medical University, Wroclaw, Poland
| | - Shao-Ling Zhang
- Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Yerong Yu
- West China Hospital, Sichuan University, Chengdu, China
| | - Przemysław Witek
- Department of Internal Medicine, Endocrinology and Diabetes, Medical University of Warsaw, Warsaw, Poland
| | - Pramila Kalra
- Department of Endocrinology, MS Ramaiah Medical College and Hospitals, Bengaluru, India
| | - Noppadol Kietsiriroje
- Endocrinology and Metabolism Unit, Internal Medicine Department, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | | | | | - Susan L. Samson
- Departments of Medicine and Neurologic Surgery, Mayo Clinic, Jacksonville, FL, United States
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Kasuki L, Lamback E, Antunes X, Gadelha MR. Biomarkers of response to treatment in acromegaly. Expert Rev Endocrinol Metab 2024; 19:71-80. [PMID: 38078447 DOI: 10.1080/17446651.2023.2293107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 12/06/2023] [Indexed: 01/03/2024]
Abstract
INTRODUCTION Medical treatment of acromegaly is based in a `trial and error` approach. First-generation somatostatin receptor ligands (fg-SRL) are prescribed as first-line medical therapy to the vast majority of patients, despite lack of disease control in approximately 60% of patients. However, other drugs used in acromegaly treatment are available (cabergoline, pasireotide and pegvisomant). AREAS COVERED In this article, we review and discuss the biomarkers of response to medical treatment in acromegaly. EXPERT OPINION Biomarkers for fg-SRL that can already be applied in clinical practice are: gender, age, pretreatment GH and IGF-I levels, cytokeratin granulation pattern, and the expression of somatostatin receptor type 2. Using biomarkers of response could guide treatment towards precision medicine with greater efficacy and lower costs.
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Affiliation(s)
- Leandro Kasuki
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Neuroendocrinology Division, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
- Endocrinology Division, Hospital Federal de Bonsucesso, Rio de Janeiro, Brazil
| | - Elisa Lamback
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Neuroendocrinology Division, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
| | - Ximene Antunes
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Mônica R Gadelha
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Neuroendocrinology Division, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
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Marques-Pamies M, Gil J, Jordà M, Puig-Domingo M. Predictors of Response to Treatment with First-Generation Somatostatin Receptor Ligands in Patients with Acromegaly. Arch Med Res 2023; 54:102924. [PMID: 38042683 DOI: 10.1016/j.arcmed.2023.102924] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 10/27/2023] [Accepted: 11/17/2023] [Indexed: 12/04/2023]
Abstract
BACKGROUND AND AIMS Predictors of first-generation somatostatin receptor ligands (fgSRLs) response in acromegaly have been studied for over 30 years, but they are still not recommended in clinical guidelines. Is there not enough evidence to support their use? This systematic review aims to describe the current knowledge of the main predictors of fgSRLs response and discuss their current usefulness, as well as future research directions. METHODS A systematic search was performed in the Scopus and PubMed databases for functional, imaging, and molecular predictive factors. RESULTS A total of 282 articles were detected, of which 64 were included. Most of them are retrospective studies performed between 1990 and 2023 focused on the predictive response to fgSRLs in acromegaly. The usefulness of the predictive factors is confirmed, with good response identified by the most replicated factors, specifically low GH nadir in the acute octreotide test, T2 MRI hypointensity, high Somatostatin receptor 2 (SSTR2) and E-cadherin expression, and a densely granulated pattern. Even if these biomarkers are interrelated, the association is quite heterogeneous. With classical statistical methods, it is complex to define reliable and generalizable cut-off values worth recommending in clinical guidelines. Machine-learning models involving omics are a promising approach to achieve the highest accuracy values to date. CONCLUSIONS This survey confirms a sufficiently robust level of evidence to apply knowledge of predictive factors for greater efficiency in the treatment decision process. The irruption of artificial intelligence in this field is providing definitive answers to such long-standing questions that may change clinical guidelines and make personalized medicine a reality.
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Affiliation(s)
| | - Joan Gil
- Endocrine Research Unit, Germans Trias i Pujol Research Institute, Badalona, Spain; Network Research Center for Rare Diseases, CIBERER, Unit 747, Instituto de Salud Carlos III, Madrid, Spain; Department of Endocrinology, Research Center for Pituitary Diseases, Hospital Sant Pau, IIB-SPau, Barcelona, Spain
| | - Mireia Jordà
- Endocrine Research Unit, Germans Trias i Pujol Research Institute, Badalona, Spain
| | - Manel Puig-Domingo
- Endocrine Research Unit, Germans Trias i Pujol Research Institute, Badalona, Spain; Network Research Center for Rare Diseases, CIBERER, Unit 747, Instituto de Salud Carlos III, Madrid, Spain; Department of Endocrinology and Nutrition, Germans Trias i Pujol University Hospital, Badalona, Spain; Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.
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9
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Gadelha M, Marques NV, Fialho C, Scaf C, Lamback E, Antunes X, Santos E, Magalhães J, Wildemberg LE. Long-term Efficacy and Safety of Pasireotide in Patients With Acromegaly: 14 Years of Single-Center Real-World Experience. J Clin Endocrinol Metab 2023; 108:e1571-e1579. [PMID: 37357993 PMCID: PMC10655523 DOI: 10.1210/clinem/dgad378] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 05/31/2023] [Accepted: 06/22/2023] [Indexed: 06/27/2023]
Abstract
CONTEXT Acromegaly is a rare, chronic, debilitating disorder caused by prolonged hypersecretion of growth hormone (GH) and overproduction of insulin-like growth factor I (IGF-I). Medical therapies, including the somatostatin receptor ligand (SRL) pasireotide, are frequently used to restore biochemical control. OBJECTIVE As patients often receive therapy over prolonged periods, long-term data from real-life settings are needed. METHODS A retrospective analysis was performed using a prospectively maintained database of all patients with acromegaly from our primary care center who were enrolled in clinical studies with pasireotide (first visit November 2008). The main outcome measures were safety and biochemical control (age-adjusted IGF-I ≤ upper limit of normal). RESULTS Patients (n = 50) entered 4 parental studies and 30 continued in the rollover; at data cutoff (June 2022), 27 were still receiving pasireotide. Overall, median (range) exposure was 58 (3-137) months. Normal IGF-I was achieved in 54%, and acromegaly symptoms and quality of life were improved with treatment. No predictors of pasireotide response were identified; however, controlled patients had smaller tumors and lower GH at baseline. Tumor volume reduction occurred in 63% of evaluable patients (n = 10/16). Most patients presented hyperglycemic events, including 63.2% of patients with normal glucose before treatment. Older patients and those with higher IGF-I, glucose, and HbA1c at baseline had higher glucose and HbA1c during pasireotide treatment. CONCLUSION Pasireotide provided clinical benefit and was well tolerated for more than 11 years of treatment in acromegaly patients, most of whom were resistant to first-generation SRLs.
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Affiliation(s)
- Mônica Gadelha
- Neuroendocrinology Research Center, Endocrinology Section, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-913, Brazil
| | - Nelma Verônica Marques
- Neuroendocrinology Research Center, Endocrinology Section, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-913, Brazil
| | - Christhiane Fialho
- Neuroendocrinology Research Center, Endocrinology Section, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-913, Brazil
| | - Cristiane Scaf
- Neuroendocrinology Research Center, Endocrinology Section, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-913, Brazil
| | - Elisa Lamback
- Neuroendocrinology Research Center, Endocrinology Section, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-913, Brazil
| | - Ximene Antunes
- Neuroendocrinology Research Center, Endocrinology Section, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-913, Brazil
| | - Erica Santos
- Neuroendocrinology Research Center, Endocrinology Section, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-913, Brazil
| | - Jaqueline Magalhães
- Neuroendocrinology Research Center, Endocrinology Section, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-913, Brazil
| | - Luiz Eduardo Wildemberg
- Neuroendocrinology Research Center, Endocrinology Section, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-913, Brazil
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10
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Marques-Pamies M, Gil J, Valassi E, Hernández M, Biagetti B, Giménez-Palop O, Martínez S, Carrato C, Pons L, Villar-Taibo R, Araujo-Castro M, Blanco C, Simón I, Simó-Servat A, Xifra G, Vázquez F, Pavón I, García-Centeno R, Zavala R, Hanzu FA, Mora M, Aulinas A, Vilarrasa N, Librizzi S, Calatayud M, de Miguel P, Alvarez-Escola C, Picó A, Sampedro M, Salinas I, Fajardo-Montañana C, Cámara R, Bernabéu I, Jordà M, Webb SM, Marazuela M, Puig-Domingo M. Revisiting the usefulness of the short acute octreotide test to predict treatment outcomes in acromegaly. Front Endocrinol (Lausanne) 2023; 14:1269787. [PMID: 38027102 PMCID: PMC10654626 DOI: 10.3389/fendo.2023.1269787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 10/11/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction We previously described that a short version of the acute octreotide test (sAOT) can predict the response to first-generation somatostatin receptor ligands (SRLs) in patients with acromegaly. We have prospectively reassessed the sAOT in patients from the ACROFAST study using current ultra-sensitive GH assays. We also studied the correlation of sAOT with tumor expression of E-cadherin and somatostatin receptor 2 (SSTR2) . Methods A total of 47 patients treated with SRLs for 6 months were evaluated with the sAOT at diagnosis and correlated with SRLs' response. Those patients whose IGF1 decreased to <3SDS from normal value were considered responders and those whose IGF1 was ≥3SDS, were considered non-responders. The 2 hours GH value (GH2h) after s.c. administration of 100 mcg of octreotide was used to define predictive cutoffs. E-cadherin and SSTR2 immunostaining in somatotropinoma tissue were investigated in 24/47 and 18/47 patients, respectively. Results In all, 30 patients were responders and 17 were non-responders. GH2h was 0.68 (0.25-1.98) ng/mL in responders vs 2.35 (1.59-9.37) ng/mL in non-responders (p<0.001). GH2h = 1.4ng/mL showed the highest ability to identify responders (accuracy of 81%, sensitivity of 73.3%, and specificity of 94.1%). GH2h = 4.3ng/mL was the best cutoff for non-response prediction (accuracy of 74%, sensitivity of 35.3%, and specificity of 96.7%). Patients with E-cadherin-positive tumors showed a lower GH2h than those with E-cadherin-negative tumors [0.9 (0.3-2.1) vs 3.3 (1.5-12.1) ng/mL; p<0.01], and patients with positive E-cadherin presented a higher score of SSTR2 (7.5 ± 4.2 vs 3.3 ± 2.1; p=0.01). Conclusion The sAOT is a good predictor tool for assessing response to SRLs and correlates with tumor E-cadherin and SSTR2 expression. Thus, it can be useful in clinical practice for therapeutic decision-making in patients with acromegaly.
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Affiliation(s)
| | - Joan Gil
- Endocrine Research Unit, Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBER-ER, Unidad 747), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
| | - Elena Valassi
- Endocrine Research Unit, Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBER-ER, Unidad 747), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
- Department of Endocrinology and Nutrition, Germans Trias i Pujol University Hospital, Badalona, Spain
| | - Marta Hernández
- Department of Endocrinology and Nutrition, Arnau de Vilanova University Hospital, Lleida, Spain
- Endocrine Research Unit, Lleida Institute for Biomedical Research Dr. Pifarré Foundation (IRBLleida), Lleida, Spain
| | - Betina Biagetti
- Department of Endocrinology and Nutrition, Vall Hebron University Hospital, Barcelona, Spain
| | - Olga Giménez-Palop
- Department of Endocrinology and Nutrition, Parc Taulí University Hospital, Sabadell, Spain
| | - Silvia Martínez
- Department Hormonal Laboratory, Germans Trias i Pujol University Hospital, Badalona, Spain
| | - Cristina Carrato
- Department of Pathology, Germans Trias i Pujol University Hospital, Badalona, Spain
| | - Laura Pons
- Department of Pathology, Germans Trias i Pujol University Hospital, Badalona, Spain
| | - Rocío Villar-Taibo
- Department of Endocrinology and Nutrition, Clínico de Santiago University Hospital, Santiago de Compostela, Spain
| | - Marta Araujo-Castro
- Department of Endocrinology and Nutrition, Ramón y Cajal University Hospital, Madrid, Spain
| | - Concepción Blanco
- Department of Endocrinology and Nutrition, Príncipe de Asturias University Hospital, Madrid, Spain
| | - Inmaculada Simón
- Department of Endocrinology and Nutrition, Joan XXIII University Hospital, Tarragona, Spain
| | - Andreu Simó-Servat
- Department of Endocrinology and Nutrition, Mutua de Terrassa University Hospital, Terrassa, Spain
| | - Gemma Xifra
- Department of Endocrinology and Nutrition, Josep Trueta University Hospital, Girona, Spain
| | - Federico Vázquez
- Department of Endocrinology and Nutrition, Germans Trias i Pujol University Hospital, Badalona, Spain
| | - Isabel Pavón
- Department of Endocrinology and Nutrition, Getafe University Hospital, Madrid, Spain
| | - Rogelio García-Centeno
- Department of Endocrinology and Nutrition, Gregorio Marañón University Hospital, Madrid, Spain
| | - Roxana Zavala
- Department of Endocrinology and Nutrition, Joan XXIII University Hospital, Tarragona, Spain
| | - Felicia Alexandra Hanzu
- Department of Endocrinology and Nutrition, Hospital Clinic University Hospital, Barcelona, Spain
- Endocrine Research Unit, Institut d’Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain
| | - Mireia Mora
- Department of Endocrinology and Nutrition, Hospital Clinic University Hospital, Barcelona, Spain
- Endocrine Research Unit, Institut d’Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain
| | - Anna Aulinas
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBER-ER, Unidad 747), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
- Department of Endocrinology and Nutrition, Hospital Sant Pau, Barcelona, Spain
- Universitat Autònoma de Barcelona (UAB), Departament de Medicina, Barcelona, Spain
| | - Nuria Vilarrasa
- Department of Endocrinology and Nutrition, Bellvitge University Hospital, Bellvitge, Spain
- Endocrine Research Unit, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), Bellvitge, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Soledad Librizzi
- Department of Endocrinology and Nutrition, 12 de Octubre University Hospital, Madrid, Spain
| | - María Calatayud
- Department of Endocrinology and Nutrition, 12 de Octubre University Hospital, Madrid, Spain
| | - Paz de Miguel
- Department of Endocrinology and Nutrition, Clínico San Carlos University Hospital, Madrid, Spain
| | | | - Antonio Picó
- Department of Endocrinology and Nutrition, General University Hospital Dr Balmis, Miguel Hernández University, Alicante, Spain
- Endocrine Research Unit, Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, Spain
| | - Miguel Sampedro
- Department of Endocrinology and Nutrition, La Princesa University Hospital, Madrid, Spain
| | - Isabel Salinas
- Department of Endocrinology and Nutrition, Germans Trias i Pujol University Hospital, Badalona, Spain
| | | | - Rosa Cámara
- Department of Endocrinology and Nutrition, La Fe University Hospital, Valencia, Spain
| | - Ignacio Bernabéu
- Department of Endocrinology and Nutrition, Clínico de Santiago University Hospital, Santiago de Compostela, Spain
| | - Mireia Jordà
- Endocrine Research Unit, Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
| | - Susan M. Webb
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBER-ER, Unidad 747), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
- Department of Endocrinology and Nutrition, Hospital Sant Pau, Barcelona, Spain
- Universitat Autònoma de Barcelona (UAB), Departament de Medicina, Barcelona, Spain
| | - Mónica Marazuela
- Department of Endocrinology and Nutrition, La Princesa University Hospital, Madrid, Spain
| | - Manel Puig-Domingo
- Endocrine Research Unit, Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBER-ER, Unidad 747), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain
- Department of Endocrinology and Nutrition, Germans Trias i Pujol University Hospital, Badalona, Spain
- Universitat Autònoma de Barcelona (UAB), Departament de Medicina, Barcelona, Spain
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11
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Ruiz S, Gil J, Biagetti B, Venegas E, Cámara R, Garcia-Centeno R, Gálvez MÁ, Picó A, Maraver S, González I, Abellán P, Trincado P, Herrera M, Olvera P, Xifra G, Bernabeu I, Serra-Soler G, Azriel S, García L, Carvalho D, Jordà M, Valassi E, Puig J, Puig-Domingo M. Magnetic resonance imaging as a predictor of therapeutic response to pasireotide in acromegaly. Clin Endocrinol (Oxf) 2023; 99:378-385. [PMID: 37421211 DOI: 10.1111/cen.14946] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 06/26/2023] [Accepted: 06/28/2023] [Indexed: 07/10/2023]
Abstract
OBJECTIVE Hyperintensity signal in T2-weighted magnetic resonance imaging (MRI) has been related to better therapeutic response during pasireotide treatment in acromegaly. The aim of the study was to evaluate T2 MRI signal intensity and its relation with pasireotide therapeutic effectiveness in real-life clinical practice. DESIGN, PATIENTS AND MEASUREMENTS Retrospective multicentre study including acromegaly patients treated with pasireotide. Adenoma T2-weighted MRI signal at diagnosis was qualitatively classified as iso-hyperintense or hypointense. Insulin-like growth factor (IGF-I), growth hormone (GH) and tumour volume reduction were assessed after 6 and 12 months of treatment and its effectiveness evaluated according to baseline MRI signal. Hormonal response was considered 'complete' when normalization of IGF-I levels was achieved. Significant tumour shrinkage was defined as a volume reduction of ≥25% from baseline. RESULTS Eighty-one patients were included (48% women, 50 ± 1.5 years); 93% had previously received somatostatin receptor ligands (SRLs) treatment. MRI signal was hypointense in 25 (31%) and hyperintense in 56 (69%) cases. At 12 months of follow-up, 42/73 cases (58%) showed normalization of IGF-I and 37% both GH and IGF-I. MRI signal intensity was not associated with hormonal control. 19/51 cases (37%) presented a significant tumour volume shrinkage, 16 (41%) from the hyperintense group and 3 (25%) from the hypointense. CONCLUSIONS T2-signal hyperintensity was more frequently observed in pasireotide treated patients. Almost 60% of SRLs resistant patients showed a complete normalization of IGF-I after 1 year of pasireotide treatment, regardless of the MRI signal. There was also no difference in the percentage tumour shrinkage over basal residual volume between the two groups.
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Affiliation(s)
- Sabina Ruiz
- Germans Trias i i Pujol Research Institute and Hospital, Universitat Autònoma de Barcelona, Badalona, Spain
| | - Joan Gil
- Germans Trias i i Pujol Research Institute and Hospital, Universitat Autònoma de Barcelona, Badalona, Spain
| | - Betina Biagetti
- Servei d'Endocrinología i Nutrició, Hospital Universitari Vall d'Hebrón, Barcelona, Spain
| | - Eva Venegas
- Servicio de Endocrinología y Nutrición, Hospital Universitario Virgen del Rocío, Sevilla, Spain
| | - Rosa Cámara
- Servicio de Endocrinología y Nutrición, Hospital Universitario La Fe, Valencia, Spain
| | - Rogelio Garcia-Centeno
- Servicio de Endocrinología y Nutrición, Hospital Universitario Gregorio Marañón, Madrid, Spain
| | - María-Ángeles Gálvez
- Servicio de Endocrinología y Nutrición, Hospital Universitario Reina Sofía, Córdoba, Spain
| | - Antonio Picó
- Servicio de Endocrinología y Nutrición, Hospital General Universitario de Alicante, Alicante, Spain
| | - Silvia Maraver
- Servicio de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain
| | - Inmaculada González
- Servicio de Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - Pablo Abellán
- Servicio de Endocrinología y Nutrición, Hospital General Universitario de Castellón, Castellón de la Plana, Spain
| | - Pablo Trincado
- Servicio de Endocrinología y Nutrición, Hospital Universitario Miguel Servet, Zaragoza, Spain
| | - Mayte Herrera
- Servicio de Endocrinología y Nutrición, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain
| | - Pilar Olvera
- Servicio de Endocrinología y Nutrición, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain
| | - Gemma Xifra
- Servei d'Endocrinologia i Nutrició, Hospital Universitari Josep Trueta, Girona, Spain
| | - Ignacio Bernabeu
- Servicio de Endocrinología y Nutrición, Complejo Universitario de Santiago de Compostela, Santiago de Compostela, Spain
| | - Guillermo Serra-Soler
- Servicio de Endocrinología y Nutrición, Hospital Universitario Son Espases, Palma de Mallorca, Spain
| | - Sharona Azriel
- Servicio de Endocrinología y Nutrición, Hospital Universitario Infanta Sofía, Madrid, Spain
| | - Lourdes García
- Servicio de Endocrinología y Nutrición, Hospital Universitario de Jerez, Cádiz, Spain
| | - Davide Carvalho
- Servicio de Endocrinología, Diabetes y Metabolismo, Centro Hospitalar Universitário de São João, FMUP, i3s, Porto, Portugal
| | - Mireia Jordà
- Germans Trias i i Pujol Research Institute and Hospital, Universitat Autònoma de Barcelona, Badalona, Spain
| | - Elena Valassi
- Germans Trias i i Pujol Research Institute and Hospital, Universitat Autònoma de Barcelona, Badalona, Spain
| | - Josep Puig
- Centre de Medicina Comparada i Bioimatge, IGTP, Badalona, Spain
- Servei de Radiologia, Hospital Universitari Josep Trueta, IDIBGi, Girona, Spain
| | - Manel Puig-Domingo
- Germans Trias i i Pujol Research Institute and Hospital, Universitat Autònoma de Barcelona, Badalona, Spain
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12
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Henriques DG, Miranda RL, Dezonne RS, Wildemberg LE, Camacho AHDS, Chimelli L, Kasuki L, Lamback EB, Guterres A, Gadelha MR. miR-383-5p, miR-181a-5p, and miR-181b-5p as Predictors of Response to First-Generation Somatostatin Receptor Ligands in Acromegaly. Int J Mol Sci 2023; 24:ijms24032875. [PMID: 36769196 PMCID: PMC9918086 DOI: 10.3390/ijms24032875] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/19/2023] [Accepted: 01/24/2023] [Indexed: 02/05/2023] Open
Abstract
Acromegaly is a chronic systemic disease caused in the vast majority of cases by growth hormone (GH)-secreting adenoma, with surgery being the first-line treatment. When a cure is not attained with surgery, first-generation somatostatin receptor ligands (fg-SRLs) are the most common medication prescribed. Predictors of response to fg-SRLs have been studied; however, they cannot fully predict the response to fg-SRL. MicroRNAs are small RNAs, the main role of which is messenger RNA (mRNA) post-transcriptional regulation. This study aimed to identify the microRNAs involved in resistance to treatment with fg-SRLs in acromegaly. Ten patients with acromegaly undergoing treatment with fg-SRLs were selected to undergo miRNA sequencing: five controlled and five uncontrolled with treatment. Bioinformatic analysis was performed to detect differentially expressed miRNAs. Then, the same 10 samples were used for validation by qPCR and an additional 22 samples were analyzed, totaling 32 samples. e We found 59 differentially expressed miRNAs in the first analysis. miR-181a-5p and miR-181b-5p were downregulated, and miR-383-5p was upregulated in the uncontrolled group. Receiver operating characteristic (ROC) curve analysis of miR-383-5p showed an NPV of 84.3% and a PPV of 84.5%. In summary, miR-181a-5p, miR-181b-5p, and miR-383-5p are biomarkers of response to fg-SRLs, and they can be used individually or included in prediction models as tools to guide clinical decisions.
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Affiliation(s)
- Daniel G. Henriques
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
| | - Renan Lyra Miranda
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
| | - Rômulo Sperduto Dezonne
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
| | - Luiz Eduardo Wildemberg
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
- Neuroendocrinology Division, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
| | - Aline Helen da Silva Camacho
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
| | - Leila Chimelli
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
| | - Leandro Kasuki
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
- Neuroendocrinology Division, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
- Endocrinology Division, Hospital Federal de Bonsucesso, Rio de Janeiro 21041-020, Brazil
| | - Elisa B. Lamback
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
- Neuroendocrinology Division, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
| | - Alexandro Guterres
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
| | - Monica R. Gadelha
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
- Neuroendocrinology Division, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
- Correspondence:
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13
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Bianchi A, Chiloiro S, Giampietro A, Gaudino S, Calandrelli R, Mazzarella C, Caldarella C, Rigante M, Gessi M, Lauretti L, De Marinis L, Olivi A, Pontecorvi A, Doglietto F. Multidisciplinary management of difficult/aggressive growth-hormone pituitary neuro-endocrine tumors. Front Endocrinol (Lausanne) 2023; 14:1123267. [PMID: 37206441 PMCID: PMC10189777 DOI: 10.3389/fendo.2023.1123267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 03/13/2023] [Indexed: 05/21/2023] Open
Abstract
Growth Hormone-secreting adenomas exhibits variable biological behavior and heterogeneous natural history, ranging from small adenomas and mild disease, to invasive and aggressive neoplasms with more severe clinical picture. Patients not cured or controlled after neurosurgical and first-generation somatostatin receptor ligands (SRL) therapy could require multiple surgical, medical and/or radiation treatments to achieve disease control. To date, no clinical, laboratory, histopathological, or neuroradiological markers are able to define the aggressiveness or predict the disease prognosis in patients with acromegaly. Therefore, the management of these patients requires careful evaluation of laboratory assessments, diagnostic criteria, neuroradiology examinations, and neurosurgical approaches to choose an effective and patient-tailored medical therapy. A multidisciplinary approach is particularly useful in difficult/aggressive acromegaly to schedule multimodal treatment, which includes radiation therapy, chemotherapy with temozolomide and other, recent emerging treatments. Herein, we describe the role of the different members of the multidisciplinary team according to our personal experience; a flow-chart for the therapeutic approach of difficult/aggressive acromegaly patients is proposed.
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Affiliation(s)
- Antonio Bianchi
- Pituitary Unit, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Endocrinology and Diabetes Unit, Department of Medical and Surgical Translational Sciences, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Sabrina Chiloiro
- Pituitary Unit, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Endocrinology and Diabetes Unit, Department of Medical and Surgical Translational Sciences, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- *Correspondence: Sabrina Chiloiro,
| | - Antonella Giampietro
- Pituitary Unit, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Endocrinology and Diabetes Unit, Department of Medical and Surgical Translational Sciences, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Simona Gaudino
- Radiology and Neuroradiology Unit, Department of Imaging, Radiation Therapy and Hematology, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Rosalinda Calandrelli
- Radiology and Neuroradiology Unit, Department of Imaging, Radiation Therapy and Hematology, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Ciro Mazzarella
- Radiation Therapy Unit, Department of Imaging, Radiation Therapy and Hematology, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Carmelo Caldarella
- Nuclear Medicine Unit, Department of Imaging, Radiation Therapy and Hematology, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Mario Rigante
- Department of Aging, Neurological, Orthopedic and Head-Neck Sciences, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Marco Gessi
- Neuropathology Unit, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Pathology Unit of Head and Neck, Lung and Endocrine Systems, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Liverana Lauretti
- Neurosurgery Unit, Department of Neurosciences, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Neurosurgery Unit, Department of Neurosciences, Catholic University School of Medicine, Rome, Italy
| | - Laura De Marinis
- Pituitary Unit, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Endocrinology and Diabetes Unit, Department of Medical and Surgical Translational Sciences, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Alessandro Olivi
- Neurosurgery Unit, Department of Neurosciences, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Neurosurgery Unit, Department of Neurosciences, Catholic University School of Medicine, Rome, Italy
| | - Alfredo Pontecorvi
- Pituitary Unit, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Endocrinology and Diabetes Unit, Department of Medical and Surgical Translational Sciences, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Francesco Doglietto
- Neurosurgery Unit, Department of Neurosciences, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Neurosurgery Unit, Department of Neurosciences, Catholic University School of Medicine, Rome, Italy
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Berton AM, Prencipe N, Bertero L, Baldi M, Bima C, Corsico M, Bianchi A, Mantovani G, Ferraù F, Sartorato P, Gagliardi I, Ghigo E, Grottoli S. Resistance to Somatostatin Analogs in Italian Acromegaly Patients: The MISS Study. J Clin Med 2022; 12:jcm12010025. [PMID: 36614826 PMCID: PMC9821091 DOI: 10.3390/jcm12010025] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/14/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022] Open
Abstract
Approximately 60% of acromegaly patients are not adequately controlled by first-generation somatostatin receptor ligands. This multicenter retrospective study aimed to identify the most relevant biomarkers specific for the Italian acromegaly population. Resistant patients were enrolled consecutively based on time of neurosurgery, while responders were collected in a 1:2 ratio. Clinical characteristics and T2-intensity on MRI scans at diagnosis were retrospectively re-evaluated. Histological analyses of CAM5.2 granulation patterns and SSTR2 expression were centrally performed. Sixty-three resistant patients and thirty-three responders were enrolled. A low-grade SSTR2 expression was the most relevant predictor of resistance identified (OR 4.58, p = 0.013), even considering CAM5.2 immunohistochemistry (OR 2.65, p = 0.047). T2-iso/hyperintense pattern on MRI was also associated with a 3.3-fold greater probability of poor response to medical treatment (p = 0.027), as well as a young age at diagnosis (OR 0.96, p = 0.035). In those patients treated only after neurosurgery due to persistent GH-hypersecretion (51, 53.1%) the absence of any appreciable adenomatous remnant on postoperative MRI was associated with a negligible risk of resistance (OR 0.04, p = 0.003). In the Italian acromegaly population, a low-grade SSTR2 expression seems to be the most relevant predictor of resistance to first-generation somatostatin receptor ligands, followed by a SG/intermediate cytokeratin pattern and a T2-iso/hyperintense MRI signal.
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Affiliation(s)
- Alessandro Maria Berton
- Division of Endocrinology, Diabetology and Metabolism, Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | - Nunzia Prencipe
- Division of Endocrinology, Diabetology and Metabolism, Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | - Luca Bertero
- Pathology Division 2, Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | - Marco Baldi
- Division of Endocrinology, Diabetology and Metabolism, Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | - Chiara Bima
- Department of Translational Medicine and Surgery, University Cattolica del Sacro Cuore, Endocrinology and Diabetology Unit, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Marina Corsico
- Department of Neurosciences, University of Turin, 10126 Turin, Italy
| | - Antonio Bianchi
- Department of Translational Medicine and Surgery, University Cattolica del Sacro Cuore, Endocrinology and Diabetology Unit, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Giovanna Mantovani
- Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Endocrinology Unit, 20122 Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy
| | - Francesco Ferraù
- Department of Human Pathology of Adulthood and Childhood G. Barresi, University of Messina, Endocrine Unit, University Hospital G. Martino, 98125 Messina, Italy
| | - Paola Sartorato
- Internal Medicine 2, Ca’ Foncello Hospital, AULSS2, 31100 Treviso, Italy
| | - Irene Gagliardi
- Section of Endocrinology and Internal Medicine, Department of Medical Sciences, University of Ferrara, 44100 Ferrara, Italy
| | - Ezio Ghigo
- Division of Endocrinology, Diabetology and Metabolism, Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | - Silvia Grottoli
- Division of Endocrinology, Diabetology and Metabolism, Department of Medical Sciences, University of Turin, 10126 Turin, Italy
- Correspondence: ; Tel.: +39-011-633-7400
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Gatto F, Wildemberg LE, Ferone D, Gadelha MR. Routine Evaluation of Somatostatin Receptor Type 2 in Patients With Acromegaly: Do We Still Need More Evidence? J Clin Endocrinol Metab 2022; 107:e4382-e4383. [PMID: 36215656 DOI: 10.1210/clinem/dgac584] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Indexed: 11/19/2022]
Affiliation(s)
- Federico Gatto
- Endocrinology Unit, IRCCS Ospedale Policlinico San Martino, Genova 16132, Italy
| | - Luiz Eduardo Wildemberg
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho - Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-913, Brazil
- Neuroendocrine Unit - Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro 20231-092, Brazil
| | - Diego Ferone
- Endocrinology Unit, IRCCS Ospedale Policlinico San Martino, Genova 16132, Italy
- Endocrinology Unit, Department of Internal Medicine and Medical Specialties, University of Genova, Genova 16132, Italy
| | - Monica R Gadelha
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho - Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-913, Brazil
- Neuroendocrine Unit - Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro 20231-092, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro 20231-092, Brazil
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Ilie MD, Tabarin A, Vasiljevic A, Bonneville JF, Moreau-Grangé L, Schillo F, Delemer B, Barlier A, Figarella-Branger D, Bisot-Locard S, Santos A, Chanson P, Raverot G. Predictive Factors of Somatostatin Receptor Ligand Response in Acromegaly-A Prospective Study. J Clin Endocrinol Metab 2022; 107:2982-2991. [PMID: 36136828 DOI: 10.1210/clinem/dgac512] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Indexed: 11/19/2022]
Abstract
CONTEXT Somatostatin receptor ligands (SRLs) are the cornerstone medical treatments for acromegaly; however, many patients remain unresponsive to SRLs. Well-established predictive markers of response are needed. OBJECTIVE We aimed to explore the relationship between responsiveness to SRLs relative to somatostatin (SST)2A and 5 receptor expression, adenoma granularity, and T2-weighted magnetic resonance imaging (MRI) signal intensity (T2WSI). METHODS We conducted a multicentric, prospective, observational cohort study, in France. Forty-nine naïve patients (ie, patients without preoperative SRL treatment) with active acromegaly following surgery were treated with octreotide (group 1; n = 47), or pasireotide if uncontrolled under first-generation SRLs (group 2; n = 9). Data were collected at baseline and months 3 and 6. Biochemical measurements, immunohistochemistry studies, and MRI readings were centralized. RESULTS In group 1, IGF-I decrease from baseline to month 6 positively correlated with SST2A immunoreactive score (IRS), P = 0.01. Densely granulated/intermediate adenomas had a greater IGF-I and GH decrease under octreotide compared with sparsely granulated adenomas (P = 0.02 and P = 0.006, respectively), and expressed greater levels of SST2A (P < 0.001), coupled with lower levels of SST5 (P = 0.004). T2WSI changed between preoperative MRI and month 6 MRI in one-half of the patients. Finally, SST5 IRS was higher in preoperative hyperintense compared with preoperative hypointense adenomas (P = 0.04), and most sparsely granulated and most hyperintense adenomas expressed high SST5 levels. CONCLUSION We prospectively confirm that SST2A and adenoma granularity are good predictors of response to octreotide. We propose the IRS for scoring system harmonization. MRI sequences must be optimized to be able to use the T2WSI as a predictor of treatment response.
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Affiliation(s)
- Mirela-Diana Ilie
- Inserm U1052, CNRS UMR5286, Claude Bernard Lyon 1 University, Cancer Research Center of Lyon, Lyon 69001, France
- Endocrinology Department, "C.I. Parhon" National Institute of Endocrinology, Bucharest 011863, Romania
| | - Antoine Tabarin
- Department of Endocrinology, Diabetes and Nutrition, Bordeaux University Hospital, Pessac 33600, France
| | - Alexandre Vasiljevic
- Inserm U1052, CNRS UMR5286, Claude Bernard Lyon 1 University, Cancer Research Center of Lyon, Lyon 69001, France
- Pathology Department, "Groupement Hospitalier Est" Hospices Civils de Lyon, Bron 69500, France
| | - Jean-François Bonneville
- Departments of Medical Imaging and Endocrinology, Liège University Hospital, Liège 4000, Belgium
| | - Lucile Moreau-Grangé
- Department of Endocrinology, Diabetes and Metabolic Disorders, Rouen University Hospital, Rouen 76000, France
| | - Franck Schillo
- Department of Diabetes, Endocrinology and Nutrition, Besançon University Hospital, Besançon 25030, France
| | - Brigitte Delemer
- Department of Endocrinology, Diabetes and Nutrition, Reims University Hospital, Reims 51092, France
| | - Anne Barlier
- Laboratory of Molecular Biology, Conception University Hospital, AP-HM, Marseille 13005, France
- Aix-Marseille University, Inserm, MMG, Marseille 13011, France
| | | | | | | | - Philippe Chanson
- Department of Endocrinology and Reproduction Disorders, Bicêtre Hospital, AP-HP, Le Kremlin-Bicêtre 94270, France
- Paris-Saclay University, Inserm, "Physiologie et Physiopathologie Endocriniennes", Le Kremlin-Bicêtre 91190, France
| | - Gérald Raverot
- Inserm U1052, CNRS UMR5286, Claude Bernard Lyon 1 University, Cancer Research Center of Lyon, Lyon 69001, France
- Endocrinology Department, "Groupement Hospitalier Est" Hospices Civils de Lyon, Bron 69500, France
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17
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Fleseriu M, Langlois F, Lim DST, Varlamov EV, Melmed S. Acromegaly: pathogenesis, diagnosis, and management. Lancet Diabetes Endocrinol 2022; 10:804-826. [PMID: 36209758 DOI: 10.1016/s2213-8587(22)00244-3] [Citation(s) in RCA: 64] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 08/01/2022] [Accepted: 08/09/2022] [Indexed: 11/23/2022]
Abstract
Growth hormone-secreting pituitary adenomas that cause acromegaly arise as monoclonal expansions of differentiated somatotroph cells and are usually sporadic. They are almost invariably benign, yet they can be locally invasive and show progressive growth despite treatment. Persistent excess of both growth hormone and its target hormone insulin-like growth factor 1 (IGF-1) results in a wide array of cardiovascular, respiratory, metabolic, musculoskeletal, neurological, and neoplastic comorbidities that might not be reversible with disease control. Normalisation of IGF-1 and growth hormone are the primary therapeutic aims; additional treatment goals include tumour shrinkage, relieving symptoms, managing complications, reducing excess morbidity, and improving quality of life. A multimodal approach with surgery, medical therapy, and (more rarely) radiation therapy is required to achieve these goals. In this Review, we examine the epidemiology, pathogenesis, diagnosis, complications, and treatment of acromegaly, with an emphasis on the importance of tailoring management strategies to each patient to optimise outcomes.
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Affiliation(s)
- Maria Fleseriu
- Department of Medicine (Division of Endocrinology, Diabetes and Clinical Nutrition) and Department of Neurological Surgery, and Pituitary Center, Oregon Health & Science University, Portland, OR, USA.
| | - Fabienne Langlois
- Division of Endocrinology, Department of Medicine, Centre Intégré Universitaire de Santé et de Services Sociaux de l'Estrie-Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, Canada
| | | | - Elena V Varlamov
- Department of Medicine (Division of Endocrinology, Diabetes and Clinical Nutrition) and Department of Neurological Surgery, and Pituitary Center, Oregon Health & Science University, Portland, OR, USA
| | - Shlomo Melmed
- Department of Medicine and Pituitary Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
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Henriques DG, Lamback EB, Dezonne RS, Kasuki L, Gadelha MR. MicroRNA in Acromegaly: Involvement in the Pathogenesis and in the Response to First-Generation Somatostatin Receptor Ligands. Int J Mol Sci 2022; 23:ijms23158653. [PMID: 35955787 PMCID: PMC9368811 DOI: 10.3390/ijms23158653] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 07/25/2022] [Accepted: 08/01/2022] [Indexed: 11/18/2022] Open
Abstract
Acromegaly is a chronic and systemic disease due to excessive growth hormone and insulin-like growth factor type I caused, in the vast majority of cases, by a GH-secreting pituitary adenoma. About 40% of these tumors have somatic mutations in the stimulatory G protein alpha-subunit 1 gene. The pathogenesis of the remaining tumors, however, is still not fully comprehended. Surgery is the first-line therapy for these tumors, and first-generation somatostatin receptor ligands (fg-SRL) are the most prescribed medications in patients who are not cured by surgery. MicroRNAs are small, non-coding RNAs that control the translation of many mRNAs, and are involved in the post-transcriptional regulation of gene expression. Differentially expressed miRNAs can explain differences in the pathogenesis of acromegaly and tumor resistance. In this review, we focus on the most validated miRNAs, which are mainly involved in acromegaly’s tumorigenesis and fg-SRL resistance, as well as in circulating miRNAs in acromegaly.
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Affiliation(s)
- Daniel G. Henriques
- Neuroendocrinology Research Center, Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, Brazil
| | - Elisa B. Lamback
- Neuroendocrinology Research Center, Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
- Neuroendocrinology Division, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
| | - Romulo S. Dezonne
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
| | - Leandro Kasuki
- Neuroendocrinology Research Center, Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
- Neuroendocrinology Division, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
- Endocrinology Division, Hospital Federal de Bonsucesso, Rio de Janeiro 21041-020, Brazil
| | - Monica R. Gadelha
- Neuroendocrinology Research Center, Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
- Neuroendocrinology Division, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
- Correspondence:
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Sulu C, Bektaş AB, Şahin S, Durcan E, Kara Z, Demir AN, Özkaya HM, Tanrıöver N, Çomunoğlu N, Kızılkılıç O, Gazioğlu N, Gönen M, Kadıoğlu P. Machine learning as a clinical decision support tool for patients with acromegaly. Pituitary 2022; 25:486-495. [PMID: 35435565 DOI: 10.1007/s11102-022-01216-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/10/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVE To develop machine learning (ML) models that predict postoperative remission, remission at last visit, and resistance to somatostatin receptor ligands (SRL) in patients with acromegaly and to determine the clinical features associated with the prognosis. METHODS We studied outcomes using the area under the receiver operating characteristics (AUROC) values, which were reported as the performance metric. To determine the importance of each feature and easy interpretation, Shapley Additive explanations (SHAP) values, which help explain the outputs of ML models, are used. RESULTS One-hundred fifty-two patients with acromegaly were included in the final analysis. The mean AUROC values resulting from 100 independent replications were 0.728 for postoperative 3 months remission status classification, 0.879 for remission at last visit classification, and 0.753 for SRL resistance status classification. Extreme gradient boosting model demonstrated that preoperative growth hormone (GH) level, age at operation, and preoperative tumor size were the most important predictors for early remission; resistance to SRL and preoperative tumor size represented the most important predictors of remission at last visit, and postoperative 3-month insulin-like growth factor 1 (IGF1) and GH levels (random and nadir) together with the sparsely granulated somatotroph adenoma subtype served as the most important predictors of SRL resistance. CONCLUSIONS ML models may serve as valuable tools in the prediction of remission and SRL resistance.
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Affiliation(s)
- Cem Sulu
- Department of Internal Medicine, Division of Endocrinology, Metabolism, and Diabetes, Cerrahpasa Medical School, Istanbul University-Cerrahpaşa, Kocamustafapaşa Street No:53, 34098 Fatih, Istanbul, Turkey
| | - Ayyüce Begüm Bektaş
- Graduate School of Sciences and Engineering, Koç University, Istanbul, Turkey
| | - Serdar Şahin
- Department of Internal Medicine, Division of Endocrinology, Metabolism, and Diabetes, Cerrahpasa Medical School, Istanbul University-Cerrahpaşa, Kocamustafapaşa Street No:53, 34098 Fatih, Istanbul, Turkey
| | - Emre Durcan
- Department of Internal Medicine, Division of Endocrinology, Metabolism, and Diabetes, Cerrahpasa Medical School, Istanbul University-Cerrahpaşa, Kocamustafapaşa Street No:53, 34098 Fatih, Istanbul, Turkey
| | - Zehra Kara
- Department of Internal Medicine, Division of Endocrinology, Metabolism, and Diabetes, Cerrahpasa Medical School, Istanbul University-Cerrahpaşa, Kocamustafapaşa Street No:53, 34098 Fatih, Istanbul, Turkey
| | - Ahmet Numan Demir
- Department of Internal Medicine, Division of Endocrinology, Metabolism, and Diabetes, Cerrahpasa Medical School, Istanbul University-Cerrahpaşa, Kocamustafapaşa Street No:53, 34098 Fatih, Istanbul, Turkey
| | - Hande Mefkure Özkaya
- Department of Internal Medicine, Division of Endocrinology, Metabolism, and Diabetes, Cerrahpasa Medical School, Istanbul University-Cerrahpaşa, Kocamustafapaşa Street No:53, 34098 Fatih, Istanbul, Turkey
- Pituitary Center, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Necmettin Tanrıöver
- Pituitary Center, Istanbul University-Cerrahpasa, Istanbul, Turkey
- Department of Neurosurgery, Cerrahpasa Medical School, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Nil Çomunoğlu
- Department of Medical Pathology, Cerrahpasa Medical School, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Osman Kızılkılıç
- Pituitary Center, Istanbul University-Cerrahpasa, Istanbul, Turkey
- Department of Radiology, Cerrahpasa Medical School, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Nurperi Gazioğlu
- Pituitary Center, Istanbul University-Cerrahpasa, Istanbul, Turkey
- Department of Neurosurgery, Istinye University, Istanbul, Turkey
| | - Mehmet Gönen
- Department of Industrial Engineering, College of Engineering, Koç University, Istanbul, Turkey
- School of Medicine, Koç University, Istanbul, Turkey
| | - Pınar Kadıoğlu
- Department of Internal Medicine, Division of Endocrinology, Metabolism, and Diabetes, Cerrahpasa Medical School, Istanbul University-Cerrahpaşa, Kocamustafapaşa Street No:53, 34098 Fatih, Istanbul, Turkey.
- Pituitary Center, Istanbul University-Cerrahpasa, Istanbul, Turkey.
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20
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Data mining analyses for precision medicine in acromegaly: a proof of concept. Sci Rep 2022; 12:8979. [PMID: 35643771 PMCID: PMC9148300 DOI: 10.1038/s41598-022-12955-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 05/13/2022] [Indexed: 11/21/2022] Open
Abstract
Predicting which acromegaly patients could benefit from somatostatin receptor ligands (SRL) is a must for personalized medicine. Although many biomarkers linked to SRL response have been identified, there is no consensus criterion on how to assign this pharmacologic treatment according to biomarker levels. Our aim is to provide better predictive tools for an accurate acromegaly patient stratification regarding the ability to respond to SRL. We took advantage of a multicenter study of 71 acromegaly patients and we used advanced mathematical modelling to predict SRL response combining molecular and clinical information. Different models of patient stratification were obtained, with a much higher accuracy when the studied cohort is fragmented according to relevant clinical characteristics. Considering all the models, a patient stratification based on the extrasellar growth of the tumor, sex, age and the expression of E-cadherin, GHRL, IN1-GHRL, DRD2, SSTR5 and PEBP1 is proposed, with accuracies that stand between 71 to 95%. In conclusion, the use of data mining could be very useful for implementation of personalized medicine in acromegaly through an interdisciplinary work between computer science, mathematics, biology and medicine. This new methodology opens a door to more precise and personalized medicine for acromegaly patients.
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21
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Vermeulen I, Isin EM, Barton P, Cillero-Pastor B, Heeren RM. Multimodal molecular imaging in drug discovery and development. Drug Discov Today 2022; 27:2086-2099. [DOI: 10.1016/j.drudis.2022.04.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 03/03/2022] [Accepted: 04/08/2022] [Indexed: 02/06/2023]
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22
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Ershadinia N, Tritos NA. Diagnosis and Treatment of Acromegaly: An Update. Mayo Clin Proc 2022; 97:333-346. [PMID: 35120696 DOI: 10.1016/j.mayocp.2021.11.007] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 10/16/2021] [Accepted: 11/04/2021] [Indexed: 01/01/2023]
Abstract
Acromegaly is typically caused by a growth hormone-secreting pituitary adenoma, driving excess secretion of insulin-like growth factor 1. Acromegaly may result in a variety of cardiovascular, respiratory, endocrine, metabolic, musculoskeletal, and neoplastic comorbidities. Early diagnosis and adequate treatment are essential to mitigate excess mortality associated with acromegaly. PubMed searches were conducted using the keywords growth hormone, acromegaly, pituitary adenoma, diagnosis, treatment, pituitary surgery, medical therapy, and radiation therapy (between 1981 and 2021). The diagnosis of acromegaly is confirmed on biochemical grounds, including elevated serum insulin-like growth factor 1 and lack of growth hormone suppression after glucose administration. Pituitary magnetic resonance imaging is advised in patients with acromegaly to identify an underlying pituitary adenoma. Transsphenoidal pituitary surgery is generally first-line therapy for patients with acromegaly. However, patients with larger and invasive tumors (macroadenomas) are often not in remission postoperatively. Medical therapies, including somatostatin receptor ligands, cabergoline, and pegvisomant, can be recommended to patients with persistent disease after surgery. Select patients may also be candidates for preoperative medical therapy. In addition, primary medical therapy has a role for patients without mass effect on the optic chiasm who are unlikely to be cured by surgery. Clinical, endocrine, imaging, histologic, and molecular markers may help predict the response to medical therapy; however, confirmation in prospective studies is needed. Radiation therapy is usually a third-line option and is increasingly administered by a variety of stereotactic techniques. An improved understanding of the pathogenesis of acromegaly may ultimately lead to the design of novel, efficacious therapies for this serious condition.
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Affiliation(s)
- Nazanin Ershadinia
- Neuroendocrine Unit and Neuroendocrine and Pituitary Tumor Clinical Center, Massachusetts General Hospital, Boston
| | - Nicholas A Tritos
- Neuroendocrine Unit and Neuroendocrine and Pituitary Tumor Clinical Center, Massachusetts General Hospital, Boston; Harvard Medical School, Boston, MA.
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23
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Gadelha MR, Wildemberg LE, Kasuki L. The Future of Somatostatin Receptor Ligands in Acromegaly. J Clin Endocrinol Metab 2022; 107:297-308. [PMID: 34618894 PMCID: PMC8764337 DOI: 10.1210/clinem/dgab726] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Indexed: 12/13/2022]
Abstract
Currently, the first-generation somatostatin receptor ligands (fg-SRLs), octreotide LAR and lanreotide autogel, are the mainstays of acromegaly treatment and achieve biochemical control in approximately 40% of patients and tumor shrinkage in over 60% of patients. Pasireotide, a second-generation SRL, shows higher efficacy with respect to both biochemical control and tumor shrinkage but has a worse safety profile. In this review, we discuss the future perspectives of currently available SRLs, focusing on the use of biomarkers of response and precision medicine, new formulations of these SRLs and new drugs, which are under development. Precision medicine, which is based on biomarkers of response to treatment, will help guide the decision-making process by allowing physicians to choose the appropriate drug for each patient and improving response rates. New formulations of available SRLs, such as oral, subcutaneous depot, and nasal octreotide, may improve patients' adherence to treatment and quality of life since there will be more options available that better suit each patient. Finally, new drugs, such as paltusotine, somatropin, ONO-5788, and ONO-ST-468, may improve treatment adherence and present higher efficacy than currently available drugs.
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Affiliation(s)
- Monica R Gadelha
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho - Universidade Federal do Rio de Janeiro, Rio de Janeiro, 21941-913, Brazil
- Neuroendocrine Unit - Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, 20231-092, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, 20231-092, Brazil
- Correspondence: Mônica R. Gadelha, Rua Prof. Rodolpho Paulo Rocco, 255, 9th floor, Ilha do Fundão, Rio de Janeiro 21941-913, Brazil.
| | - Luiz Eduardo Wildemberg
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho - Universidade Federal do Rio de Janeiro, Rio de Janeiro, 21941-913, Brazil
- Neuroendocrine Unit - Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, 20231-092, Brazil
| | - Leandro Kasuki
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho - Universidade Federal do Rio de Janeiro, Rio de Janeiro, 21941-913, Brazil
- Neuroendocrine Unit - Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, 20231-092, Brazil
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Ting Lim DS, Fleseriu M. Personalized Medical Treatment in Patients with Acromegaly: A Review. Endocr Pract 2022; 28:321-332. [PMID: 35032649 DOI: 10.1016/j.eprac.2021.12.017] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 12/22/2021] [Accepted: 12/23/2021] [Indexed: 12/23/2022]
Abstract
Acromegaly is associated with significant morbidity and mortality if not appropriately treated. In addition to insulin-like growth factor 1 (IGF-1) and growth hormone (GH) normalization, and tumor shrinkage, treatment goals include symptom relief, managing complications and improving quality of life. Surgical resection is a first-line treatment in most patients, with few being pretreated pre-operatively with medications. Somatostatin receptor ligands (SRLs), injectable and more recently oral capsules, have been the cornerstone of first-line medical therapy for persistent disease. However, several factors, including sparsely granulated adenomas, absent/low somatostatin receptor (SSTR2) status, imaging T2-hyperintensity, young age and aryl hydrocarbon receptor interacting protein mutations could predict first-generation SRL resistance. Patients with these characteristics may be better candidates for the GH receptor antagonist, pegvisomant, or in cases of large tumors the second-generation SRL, pasireotide. Combination therapy should be further pursued in patients who remain biochemically uncontrolled or have high remnant tumor after monotherapy. An efficacious and cost-effective pegvisomant dose-sparing effect of SRLs when used in combination has been demonstrated. With such a wide array of medical treatment options, it is increasingly important to tailor treatment to patients' unique characteristics as well as preferences, with a goal of personalizing management to achieve high quality outcomes.
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Affiliation(s)
| | - Maria Fleseriu
- Pituitary Center, and Departments of Medicine (Endocrinology, Diabetes and Clinical Nutrition) and Neurological Surgery, Oregon Health & Science University, Portland, Oregon, USA.
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Wildemberg LE, Henriques D, Elias PCL, Lima CHDA, Musolino NRDC, Camacho AHS, Faria O, Nazato D, Abucham J, Vilar L, Mota JI, Huayllas MKP, Chimelli L, de Castro M, Kasuki L, Gadelha MR. gsp Mutation Is Not a Molecular Biomarker of Long-Term Response to First-Generation Somatostatin Receptor Ligands in Acromegaly. Cancers (Basel) 2021; 13:cancers13194857. [PMID: 34638340 PMCID: PMC8508484 DOI: 10.3390/cancers13194857] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 08/05/2021] [Accepted: 09/23/2021] [Indexed: 12/01/2022] Open
Abstract
Simple Summary Acromegaly treatment consists of surgical, medical, and radiation therapy. First-generation somatostatin receptor ligands are the mainstay of medical therapy, with approximately 40% disease control rate. Several parameters have been evaluated as predictors of response to these drugs, including mutations in the stimulatory G-protein α subunit (gsp mutation), which is still controversial. In this study, we aimed to evaluate in a large series of patients whether gsp mutation predicts long-term response to medical treatment and to characterize the gsp mutated population. The ability to predict response to medical therapy would help to choose a therapy that presents higher odds of controlling the disease, which ultimately would reduce treatment costs and disease morbi-mortality. Abstract Background: It is still controversial if activating mutations in the stimulatory G-protein α subunit (gsp mutation) are a biomarker of response to first generation somatostatin receptor ligands (fg-SRL) treatment in acromegaly. Thus, we aimed to evaluate whether gsp mutation predicts long-term response to fg-SRL treatment and to characterize the phenotype of patients harboring gsp mutations. Methods: GNAS1 sequencing was performed by Sanger. SST2 and SST5 were analyzed by immunohistochemistry (IHC) and real-time RT-PCR. The cytokeratin granulation pattern was evaluated by IHC. Biochemical control was defined as GH < 1.0 ng/mL and normal age-adjusted IGF-I levels. Results: gsp mutation was found in 54 out of 136 patients evaluated. Biochemical control with fg-SRL treatment was similar in gsp+ and gsp- patients (37% vs. 25%, p = 0.219). Tumors harboring gsp mutation were smaller (p = 0.035) and had a lower chance of invading cavernous sinuses (p = 0.001). SST5 protein (p = 0.047) and mRNA (p = 0.013) expression levels were higher in wild-type tumors. Conclusions: In this largest series available in the literature, we concluded that gsp is not a molecular biomarker of response to fg-SRL treatment in acromegaly. However, the importance of its negative association with cavernous sinus invasion and SST5 expression needs to be further investigated.
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Affiliation(s)
- Luiz Eduardo Wildemberg
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil; (L.E.W.); (D.H.); (O.F.); (L.K.)
- Neuroendocrine Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro 20231-092, Brazil
| | - Daniel Henriques
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil; (L.E.W.); (D.H.); (O.F.); (L.K.)
| | - Paula C. L. Elias
- Division of Endocrinology, Department of Internal Medicine, Ribeirao Preto Medical School, Universidade de São Paulo, Ribeirão Preto 14049-900, Brazil; (P.C.L.E.); (M.d.C.)
| | - Carlos Henrique de A. Lima
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro 20231-092, Brazil; (C.H.d.A.L.); (A.H.S.C.); (L.C.)
| | - Nina R. de Castro Musolino
- Neuroendocrine Unit, Division of Functional Neurosurgery, Hospital das Clínicas da Universidade de São Paulo, São Paulo 05403-000, Brazil;
| | - Aline Helen Silva Camacho
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro 20231-092, Brazil; (C.H.d.A.L.); (A.H.S.C.); (L.C.)
| | - Olivia Faria
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil; (L.E.W.); (D.H.); (O.F.); (L.K.)
| | - Debora Nazato
- Neuroendocrine Unit, Division of Endocrinology and Metabolism, Escola Paulista de Medicina, Universidade Federal de São Paulo (Unifesp), São Paulo 04023-062, Brazil; (D.N.); (J.A.)
| | - Julio Abucham
- Neuroendocrine Unit, Division of Endocrinology and Metabolism, Escola Paulista de Medicina, Universidade Federal de São Paulo (Unifesp), São Paulo 04023-062, Brazil; (D.N.); (J.A.)
| | - Lucio Vilar
- Division of Endocrinology, Hospital das Clínicas da Universidade Federal de Pernambuco, Recife 50670-901, Brazil;
| | - Jose Italo Mota
- Endocrinology and Metabolism Unit, Hospital Geral de Fortaleza, Secretaria Estadual de Saúde, Fortaleza 60150-160, Brazil;
| | | | - Leila Chimelli
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro 20231-092, Brazil; (C.H.d.A.L.); (A.H.S.C.); (L.C.)
| | - Margaret de Castro
- Division of Endocrinology, Department of Internal Medicine, Ribeirao Preto Medical School, Universidade de São Paulo, Ribeirão Preto 14049-900, Brazil; (P.C.L.E.); (M.d.C.)
| | - Leandro Kasuki
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil; (L.E.W.); (D.H.); (O.F.); (L.K.)
- Neuroendocrine Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro 20231-092, Brazil
| | - Mônica R. Gadelha
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil; (L.E.W.); (D.H.); (O.F.); (L.K.)
- Neuroendocrine Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro 20231-092, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro 20231-092, Brazil; (C.H.d.A.L.); (A.H.S.C.); (L.C.)
- Correspondence: ; Tel./Fax: +55-21-3938-2111
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