scholarly journals MANAGEMENT OF ENDOCRINE DISEASE: Personalized medicine in the treatment of acromegaly

2018 ◽  
Vol 178 (3) ◽  
pp. R89-R100 ◽  
Author(s):  
Leandro Kasuki ◽  
Luiz Eduardo Wildemberg ◽  
Mônica R Gadelha
Keyword(s):  
Personalized Medicine ◽  
First Generation ◽  
Somatostatin Receptor ◽  
Current Status ◽  
High Morbidity ◽  
Trial And Error ◽  
Receptor Ligands ◽  
Endocrine Disease ◽  
Somatostatin Receptor Ligands ◽  
Personalized Approach

Acromegaly is associated with high morbidity and elevated mortality when not adequately treated. Surgery is the first-line treatment for most patients as it is the only one that can lead to immediate cure. In patients who are not cured by surgery, treatment is currently based on a trial-and-error approach. First-generation somatostatin receptor ligands (fg-SRL) are initiated for most patients, although approximately 25% of patients present resistance to this drug class. Some biomarkers of treatment outcome are described in the literature, with the aim of categorizing patients into different groups to individualize their treatments using a personalized approach. In this review, we will discuss the current status of precision medicine for the treatment of acromegaly and future perspectives on the use of personalized medicine for this purpose.

MRI follow‐up of patients with acromegaly treated after surgery with first‐generation somatostatin receptor ligands

2021 ◽  
Author(s):  
Naia Grandgeorge ◽  
Giovanni Barchetti ◽  
Solange Grunenwald ◽  
Fabrice Bonneville ◽  
Philippe Caron
Keyword(s):  
First Generation ◽  
Somatostatin Receptor ◽  
Receptor Ligands ◽  
Somatostatin Receptor Ligands

scholarly journals The future of somatostatin receptor ligands in acromegaly

2021 ◽  
Author(s):  
Monica R Gadelha ◽  
Luiz Eduardo Wildemberg ◽  
Leandro Kasuki
Keyword(s):  
Precision Medicine ◽  
First Generation ◽  
Somatostatin Receptor ◽  
New Drugs ◽  
Response To Treatment ◽  
Tumor Shrinkage ◽  
Receptor Ligands ◽  
Biochemical Control ◽  
Somatostatin Receptor Ligands ◽  
The Future

Abstract Currently, 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.

Machine Learning-based Prediction Model for Treatment of Acromegaly With First-generation Somatostatin Receptor Ligands

2021 ◽  
Author(s):  
Luiz Eduardo Wildemberg ◽  
Aline Helen da Silva Camacho ◽  
Renan Lyra Miranda ◽  
Paula C L Elias ◽  
Nina R de Castro Musolino ◽  
...  
Keyword(s):  
Machine Learning ◽  
Support Vector Machine ◽  
Prediction Model ◽  
Predictive Value ◽  
First Generation ◽  
Somatostatin Receptor ◽  
Support Vector ◽  
Receptor Ligands ◽  
Somatostatin Receptor Ligands ◽  
Igf I

Abstract Context Artificial intelligence (AI), in particular machine learning (ML), may be used to deeply analyze biomarkers of response to first-generation somatostatin receptor ligands (fg-SRLs) in the treatment of acromegaly. Objective To develop a prediction model of therapeutic response of acromegaly to fg-SRL. Methods Patients with acromegaly not cured by primary surgical treatment and who had adjuvant therapy with fg-SRL for at least 6 months after surgery were included. Patients were considered controlled if they presented growth hormone (GH) <1.0 ng/mL and normal age-adjusted insulin-like growth factor (IGF)-I levels. Six AI models were evaluated: logistic regression, k-nearest neighbor classifier, support vector machine, gradient-boosted classifier, random forest, and multilayer perceptron. The features included in the analysis were age at diagnosis, sex, GH, and IGF-I levels at diagnosis and at pretreatment, somatostatin receptor subtype 2 and 5 (SST2 and SST5) protein expression and cytokeratin granulation pattern (GP). Results A total of 153 patients were analyzed. Controlled patients were older (P = .002), had lower GH at diagnosis (P = .01), had lower pretreatment GH and IGF-I (P < .001), and more frequently harbored tumors that were densely granulated (P = .014) or highly expressed SST2 (P < .001). The model that performed best was the support vector machine with the features SST2, SST5, GP, sex, age, and pretreatment GH and IGF-I levels. It had an accuracy of 86.3%, positive predictive value of 83.3% and negative predictive value of 87.5%. Conclusion We developed a ML-based prediction model with high accuracy that has the potential to improve medical management of acromegaly, optimize biochemical control, decrease long-term morbidities and mortality, and reduce health services costs.

scholarly journals gsp Mutation Is Not a Molecular Biomarker of Long-Term Response to First-Generation Somatostatin Receptor Ligands in Acromegaly

Cancers ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 4857
Author(s):  
Luiz Eduardo Wildemberg ◽  
Daniel Henriques ◽  
Paula C. L. Elias ◽  
Carlos Henrique de A. Lima ◽  
Nina R. de Castro Musolino ◽  
...  
Keyword(s):  
First Generation ◽  
Somatostatin Receptor ◽  
Receptor Ligands ◽  
Biochemical Control ◽  
Molecular Biomarker ◽  
Α Subunit ◽  
Cavernous Sinus Invasion ◽  
Somatostatin Receptor Ligands ◽  
Term Response

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.

scholarly journals Pasireotide in the Personalized Treatment of Acromegaly

2021 ◽  
Vol 12 ◽  
Author(s):  
Manel Puig-Domingo ◽  
Ignacio Bernabéu ◽  
Antonio Picó ◽  
Betina Biagetti ◽  
Joan Gil ◽  
...  
Keyword(s):  
First Generation ◽  
Somatostatin Receptor ◽  
Receptor Ligands ◽  
First Line ◽  
First Line Therapy ◽  
Somatostatin Receptor Ligands ◽  
Therapeutic Algorithm ◽  
Surgical Failure ◽  
Positive Effect ◽  
T2 Mri

The delay in controlling the disease in patients who do not respond to first-line treatment with first generation somatostatin receptor ligands (first-generation SRLs) can be quantified in years, as every modification in the medical therapy requires some months to be fully evaluated. Considering this, acromegaly treatment should benefit from personalized medicine therapeutic approach by using biomarkers identifying drug response. Pasireotide has been positioned mostly as a compound to be used in first-generation SRLs resistant patients and after surgical failure, but sufficient data are now available to indicate it is a first line therapy for patients with certain characteristics. Pasireotide has been proved to be useful in patients in which hyperintensity T2 MRI signal is shown and in those depicting low SST2 and high expression of SST5, low or mutated AIP condition and sparsely granulated immunohistochemical pattern. This combination of clinical and pathological characteristics is unique for certain patients and seems to cluster in the same cases, strongly suggesting an etiopathogenic link. Thus, in this paper we propose to include this clinico-pathologic phenotype in the therapeutic algorithm, which would allow us to use as first line medical treatment those compounds with the highest potential for achieving the fastest control of GH hypersecretion as well as a positive effect upon tumor shrinkage, therefore accelerating the implementation of precision medicine for acromegaly. Moreover, we suggest the development, validation and clinical use of a pasireotide acute test, able to identify patients responsive to pasireotide LAR as the acute octreotide test is able to do for SRLs.

First-generation somatostatin receptor ligands and pregnancy: lesson from women with acromegaly

Endocrine ◽  
2020 ◽  
Vol 70 (2) ◽  
pp. 396-403
Author(s):  
Magaly Vialon ◽  
Solange Grunenwald ◽  
Céline Mouly ◽  
Delphine Vezzosi ◽  
Antoine Bennet ◽  
...  
Keyword(s):  
First Generation ◽  
Somatostatin Receptor ◽  
Receptor Ligands ◽  
Somatostatin Receptor Ligands

scholarly journals MON-311 Glucose Metabolism in Acromegaly Patients Resistant to First Generation Somatostatin Receptor Ligands Treated with Pegvisomant And/Or Pasireotide Lar

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Sabrina Chiloiro ◽  
Antonella Giampietro ◽  
Antonio Bianchi ◽  
Felicia Visconti ◽  
Anna Maria Formenti ◽  
...  
Keyword(s):  
Glucose Metabolism ◽  
First Generation ◽  
Systemic Disease ◽  
Somatostatin Receptor ◽  
High Growth ◽  
Study Entry ◽  
Close Monitoring ◽  
Receptor Ligands ◽  
Somatostatin Receptor Ligands ◽  
Igf I

Abstract Introduction: Acromegaly (Acro) is a systemic disease characterized by high growth hormone (GH) and insulin like growth factor-I (IGF-I), insulin resistance, glucose intolerance (IGT) and higher diabetes mellitus (DM) risk in 15% - 38% of patients (pts). Moreover, different medical therapies of Acro are reported to have variable effects on glucose metabolism. An association between blood glucose (BG) and serum IGF-I levels in patients with DM and Acro has been suggested, while IGF-I levels and hemoglobin A1c (HbA1c) correlation is still controversial because of the multifactorial influence.Study aim: to investigate glucose metabolism in pts with Acro resistant to 1st gen somatostatin receptor ligands (SRLs) treated with Pegvisomant (Peg) or Pasireotide LAR (Pasi). Patients and Methods: Retrospective, international, multicenter study; consecutive pts enrolled according to following inclusion criteria for at least 6 consecutive months: (1) resistant to 1st gen SRLs, (2) treated with Pasi or Peg for active Acro. Patients with concomitant treatments with known action on glucose metabolism were excluded, with the exception of glucocorticoid replacement for central hypoadrenalism. Results: 72 pts with active Acro, mean age at study entry 37 ±15 yrs, 47 females (65.3%). 28 (38.9%) pts were treated with Pasi and 44 pts with Peg (61.1%). Peg was monotherapy in 18 pts (40.9%) and in combo with first generation SRLs for 26 pts (59.1%). The number of pts with IGT and DM2 was superimposable between the 2 groups (Pasi and Peg). In Pasi group, 19 pts had Acro control (67.9%); glucose metabolism worsened in 16 pts (57.1%). Worsening of glucose metabolism occurred most frequently in pts with persistently active Acro (62.5%) and in pts with higher BG and HbA1c values at study start. Similarly, HbA1c was higher in pts with active Acro, although HbA1c worsened during Pasi treatment both in euglycemic and IGT at study entry, regardless of Acro control. In Peg group, 31 pts reached Acro control (73%); glucose metabolism worsened in 12 (27.3%) but improved in 5 pts (11.4%). All pts who experienced glucose metabolism improvement had controlled Acro, regardless of the use of a combo with first generation SRL. Among the 13 pts with active Acro after Peg, BG worsened in 5 cases (38.4%). Moreover, we found that pts with worsening BG control had higher HbA1c (p=0.03) and required higher Peg doses (mean ±SD 25 ±10 mg/day; p=0.04). Patients with higher HbA1c had higher IGF-I, both at study entry and at study end and were treated with higher Peg dose (mean 25 mg/day). Conclusion: Impaired glucose metabolism was more frequent after Pasireotide treatment and in patients of both Pasireotide and Pegvisomant groups with altered pre-treatment glucose and persistently active disease. Therefore, in such acromegaly patients close monitoring of glucose status is recommended during treatment.

scholarly journals Multivariable Prediction Model for Biochemical Response to First-Generation Somatostatin Receptor Ligands in Acromegaly

2020 ◽  
Vol 105 (9) ◽  
pp. 2964-2974 ◽  
Author(s):  
Eva C Coopmans ◽  
Tim I M Korevaar ◽  
Sebastiaan W F van Meyel ◽  
Adrian F Daly ◽  
Philippe Chanson ◽  
...  
Keyword(s):  
Partial Response ◽  
First Generation ◽  
Meta Analysis ◽  
Somatostatin Receptor ◽  
Biochemical Response ◽  
Receptor Ligands ◽  
Clinical Predictors ◽  
Younger Patients ◽  
Somatostatin Receptor Ligands ◽  
Multivariable Regression Models

Abstract Context First-generation somatostatin receptor ligands (fg-SRLs) represent the mainstay of medical therapy for acromegaly, but they provide biochemical control of disease in only a subset of patients. Various pretreatment biomarkers might affect biochemical response to fg-SRLs. Objective To identify clinical predictors of the biochemical response to fg-SRLs monotherapy defined as biochemical response (insulin-like growth factor (IGF)-1 ≤ 1.3 × ULN (upper limit of normal)), partial response (&gt;20% relative IGF-1 reduction without normalization), and nonresponse (≤20% relative IGF-1 reduction), and IGF-1 reduction. Design Retrospective multicenter study. Setting Eight participating European centers. Methods We performed a meta-analysis of participant data from 2 cohorts (Rotterdam and Liège acromegaly survey, 622 out of 3520 patients). Multivariable regression models were used to identify predictors of biochemical response to fg-SRL monotherapy. Results Lower IGF-1 concentration at baseline (odds ratio (OR) = 0.82, 95% confidence interval (CI) 0.72–0.95 IGF-1 ULN, P = .0073) and lower bodyweight (OR = 0.99, 95% CI 0.98–0.99 kg, P = .038) were associated with biochemical response. Higher IGF-1 concentration at baseline (OR = 1.40, (1.19–1.65) IGF-1 ULN, P ≤ .0001), the presence of type 2 diabetes (oral medication OR = 2.48, (1.43–4.29), P = .0013; insulin therapy OR = 2.65, (1.02–6.70), P = .045), and higher bodyweight (OR = 1.02, (1.01–1.04) kg, P = .0023) were associated with achieving partial response. Younger patients at diagnosis are more likely to achieve nonresponse (OR = 0.96, (0.94–0.99) year, P = .0070). Baseline IGF-1 and growth hormone concentration at diagnosis were associated with absolute IGF-1 reduction (β = 0.90, standard error (SE) = 0.02, P ≤ .0001 and β  = 0.002, SE = 0.001, P = .014, respectively). Conclusion Baseline IGF-1 concentration was the best predictor of biochemical response to fg-SRL, followed by bodyweight, while younger patients were more likely to achieve nonresponse.

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