First Oral Therapy for Rare Adrenal Gland Tumors Gets Green Light From FDA

FDA approval for Welireg.

The FDA has expanded the approval of belzutifanopens in a new tab or window (Welireg) to include certain types of pheochromocytoma or paraganglioma (PPGL) in adults and children.

The action establishes belzutifan as the only approved oral therapy for PPGL. The approval stipulates use in adults and children 12 years or older with locally advanced, unresectable, or metastatic PPGL.

Support for the approval came from the LITESPARK-015opens in a new tab or window multi-cohort trial. Cohort A1 involved 72 patients with locally advanced or metastatic PPGL not amenable to surgery or curative treatment. Patients with concomitant hypertension adequately managed with blood pressure medication were required to have stable therapy for at least 2 weeks prior to enrollment.

The primary outcome was objective response rate (ORR). Secondary outcomes included duration of response (DOR) and number of patients with at least a 50% dose reduction for one or more antihypertensive medications for at least 6 months.

The results showed an ORR of 26% and a median DOR of 20.4 months. Additionally, 19 of 60 patients on baseline antihypertensive medications met the prespecified dose-reduction target.

Adverse reactions occurring in ≥25% of patients included anemia; fatigue; musculoskeletal pain; increased liver enzymes, calcium, potassium, and alkaline phosphatase; decreased lymphocytes and leukocytes; dyspnea; headache; dizziness; and nausea.

PPGLs comprise a group of rare neuroendocrine tumorsopens in a new tab or window that have an incidence of approximately 0.57 per 100,000 person-years. The tumors occur in 0.1% t0 0.6% of patients with hypertension and account for about 5% of adrenal incidentalomas.

A hypoxia-inducible factor-2α inhibitor, belzutifan previously received approval for advanced renal cell carcinomaopens in a new tab or window and certain subtypes of von Hippel-Lindau diseaseopens in a new tab or window.

Charles Bankhead is senior editor for oncology and also covers urology, dermatology, and ophthalmology. He joined MedPage Today in 2007. Follow 

From https://www.medpagetoday.com/hematologyoncology/othercancers/115582

Osilodrostat Treatment for Adrenal and Ectopic Cushing Syndrome

Integration of Clinical Studies With Case Presentations

Maria Fleseriu, Richard J Auchus, Irina Bancos, Beverly MK Biller
Journal of the Endocrine Society, Volume 9, Issue 4, April 2025, bvaf027
https://doi.org/10.1210/jendso/bvaf027

Abstract

Although most cases of endogenous Cushing syndrome are caused by a pituitary adenoma (Cushing disease), approximately one-third of patients present with ectopic or adrenal causes.

Surgery is the first-line treatment for most patients with Cushing syndrome; however, medical therapy is an important management option for those who are not eligible for, refuse, or do not respond to surgery.

Clinical experience demonstrating that osilodrostat, an oral 11β-hydroxylase inhibitor, is effective and well tolerated comes predominantly from phase III trials in patients with Cushing disease. Nonetheless, reports of its use in patients with ectopic or adrenal Cushing syndrome are increasing. These data highlight the importance of selecting the most appropriate starting dose and titration frequency while monitoring for adverse events, including those related to hypocortisolism and prolongation of the QT interval, to optimize treatment outcomes. Here we use illustrative case studies to discuss practical considerations for the management of patients with ectopic or adrenal Cushing syndrome and review published data on the use of osilodrostat in these patients.

The case studies show that to achieve the goal of reducing cortisol levels in all etiologies of Cushing syndrome, management should be individualized according to each patient’s disease severity, comorbidities, performance status, and response to treatment. This approach to osilodrostat treatment maximizes the benefits of effective cortisol control, leads to improvements in comorbid conditions, and may ameliorate quality of life for patients across all types and severities of Cushing syndrome.

Read the article

 

From https://www.endocrine.org/journals/journal-of-the-endocrine-society/osilodrostat-treatment-for-adrenal-and-ectopic-cushing-syndrome

The Impact of Prolonged High-Concentration Cortisol Exposure on Cognitive Function and Risk Factors: Evidence From Cushing’s Disease Patients

Abstract

Background

Prolonged high-concentration cortisol exposure may impair cognitive function, but its mechanisms and risk factors remain unclear in humans.

Objective

Using Cushing’s disease patients as a model, this study explores these effects and develops a predictive model to aid in managing high-risk patients.

Methods

This single-center retrospective study included 107 Cushing’s disease patients (January 2020–January 2024) at the First Medical Center of the PLA General Hospital. Cognitive function, assessed using the Montreal Cognitive Assessment, revealed 58 patients with cognitive impairment and 49 with normal cognitive function. Patients were divided into training (n = 53) and validation cohorts (n = 54) for constructing and validating the predictive model. Risk factors were identified via univariate analysis and least absolute shrinkage and selection operator regression, and a nomogram prediction model was developed. Performance was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA).

Results

Cortisol AM/PM ratio, 8 a.m. cortisol concentration, body mass index, and fasting plasma glucose were significant risk factors for cognitive impairment. The nomogram demonstrated strong predictive ability, with ROC values of 0.80 (training) and 0.91 (validation). DCA indicated superior clinical utility compared to treating all or no patients.

Conclusions

This study confirms the significant impact of prolonged high cortisol exposure on cognitive function and identifies key risk factors. The nomogram model offers robust performance, providing a valuable tool for managing Cushing’s disease patients’ cognitive health and informing strategies for other cortisol-related disorders.

Introduction

Chronic stress and prolonged pressure increasingly pose significant burdens on individual health and social systems, particularly on a global scale. Their impact on cognitive function, mental health, and physical well-being cannot be ignored.1 Long-term stress responses and sustained exposure to pressure not only elevate the risk of multiple diseases but also result in considerable socioeconomic burdens. According to the World Health Organization (WHO), approximately 300 million people worldwide suffer from depression, with stress and emotional disorders being critical contributing factors.2 This phenomenon may be associated with prolonged exposure to high concentrations of cortisol induced by chronic stress.3 Such long-term elevated cortisol exposure is thought to exert adverse effects on multiple systems, including the nervous system, leading to anxiety, depression, and cognitive impairment. While the roles of anxiety and depression have been well established,4 the specific impact on cognitive function remains unclear.
Research suggests that abnormally elevated cortisol levels significantly affect brain structure and function. The hippocampus, a key target highly sensitive to cortisol and central to learning and memory, is particularly affected. High cortisol exerts its effects through glucocorticoid receptors and mineralocorticoid receptors in the hippocampus, mediating neurophysiological responses. Prolonged activation may lead to neuronal damage, reduced neuroplasticity, and cognitive impairment.5,6 Additionally, brain regions such as the prefrontal cortex and amygdala are also impacted, potentially causing attentional deficits, impaired executive function, and emotional regulation disturbances.7 Furthermore, abnormal diurnal cortisol rhythms are closely linked to neuroinflammation, oxidative stress, and cerebrovascular lesions.8,9 These mechanisms may interact synergistically to exacerbate cognitive impairment. While animal studies provide substantial evidence for cortisol’s effects on cognitive function, human studies face ethical constraints and experimental limitations. The lack of models for long-term stress and pressure in humans, coupled with challenges in conducting long-term follow-ups, highlights the need for suitable research subjects.
Cushing’s disease is an endocrine disorder caused by excess adrenocorticotropic hormone (ACTH) secretion by anterior pituitary adenomas, leading to abnormally elevated cortisol levels.10 The unique pathological features of Cushing’s disease offer a natural model for studying the effects of prolonged high cortisol exposure on human cognitive function. Patients with Cushing’s disease often experience cognitive impairments, with clinical manifestations including memory decline, attention deficits, and impaired executive function.1113 However, the specific mechanisms and risk factors underlying these impairments remain unclear.
Against this backdrop, this study uses Cushing’s disease patients as subjects to systematically evaluate the impact of prolonged high cortisol exposure on cognitive function and analyze associated risk factors. Additionally, we develop a nomogram prediction model aimed at improving the identification of high-risk patients, providing a reference for clinical interventions, and offering new perspectives and evidence for the cognitive management and research of cortisol-related disorders.

Methods

Study subjects

This study is a single-center retrospective study that included 107 patients diagnosed with Cushing’s disease at the First Medical Center of the PLA General Hospital between January 2017 and January 2024. Inclusion criteria were as follows: (i) meeting the WHO diagnostic criteria for Cushing’s disease; (ii) disease duration >3 months; (iii) no prior surgical treatment; (iv) complete laboratory and imaging data; (v) no other neurological or psychiatric disorders that could cause cognitive impairment (e.g., dementia, depression, stroke). Exclusion criteria included: (i) disease duration ❤ months; (ii) prior surgical treatment; (iii) missing critical baseline or laboratory data; (iv) severe visual or hearing impairments that could affect cognitive testing results. A total of 107 patients were included in the study, among whom 58 had cognitive impairment and 49 exhibited mild cognitive decline. Cognitive function was classified as follows: Montreal Cognitive Assessment (MoCA) score ≤26 was defined as cognitive impairment, 27–29 as mild cognitive decline, and 30 as normal cognitive function.

Study design

A random allocation method was used to divide all patients into a training cohort (n = 53) and a validation cohort (n = 54) at a 5:5 ratio. The training cohort was used for variable selection and predictive model development, while the validation cohort was used for performance evaluation of the model. The study was approved by the hospital ethics committee (approval number: [S2021-677-01]).

Clinical data collection

Clinical characteristics and laboratory data of patients were obtained from the hospital’s electronic medical record system and included the following: (i) Demographic and clinical characteristics: age, sex, disease duration, years of education, body mass index (BMI), systolic blood pressure, and diastolic blood pressure; (ii) Laboratory indicators: fasting plasma glucose (FPG), 24-h urinary free cortisol, serum cortisol concentrations (0 a.m., 8 a.m., 4 p.m.), ACTH concentrations (0 a.m., 8 a.m., 4 p.m.), total cholesterol, triglycerides, alanine aminotransferase, aspartate aminotransferase, gamma-glutamyl transferase, cortisol AM/PM ratio (CORT AM/PM), and results of low-dose dexamethasone suppression tests and high-dose dexamethasone suppression tests; (iii) Cognitive function assessment: conducted using the MoCA scale.

Statistical analysis and model development

Categorical variables were expressed as numbers (%), and continuous variables as mean ± standard deviation (SD) or median (interquartile range, IQR). Intergroup comparisons were performed using the chi-square test or Fisher’s exact test for categorical variables. A nomogram was constructed to predict the risk factors for cognitive impairment in patients exposed to prolonged high cortisol levels. Significant clinical features associated with cognitive function were identified through univariate analysis and least absolute shrinkage and selection operator (LASSO) regression analysis.
Based on the final results, a novel nomogram was developed, incorporating all independent prognostic factors to predict the presence or absence of cognitive impairment in individuals exposed to prolonged high cortisol levels. The performance of the nomogram was evaluated using the concordance index (C-index), area under the receiver operating characteristic (ROC) curve (AUC), calibration curves, and decision curve analysis (DCA). The C-index was calculated using 1,000 bootstrap samples to assess the internal validity of the model. Each patient’s total score was calculated using the nomogram approach.
Statistical analysis was performed using R programming language and version 4.2.3 of the R environment (http://cran.r-project.org). The main R packages used in this study included gtsummary (version 1.7.0), survival (version 3.5-3), RMS (version 6.3-0), time ROC (version 0.4), and ggplot2 (version 3.4.0).

Results

Patient characteristics

A total of 107 patients with Cushing’s disease were included in this study. MoCA scores revealed that all patients exhibited either cognitive decline or impairment. Among them, 58 patients (54.2%) were classified into the cognitive impairment group, and 49 patients (45.8%) were categorized into the cognitive decline group. Significant differences were observed in demographic characteristics and clinical indicators between the two groups. Detailed information is presented in Table 1.
Table 1. General characteristics of patients.
Variables Total (n = 107) 0 (n = 49) 1 (n = 58) p
sex, n (%) 1
1 10 (9) 5 (10) 5 (9)
2 97 (91) 44 (90) 53 (91)
age, Mean ± SD 41.22 ± 11.19 39.16 ± 11.21 42.97 ± 10.96 0.08
Education y, Median (Q1,Q3) 12 (8, 16) 12 (8, 16) 12 (8.25, 15) 0.835
BMI, Mean ± SD 27.01 ± 3.46 25.49 ± 2.25 28.29 ± 3.79 <0.001
Illness duration, Median (Q1,Q3) 26 (12, 48) 24 (12, 48) 33 (12, 48) 0.6
COR-0am, Mean ± SD 565.86 ± 207.53 513.69 ± 185.87 609.94 ± 216.06 0.015
COR-8am, Mean ± SD 725.63 ± 259.03 612.26 ± 197.79 821.41 ± 267.29 <0.001
COR-4pm, Median (Q1,Q3) 619.19 (491.14, 744.17) 598.3 (472.49, 678.18) 650.43 (503.34, 803.88) 0.109
ACTH0am, Median (Q1,Q3) 12.4 (9.02, 18.4) 11 (8.46, 17.2) 13.95 (9.57, 19.51) 0.114
ACTH8am, Median (Q1,Q3) 15.2 (11.1, 23.5) 13.3 (10.6, 19.4) 17.4 (13.33, 26.27) 0.027
ACTH4pm, Median (Q1,Q3) 15.9 (10.45, 22.75) 13.6 (10.4, 22.6) 16.6 (10.95, 25.15) 0.275
UFC, Median (Q1,Q3) 1644.9 (1146.2, 2501.75) 1483 (1092.3, 2020.6) 1931 (1168.85, 2793.02) 0.131
LDDST-ACTH, Median (Q1,Q3) 16.9 (9.31, 21.15) 16.1 (8.35, 20.6) 17.25 (10.12, 21.17) 0.555
LDDST-CORT, Median (Q1,Q3) 532.95 (390.46, 787.61) 501.63 (360.4, 792.18) 568.37 (398.76, 781.7) 0.606
LDDST-UFC, Median (Q1,Q3) 1050.8 (531.9, 2077.2) 880.6 (454.4, 2419.9) 1200 (580.62, 2010.23) 0.589
HDDST-ACTH, Median (Q1,Q3) 8.81 (5.2, 15.7) 8.48 (4.91, 16.6) 9.12 (5.42, 14.45) 0.837
HDDST-CORT, Median (Q1,Q3) 222.3 (62.41, 354.31) 222.3 (61.7, 348.84) 217.56 (76.25, 356.78) 0.662
HDDST-UFC, Median (Q1,Q3) 336.9 (130.9, 870.86) 281.2 (128.4, 791.7) 391.4 (140.25, 923.43) 0.488
SBP, Mean ± SD 159.09 ± 26.08 157.76 ± 26.67 160.22 ± 25.75 0.629
DBP, Median (Q1,Q3) 105 (92, 116.5) 105 (90, 119) 102.5 (94.5, 114) 0.927
TC, Median (Q1,Q3) 5.13 (4.46, 6.17) 4.92 (4.47, 5.72) 5.24 (4.44, 6.31) 0.386
TG, Median (Q1,Q3) 1.42 (0.99, 2.04) 1.39 (0.99, 2.41) 1.42 (0.99, 1.97) 0.861
ALT, Median (Q1,Q3) 23 (17.55, 33.7) 20.7 (15.8, 33) 23.85 (18.45, 34.3) 0.35
AST, Median (Q1,Q3) 15.2 (13, 18.5) 14.1 (12.7, 18.5) 16.35 (13.62, 18.45) 0.184
GGT, Median (Q1,Q3) 27.6 (21.75, 44.25) 26.7 (22.6, 45.9) 28.95 (21.32, 41.9) 0.913
FPG, Median (Q1,Q3) 7.62 (5.43, 9.66) 5.7 (4.83, 7.49) 8.95 (7.05, 10) <0.001
CORT AM/PM, Median (Q1,Q3) 1.19 (0.99, 1.34) 1.05 (0.88, 1.2) 1.25 (1.15, 1.4) <0.001
ACTH: adrenocorticotropic hormone; ALT: alanine aminotransferase; AST: aspartate aminotransferase; BMI, body mass index; COR/CORT: cortisol; DBP: diastolic blood pressure; FPG: fasting plasma glucose; GGT: gamma-glutamyl transferase; HDDST: high-dose dexamethasone suppression tests; LDDST: low-dose dexamethasone suppression tests; SBP: systolic blood pressure; TC: total cholesterol; TG: triglycerides; UFC: urinary free cortisol.

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Model development

In the modeling cohort, LASSO regression analysis was used for variable selection. The regression coefficient path diagram and cross-validation curve are shown in Figure 1A and 1B. To ensure a good model fit, the λ corresponding to the minimum mean squared error was chosen through cross-validation. Four variables were identified through LASSO regression analysis: CORT AM/PM, COR-8am, FPG, and BMI. These variables were ultimately deemed risk factors for cognitive impairment associated with prolonged high cortisol exposure. Based on these four significant variables, a nomogram was developed to predict cognitive impairment under prolonged high cortisol exposure, and the model was visualized using a nomogram (Figure 2).
Figure 1. LASSO Cox regression model construction. (A) LASSO coefficient of 27 features. (B) Selection of tuning parameter (k) for the LASSO model.

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Figure 2. Nomogram predicting cognitive impairment in patients with prolonged high cortisol exposure.

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Model performance and validation

To comprehensively evaluate the model’s performance, multiple metrics were employed to verify its accuracy, stability, and clinical utility, including the concordance index (C-index), AUC, calibration curves, and DCA. The AUC values for the training cohort (Figure 3A) and the internal validation cohort (Figure 3B) were 0.80 and 0.91, respectively. These results indicate that the nomogram model effectively distinguishes patients with cognitive impairment in different sample datasets and demonstrates strong predictive accuracy. Calibration curves showed a high level of agreement between the predicted and actual probabilities of cognitive impairment in both the training cohort (Figure 4A) and the validation cohort (Figure 4B), further confirming the model’s stability and utility.
Figure 3. The ROC curve of the predictive model for cognitive impairment in patients with prolonged high cortisol exposure. (A) Derivation cohort. (B) Validation cohort.

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Figure 4. Calibration curves of the nomogram. (A) Derivation cohort. (B) Validation cohort.

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To assess the clinical utility of the model, DCA was performed (Figure 5). The results demonstrated that the clinical benefit of using the model to predict cognitive impairment was significantly higher than strategies of treating all patients or treating none (Figure 5). This finding suggests that the nomogram model provides substantial net benefit in clinical decision-making, effectively aiding clinicians in identifying high-risk patients and implementing appropriate interventions.
Figure 5. DCA curves of the nomogram in the training cohort and test cohort.

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Discussion

This study used patients with Cushing’s disease as a model to investigate the effects of prolonged high-concentration cortisol exposure on human cognitive function. The findings revealed that individuals exposed to long-term high cortisol levels generally experienced cognitive decline, with the CORT AM/PM, COR-8am, BMI, and FPG identified as major risk factors for cognitive impairment. Additionally, the developed nomogram model demonstrated excellent predictive performance in both the training (AUC = 0.80) and validation (AUC = 0.91) cohorts, highlighting its strong discriminative ability and clinical utility. These findings provide a foundation for mechanistic research and clinical management of prolonged high cortisol exposure.
BMI, FPG, CORT AM/PM, and COR-8am, as risk factors, are closely related to cortisol levels and its effects on the nervous system. Increased BMI was identified as an independent risk factor for cognitive impairment, likely due to chronic inflammation and oxidative stress caused by metabolic disorders.1416 Obesity and elevated cortisol levels may form a vicious cycle, further exacerbating damage to the nervous system. Studies have shown that reduced cerebral blood flow and neuronal damage in obese individuals are directly linked to cognitive impairment,17 underscoring the importance of monitoring metabolic status in Cushing’s disease patients. High blood glucose was another critical risk factor, potentially affecting cognitive function through various mechanisms: prolonged hyperglycemia can lead to cerebrovascular damage and impaired blood supply to the brain;18 it may also directly harm neurons through oxidative stress and inflammatory responses.19 Moreover, chronic hyperglycemia alters insulin signaling pathways, disrupting glucose metabolism in the brain and further aggravating cognitive decline.20 Additionally, the study showed that disrupted cortisol circadian rhythms (elevated CORT AM/PM) and increased morning cortisol peaks (COR-8am) were closely associated with cognitive impairment. Circadian rhythm disruption may accelerate hippocampal atrophy and prefrontal cortex dysfunction by affecting the regulation of the hypothalamic-pituitary-adrenal (HPA) axis.21 Excessive morning cortisol peaks may exacerbate neuroinflammation and synaptic dysfunction,22 a finding also supported by previous animal studies.
Cushing’s disease serves as an effective model for studying high cortisol states induced by chronic stress, given the high similarity in pathophysiological mechanisms between the two. Cushing’s disease results from tumor-induced HPA axis hyperactivation, causing sustained cortisol overproduction,23 while chronic stress similarly activates the HPA axis, maintaining cortisol at persistently high levels. Although the etiology of Cushing’s disease is endogenous and pathological, whereas high cortisol in chronic stress is environmentally induced, both share similar features such as metabolic disturbances (e.g., insulin resistance, central obesity), immunosuppression (e.g., increased infection susceptibility), osteoporosis, and psychological disorders (e.g., anxiety and depression).24 Therefore, Cushing’s disease provides an effective model for studying metabolic, immune, and neurological changes in high cortisol states, offering experimental evidence for understanding chronic stress-related disorders and developing intervention strategies.
The results of this study align with previous animal experiments. For instance, animal studies have shown that prolonged cortisol exposure leads to hippocampal atrophy and neuronal damage, impairing cognitive function.25 This study provides supportive evidence in human samples. Furthermore, prior research has found that disrupted cortisol circadian rhythms are often associated with executive function decline in patients with depression,26 consistent with our findings that CORT AM/PM is significantly associated with cognitive impairment in Cushing’s disease patients. Unlike earlier studies focusing primarily on cortisol’s direct neurotoxic effects, this study integrated metabolic indicators (e.g., BMI, FPG) to comprehensively analyze the interaction between cortisol and metabolic disturbances, expanding the understanding of mechanisms underlying cortisol-induced cognitive impairment.
Moreover, unlike previous research that was predominantly based on animal models, this study systematically analyzed data from 107 Cushing’s disease patients, further validating these mechanisms in humans. The construction of the nomogram model significantly enhanced predictive accuracy, providing a practical tool for clinical application.
Despite providing important evidence for the impact of prolonged high cortisol exposure on cognitive function, this study has limitations. First, as a single-center retrospective study with a limited sample size, the results may lack generalizability and require prospective validation. Although Cushing’s disease serves as a model for high cortisol exposure, further validation in populations experiencing chronic stress or prolonged pressure is needed. Second, the lack of long-term follow-up data prevents evaluation of the effects of surgical treatment or other interventions on cognitive function. Third, this study did not consider the impact of sex hormones on cortisol levels and cognitive function. Sex hormones (such as estrogen and testosterone) may regulate cortisol and influence the central nervous system.

Conclusion

This study, using patients with Cushing’s disease as a model, explored the impact of prolonged high-concentration cortisol exposure on human cognitive function. The findings revealed that individuals with prolonged high cortisol exposure commonly experience cognitive decline, with CORT AM/PM, COR-8am, BMI, and FPG identified as major risk factors for cognitive impairment. The nomogram model developed based on these risk factors demonstrated excellent predictive performance and clinical applicability in both the training and validation cohorts, providing an effective tool for the early identification of high-risk patients. These results not only confirmed the significant impact of prolonged high cortisol exposure on the central nervous system but also highlighted the critical role of metabolic factors in this process, emphasizing the multifactorial mechanisms of cognitive impairment. These findings offer a scientific basis for managing the cognitive health of Cushing’s disease patients and provide important insights for prevention and treatment strategies for other cortisol-related conditions, such as chronic stress and metabolic syndrome.

Acknowledgments

We thank the patient for granting permission to publish this information. We appreciate all the team members who have shown concern and provided treatment advice for this patient the Chinese People’s Liberation Army (PLA) General Hospital.

Ethical considerations

This study was approved by the Ethics Committee of the Chinese PLA General Hospital (Approval No. [S2021-67701]).

Consent to participate

All participants provided written informed consent prior to inclusion in the study.

Declaration of conflicting interests

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the National Natural Science Foundation of China (Grant Nos. 82001798 to Xinguang Yu; Grant Nos. 81871087 to Yanyang Zhang) and the Young Talent Project of Chinese PLA General Hospital (Grant Nos. 20230403 to Yanyang Zhang).

ORCID iDs

Data availability statement

Data are available from the corresponding authors on reasonable request.

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Connecting Canine and Human Health to Fight Cushing’s Disease

Cushing’s Disease is common in dogs but rare and hard to diagnose in people. That’s why University of Georgia researchers are leveraging canine treatments to find new solutions to battle the condition in humans. This collaboration between veterinary medicine and human health care is just one example of how UGA uses a Precision One Health approach to find and tailor new medical treatments for people and animals.

~~~

Imagine your body as a well-run newsroom. Each day, the editor-in-chief—in this case, the pituitary gland—provides assignments, keeping everything running smoothly. One day, however, the editor’s role is usurped by a rogue reporter who declares breaking news nonstop, flooding the newsroom with bulletins and sending everyone into overdrive.

This is a bit like Cushing’s Disease. The rogue reporter is a tiny, usually benign tumor, the stress bulletins cortisol. The newsroom—your body—responds with metabolic fluctuations, burnt out muscles, emotional distress, and more. Over the long haul, Cushing’s Disease can cause lasting deterioration of the body: osteoporosis, muscle weakness, high blood pressure and heart disease, diabetes, memory and mood issues, fatigue, and more.

It’s a common disease and easier to detect in canines. In people, however, it is rare and difficult to diagnose. University of Georgia researchers are leveraging canine treatments to find new solutions to battle the condition in humans.

This collaboration between veterinary medicine and human health is just one example of how UGA uses a Precision One Health approach to find and tailor new medical treatments for people and animals.

From https://research.uga.edu/news/connecting-canine-human-health-to-fight-cushings-disease/

Ectopic ACTH-secreting Pheochromocytoma Without Typical Signs of Cushing Syndrome

Abstract

This case report describes a 42-year-old female with a rare pheochromocytoma presenting without classic Cushingoid features but with uncontrolled hypertension, type 2 diabetes, and recurrent headaches. Despite the absence of typical signs, biochemical analysis revealed elevated cortisol and ACTH levels, and imaging showed a 6 cm adrenal mass. The patient was stabilized preoperatively with alpha-blockers and metyrapone before undergoing a successful laparoscopic adrenalectomy. Histopathology confirmed pheochromocytoma with aggressive features. Postoperatively, her blood pressure and symptoms improved, and her cortisol levels normalized. This case underscores the diagnostic challenges of ACTH-secreting pheochromocytomas without classic hypercortisolism signs and emphasizes the need for thorough endocrine and imaging assessments. Surgical resection remains the definitive treatment, with long-term follow-up essential to monitor for recurrence. This case contributes to the limited literature on the coexistence of pheochromocytoma and ectopic ACTH secretion.

Introduction

Ectopic ACTH-dependent tumors are rare, comprising approximately 5%–10% of Cushing syndrome cases, and are infrequently associated with pheochromocytomas, making this a unique presentation [12]. Pheochromocytomas, though rare, can present as adrenal incidentalomas, often discovered during imaging for unrelated conditions. They represent 7% of adrenal incidentalomas and pose clinical challenges due to the risk of hormonal hypersecretion, including excess catecholamines and cortisol [1]. This case highlights the coexistence of an ectopic ACTH-producing tumor and pheochromocytoma, a combination rarely reported in the literature [34]. While Cushing syndrome typically arises from adrenal or pituitary sources, ectopic ACTH secretion from pheochromocytomas presents a diagnostic and therapeutic challenge due to its rarity and aggressive potential [4–6]. Early diagnosis is crucial, particularly in cases with comorbidities like hypertension and diabetes, which are common in pheochromocytomas [12]. This case underscores the need for a multidisciplinary approach to managing rare endocrine tumors.

Case report

A 42-year-old female from Mexico City presented with a history of treatment-resistant hypertension and a newly identified adrenal mass. She had no history of alcohol or tobacco use and led a generally healthy lifestyle. She was diagnosed with type 2 diabetes five years before symptoms appeared and developed hypertension five years before hospitalization, managed with valsartan and amlodipine verapamil.

The patient’s hypertension worsened, with blood pressure readings reaching 200/160 mmHg. She presented with asthenia and adynamia, and a CT scan revealed a 4 cm right adrenal mass, confirmed as 4.7 cm on a subsequent scan (Fig. 1). No signs of metastasis were observed. Upon hospital admission, her physical examination revealed a blood pressure of 95/84 mmHg, a heart rate of 95 beats per minute, a respiratory rate of 28 breaths per minute, and a systolic murmur. She exhibited no Cushingoid features.

 

The imaging identified a hyperdense area at the lower pole of the left kidney. A heterogeneous image was visualized in the right adrenal gland, characterized by a hypodense lesion measuring 40 × 47 × 43 mm, with a density of 36 Hounsfield units (HU) in the simple phase, 107 HU in the venous phase and 61 HU in the delayed phase (15 min), with an absolute washout of 64%.

Figure 1

The imaging identified a hyperdense area at the lower pole of the left kidney. A heterogeneous image was visualized in the right adrenal gland, characterized by a hypodense lesion measuring 40 × 47 × 43 mm, with a density of 36 Hounsfield units (HU) in the simple phase, 107 HU in the venous phase and 61 HU in the delayed phase (15 min), with an absolute washout of 64%.

Initial laboratory tests showed elevated white blood cells (11 000/mm3), hemoglobin of 12.5 g/dl, and platelet count of 305 000/mm3. Blood chemistry indicated hyperglycemia (132 mg/dl), hyponatremia (129 mEq/l), and hypokalemia (3.4 mEq/l). Cortisol levels were elevated at 31.53 μg/dl, and a 1 mg low-dose dexamethasone suppression test showed cortisol levels of 16.65 μg/dl and 14.63 μg/dl, suggesting ACTH-dependent Cushing syndrome.

ACTH levels were 24 pg/ml, which, while elevated, were not suppressed. However, elevated 24-h urinary metanephrines (9881 μg/24 h) confirmed the presence of pheochromocytoma. The patient’s aldosterone-to-renin ratio was measured, revealing a ratio of 4. The serum aldosterone level was 5 ng/dl (138 pmol/l), while plasma renin activity was recorded at 1.1 ng/ml/h.

Imaging revealed a 4.7 cm right adrenal mass with a density of 36 Hounsfield Units and an absolute washout of 64%, with no signs of malignancy (Fig. 1).

The patient’s hypertension was initially managed with prazosin and metoprolol, but her blood pressure spiked to 200/160 mmHg during a hypertensive crisis, requiring nitroprusside. Surgical intervention was planned after diagnosis was confirmed.

The patient underwent a successful laparoscopic right adrenalectomy. The tumor measured 6 cm, and histopathology confirmed a pheochromocytoma with a PASS score of 4, indicating potential for aggressive behavior (Table 1). Histological and immunohistochemical analysis revealed the tumor’s characteristic organoid pattern (Zellballen) with chromogranin and synaptophysin positivity in principal cells and S100 protein staining in sustentacular cells, consistent with pheochromocytoma (Fig. 2). Postoperatively, her blood pressure stabilized, and symptoms of palpitations and sweating resolved. She has weaned off antihypertensives, and a follow-up dexamethasone suppression test showed a significant reduction in cortisol levels (1.2 μg/dl), indicating successful tumor removal.

 

Table 1

Histopathological report.

HISTOPATHOLOGICAL DIAGNOSIS
Specimen from right adrenalectomy:
Pheochromocytoma measuring 6×6 cm (positive for chromogranin 7, synaptophysin +S100, with sustentacular cells staining positive)

  • Marked nuclear pleomorphism: 1 point
  • Diffuse growth pattern: 2 points
  • Capsular invasion: 1 point
Total: 4 points.
Tumors with a score greater than 4 may exhibit aggressive biological behavior.

 

Histological and microscopic findings of adrenal Pheochromocytoma. (A) Macroscopic appearance. The ovoid tissue specimen has a light, smooth, soft external surface. The cut surface reveals a dark inner surface with light and hemorrhagic areas. Two cystic lesions with smooth walls are observed in the center (gross view). (B) A well-demarcated hypercellular lesion with an organoid pattern (Zellballen), separated by thin fibrovascular septa (Hematoxylin and eosin stain, 40×). (C) Nest of polygonal principal cells with ample eosinophilic granular cytoplasm, well-defined plasma membranes, hyperchromatic nuclei, and mild nuclear pleomorphism. Adjacent to the principal cells are spindle-shaped sustentacular cells with eosinophilic cytoplasm (Hematoxylin and eosin stain, 400×). (D) Positive immunoreactivity for chromogranin in principal cells. (E) Intense cytoplasmic reaction for synaptophysin in principal cells (immunohistochemistry, 400×). (F) Positive immunoreactivity for S100 protein, showing nuclear and cytoplasmic staining in sustentacular cells (immunohistochemistry, 400×).

Figure 2

Histological and microscopic findings of adrenal Pheochromocytoma. (A) Macroscopic appearance. The ovoid tissue specimen has a light, smooth, soft external surface. The cut surface reveals a dark inner surface with light and hemorrhagic areas. Two cystic lesions with smooth walls are observed in the center (gross view). (B) A well-demarcated hypercellular lesion with an organoid pattern (Zellballen), separated by thin fibrovascular septa (Hematoxylin and eosin stain, 40×). (C) Nest of polygonal principal cells with ample eosinophilic granular cytoplasm, well-defined plasma membranes, hyperchromatic nuclei, and mild nuclear pleomorphism. Adjacent to the principal cells are spindle-shaped sustentacular cells with eosinophilic cytoplasm (Hematoxylin and eosin stain, 400×). (D) Positive immunoreactivity for chromogranin in principal cells. (E) Intense cytoplasmic reaction for synaptophysin in principal cells (immunohistochemistry, 400×). (F) Positive immunoreactivity for S100 protein, showing nuclear and cytoplasmic staining in sustentacular cells (immunohistochemistry, 400×).

Postoperatively, her course was uneventful, with stable blood pressure without antihypertensives. A follow-up evaluation revealed normal cortisol levels, and 24-h urinary metanephrines returned to normal (312 μg/24 h for metanephrines; 225 μg/24 h for normetanephrines). Repeat imaging showed no residual adrenal mass. At her most recent follow-up, the patient remained asymptomatic with normal laboratory values, and no recurrence has been detected.

Discussion

Ectopic ACTH-secreting pheochromocytomas are rare, accounting for a small percentage of ACTH-dependent Cushing syndrome cases [14–6]. These tumors present diagnostic challenges, mainly when typical signs of Cushing syndrome, such as moon face, abdominal striae, or muscle weakness, are absent [3]. In this case, the patient exhibited only diabetes, uncontrolled hypertension, and recurrent headaches, symptoms that can also be attributed to pheochromocytoma itself [1]. The absence of Cushingoid features delayed the identification of ectopic ACTH secretion, making this case particularly difficult and unusual.

According to Gabi JN et al., most patients with ACTH-secreting pheochromocytomas present with severe hypercortisolism, including rapid weight gain and characteristic facial changes [3]. The absence of such features in this patient highlights the need to consider ectopic ACTH secretion in cases of adrenal masses, even without typical Cushing syndrome symptoms. This case illustrates how subtle presentations can lead to delayed diagnoses, emphasizing the importance of thorough evaluation in patients with adrenal tumors and metabolic abnormalities [13].

The diagnostic approach for pheochromocytomas includes hormonal assays and imaging [78]. Preoperative management for pheochromocytomas typically includes alpha-blockers to manage catecholamine excess [478]. This patient was managed with prazosin for blood pressure control and metyrapone to suppress cortisol production, consistent with clinical guidelines for managing ACTH-secreting tumors [578]. Despite the absence of Cushingoid features, careful preoperative preparation was essential to prevent complications during surgery.

Surgical resection is the definitive treatment for pheochromocytomas, particularly those secreting ACTH [8]. In this case, the patient underwent a successful laparoscopic adrenalectomy with no intraoperative complications. Histopathology confirmed a pheochromocytoma with marked nuclear pleomorphism and capsular invasion, suggesting potential aggressive behavior. Postoperatively, the patient’s blood pressure normalized, and her diabetes improved, aligning with outcomes reported in similar cases [46]. Cortisol levels also returned to normal, demonstrating the effectiveness of adrenalectomy in resolving hypercortisolism.

A limitation in this case was the delayed recognition of ectopic ACTH secretion due to the absence of typical Cushingoid signs. The literature underscores the importance of considering this diagnosis, even in nonspecific cases [5].

Long-term management of pheochromocytomas, particularly those with aggressive features like capsular invasion, requires close follow-up [578]. Genetic testing should be considered, especially in patients with unusual presentations or family histories of endocrine disorders [15]. Although not performed in this case, genetic testing could have provided further insight into the tumor’s etiology.

Acknowledgements

We thank the radiology department for interpreting the CT.

Conflict of interest

The authors declare no conflicts of interest related to this case report.

Funding

No external funding was received for this study.

Ethical approval

No approval was required.

Consent

Written informed consent was obtained from the patient and her parents to publish this case report and any accompanying images.

Guarantor

Froylan D. Martinez-Sanchez is the guarantor for this publication and accepts full responsibility for the work.

© The Author(s) 2025. Published by Oxford University Press.
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