Urine steroid metabolomics for the differential diagnosis of adrenal incidentalomas in the EURINE-ACT study: a prospective test validation study

Review of Adrenal Androgen Synthesis, Hypersecretion, and Blockade

Production of adrenal androgens begins with cholesterol, and through a series of enzymatic steps catalyzed by the cytochrome p450 superfamily, forms several 19-carbon sex hormones. Benign disorders of adrenal androgen hypersecretion include adrenal variants of polycystic ovarian syndrome, congenital adrenal hyperplasia, and nonmalignant tumors. Adrenocortical carcinomas can also oversecrete adrenal androgens. Primary adrenal hypoandrogenism is not generally accepted as a stand-alone diagnosis in women. Blockade of adrenal androgens has emerged as contemporary treatment of men with metastatic prostate cancer. Here, we explore the history of the adrenal gland, its biosynthetic pathway, and common disorders of adrenal androgen hypersecretion and blockade.

Nuances of Adrenal Metabolic Workup

Adrenal function testing is recommended in all adrenal nodules 1 cm or larger with evaluation for pheochromocytoma, hyperaldosteronism, cortisol production, and androgen production as 40% of adrenal nodules are functional. Additional testing can be performed in patients with suspicious nodules by imaging. A multidisciplinary approach to evaluation and treatment of adrenal nodules is mandatory to consider the nuances involved in laboratory screening, confirmatory testing, and localization procedures.

The Landmark Series: Evaluation and Management of Adrenal Incidentalomas

Adrenal incidentalomas are adrenal masses ≥ 1 cm discovered on imaging studies for unrelated clinical conditions. The prevalence of adrenal incidentalomas has increased as a byproduct of the widespread use of cross-sectional imaging, particularly in older adults. The clinical significance of adrenal incidentalomas varies based on tumor size, hormonal activity, and imaging characteristics. While most adrenal incidentalomas are benign and asymptomatic, a significant minority are hormonally active or malignant, necessitating careful evaluation and management. Adrenal hormone secretion can have significant clinical implications. Biochemical testing is crucial to assess for hormone excess, including steroid hormones (mineralocorticoids, glucocorticoids, and androgens), which are made in the adrenal cortex, as well as catecholamines, which are made in the adrenal medulla. Non-contrast computed tomography (CT) is the preferred modality for evaluating adrenal nodules as it allows for assessment of tissue density in Hounsfield units (HU). Benign lesions typically have an homogeneous appearance with HU ≤ 10. Contrast-enhanced CT with delayed washout can help differentiate benign tumors from malignant tumors. Tumors ≥ 4 cm, or those with indeterminate features may require further imaging, such as magnetic resonance imaging (MRI) or positron emission tomography (PET)/CT. The management of adrenal incidentalomas is determined by hormonal secretion and imaging characteristics. Surgical resection is recommended for functional tumors and those that are suspicious for malignancy, including tumors ≥ 4 cm in size and those with rapid growth. Non-functional tumors < 4 cm may undergo imaging surveillance. The goal of this review is to summarize the contemporary literature and guidelines on adrenal incidentalomas, and to describe the key principles regarding evaluation and management.

An untargeted metabolomics approach to evaluate enzymatically deconjugated steroids and intact steroid conjugates in urine as diagnostic biomarkers for adrenal tumors

OBJECTIVES

Urinary steroid profiling after hydrolysis of conjugates is an emerging tool to differentiate aggressive adrenocortical carcinomas (ACC) from benign adrenocortical adenomas (ACA). However, the shortcomings of deconjugation are the lack of standardized and fully validated hydrolysis protocols and the loss of information about the originally conjugated form of the steroids. This study aimed to evaluate the quality of the deconjugation process and investigate novel diagnostic biomarkers in urine without enzymatic hydrolysis.

METHODS

24 h urine samples from 40 patients with ACC and 40 patients with ACA were analyzed by untargeted metabolomics using liquid chromatography-high-resolution mass spectrometry both unmodified and after hydrolysis with arylsulfatase/glucuronidase from Helix pomatia. Both approaches were compared regarding the differentiation of ACC vs. ACA via ROC analyses and to evaluate the hydrolyzation efficiency of steroid conjugates.

RESULTS

Steroid glucuronides were fully deconjugated, while some disulfates and all monosulfates were still largely detectable after enzymatic hydrolysis, suggesting incomplete and variable deconjugation. In unhydrolyzed urine, steroid monosulfates showed the best differentiation between ACC and ACA (highest AUC=0.983 for C21H32O6S, followed by its isomer and two isomers with the molecular formula C21H32O7S). Moreover, several disulfates were highly abundant and increased in ACC compared to ACA.

CONCLUSIONS

This work highlights the limitations of hydrolyzing steroid conjugates before analysis and shows a possible superiority of a direct analysis approach compared to a hydrolysis approach from a methodological point of view and regarding diagnostic accuracy. Several steroid conjugates were found as promising diagnostic biomarkers for differentiation between ACC and ACA.

Targeting pediatric adrenocortical carcinoma: Molecular insights and emerging therapeutic strategies

Pediatric adrenocortical carcinoma (pACC) is an exceptionally rare and aggressive malignancy, accounting for only 0.2-0.3% of childhood cancers. Characterized by significant endocrine activity and often associated with genetic syndromes such as Li-Fraumeni syndrome, pACC exhibits distinct clinical and molecular profiles compared to adult adrenocortical carcinoma (ACC). Current treatment approaches, largely adapted from adult protocols, center on surgery and chemotherapy, including mitotane. However, the lack of pediatric-specific data and major clinical trials underscores a pressing need for tailored therapeutic strategies. Advances in molecular profiling have unveiled actionable targets, such as alterations in the Wnt/β-catenin and MAP/ERK pathways, overexpression of IGF2, and epigenetic dysregulation. Emerging therapies, including immune checkpoint inhibitors, CAR T-cell therapy, and radiopharmaceuticals, hold promise but remain largely untested in pediatric populations. Targeting metabolic vulnerabilities, such as steroidogenesis and lipid metabolism, offers additional avenues for therapeutic innovation. Furthermore, improved diagnostic tools like liquid biopsy and steroid profiling may enhance disease monitoring and early detection. Despite progress in understanding pACC biology, significant challenges remain in translating these insights into effective treatments. Collaborative efforts, such as the European Cooperative Study Group for Pediatric Rare Tumors (EXPeRT), and the development of pediatric-specific clinical trials are vital for advancing the field. Multidisciplinary care and international research initiatives will be pivotal in addressing the unmet needs of pACC patients. By leveraging molecular insights and fostering global collaboration, the field can move toward personalized medicine, improving outcomes and quality of life for children with this challenging disease. Expanding clinical trials, refining diagnostic tools, and integrating novel therapies into treatment regimens will be critical in bridging the gap between pediatric and adult ACC treatment success.

Advances in the biochemical diagnostics of primary aldosteronism: from immunoassays to steroidomics and proteomics

Primary aldosteronism is the most common cause of secondary hypertension, yet most cases remain unrecognized and left without optimal treatment. The diagnostic inertia may be attributed to the lack of specific symptoms, insufficient awareness among physicians, still conflicting indications for screening for primary aldosteronism and first and foremost challenging diagnostics. This review describes the current challenges of biochemical diagnostics of primary aldosteronism, including screening, case confirmation and subtyping. It also discusses immunoassays widely used in assessment of suspected autonomous aldosterone secretion - recent advances in the field and limitations of the method in comparison to the gold standard - liquid chromatography -tandem mass spectrometry. The review focuses on the application of novel "omics" strategies in the diagnostics of primary aldosteronism. Steroidomics and proteomics offer a possibility to simultaneously assess steroids and protein/peptides on a large scale. This multianalyte approach in comparison to the selective quantification of a chosen compound has been proved useful in the diagnostics of primary aldosteronism. It also offers a unique insight into the individual characteristics, underlying mechanisms and even reflects the genetic alterations of primary aldosteronism cases. The "omics" techniques are associated with large amounts of generated data, the interpretation of which may be troublesome and often necessitates the use of artificial intelligence. The novel advances in the biochemical diagnostics of primary aldosteronism, including "omics" techniques, presented in this review may help to address the most emerging problems, increase the number of diagnosed patients and facilitate the choice of an optimal treatment.

American Association of Clinical Endocrinology Consensus Statement on Management of Multiple Endocrine Neoplasia Type 1

OBJECTIVE

This document presents the findings of the American Association of Clinical Endocrinology (AACE) on the diagnosis, management, and surveillance of patients with multiple endocrine neoplasia type 1 (MEN1) and associated tumors. The task force included a diverse group of experts in endocrinology, oncology, genetics, surgery, and patient representation. A comprehensive literature review was conducted to address key issues related to the evaluation, surveillance, and treatment of MEN1-related tumors.

METHODS

The task force, comprised of 9 members with expertise in endocrinology, surgery, medical oncology, genetics, and patient advocacy, collaborated to develop guidance for the evaluation, surveillance, and management of MEN1-associated tumors. Consensus was defined as ≤1 dissenting vote and significant majority as ≥75%. Relevant studies were identified through a literature review process, and consensus statements were based on the available evidence.

RESULTS

The task force deliberated on the surveillance, evaluation, and management of MEN1-related tumors including parathyroid, pituitary, and gastroenteropancreatic neuroendocrine tumors and other tumors of relevance. The document also addresses the indications for MEN1 genetic testing.

CONCLUSIONS

This consensus statement aims to offer evidence-informed guidance for health care providers involved in the care of patients with MEN1 and associated tumors. It provides guidance on diagnostic tools, genetic testing criteria, imaging techniques, surgical interventions, and posttreatment monitoring. The practical, patient-centered approach outlined in this document is intended to improve outcomes for individuals with MEN1 and other high-risk endocrine tumors.

Serum Steroid Profiling in the Diagnosis of Adrenocortical Carcinoma: A Prospective Cohort Study

CONTEXT

Guidelines suggest performing urine steroid profiling in patients with indeterminate adrenal tumors to make a noninvasive diagnosis of adrenocortical carcinoma (ACC). However, urine steroid profiling is not widely available.

OBJECTIVE

To determine the accuracy of clinically available serum 11-deoxycortisol, 17OH-progesterone, and 17OH-pregnenolone in diagnosing ACC.

METHODS

We conducted a prospective single-center cohort study of patients with adrenal masses evaluated between 2015 and 2023. Serum was analyzed by liquid chromatography-mass spectrometry for 17OH-pregnenolone, 17OH-progesterone, and 11-deoxycortisol. Reference standard for adrenal mass included histopathology, imaging characteristics, imaging follow up of 2 years, or clinical follow up of 5 years. Localized Generalized Matrix Learning Vector Quantization analysis was used to develop serum steroid score and assessed with area under receiver operating curve.

RESULTS

Of 263 patients with adrenal masses, 44 (16.7%) were diagnosed with ACC, 161 (61%) with adrenocortical adenomas (ACAs), 27 (10%) with other adrenal malignancies, and 31 (12%) with other. Hounsfield unit ≥ 20 was demonstrated in all ACCs, in all but 1 other adrenal malignancy, and in 58 (31%) ACAs. All 3 steroids were higher in patients with ACCs vs non-ACCs, including when comparing ACCs with functioning ACAs, and with ACAs with Hounsfield unit ≥ 20 (P < .0001 for all). Localized Generalized Matrix Learning Vector Quantization analysis yielded a serum steroid score that discriminated between ACC and non-ACC groups with a mean threshold fixed area under receiver operating curve of 0.823.

CONCLUSION

We showed that measurements of 11-deoxycortisol, 17OH-progesterone, and 17OH-pregnenolone could be valuable in diagnosing ACC. After appropriate validation, serum steroid score could be integrated in clinical practice.

Multidisciplinary Tumor Board Evaluation of Pediatric Patients with Adrenocortical Tumors Across Seven International Centers

BACKGROUND

The management of rare tumors at reference centers with specialized multidisciplinary tumor boards (MTBs) improves patient survival. No international standardized diagnostic and treatment recommendations for pediatric patients with adrenocortical carcinoma (ACC) exist so far. The aim of this case-based study is to determine how congruent treatment recommendations are in different specialized institutions in different countries.

METHODS

In this cross-sectional, case-based survey study, five anonymized patient cases, including imaging data of pediatric adrenocortical carcinomas (pACCs), were distributed to seven international specialized centers located in Brazil, Germany, India, Italy, Poland, Turkey, and the USA. The centers were tasked with providing recommendations regarding the treatment sequence and modalities, as well as indicating the level of consensus on these decisions within their MTBs. For each case, the treatment approach recommended by the highest number of centers was recorded to calculate an agreement percentage relative to all treatment recommendations made. The consensus level for each case was determined on a scale of 1 to 10, with higher scores indicating greater agreement among MTB members.

RESULTS

A total of five patient cases were discussed across seven MTBs, yielding a total of 34 treatment recommendations. The agreement percentages for the primary therapeutic approach for each case were as follows: primary therapeutic approach: 88.6%; surgical approaches: 51.8%; and systemic chemotherapy recommendations: 53%.

CONCLUSIONS

This study represents the first case-based analysis of international inter-center agreement on pediatric ACC management. Inter-center agreement regarding treatment allocation and sequencing was low, while the level of consensus within each MTB was high. These findings point to potentially significant and clinically relevant differences in treatment standards across centers, highlighting the need for international collaboration and standardized diagnostic and therapeutic recommendations, especially for rare tumors. Increased case-based exchanges between centers are essential to reduce the substantial discrepancies observed here and to further standardize the management of pediatric patients with ACC.

Adrenal Mass Evaluation: Suspicious Radiological Signs of Malignancy

An adrenal mass discovered incidentally during imaging for unrelated clinical reasons is termed an "adrenal incidentaloma" (AI). AIs can be categorized as primary or metastatic, functioning or non-functioning, and benign or malignant. The primary goal of radiological evaluation is to exclude malignancy by differentiating between benign and malignant lesions. Most AIs are benign, with adenomas and macronodular bilateral adrenal hyperplasia being the most common types. Less common benign lesions include myelolipomas, pheochromocytomas, cysts, and hematomas. Malignant adrenal masses account for less than 10% of cases and often include metastases from other cancers or primary adrenal diseases, such as adrenocortical carcinoma and pheochromocytoma. Computed Tomography (CT) remains the gold standard for diagnosing adrenal incidentalomas, while Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) are utilized for indeterminate cases. Additionally, innovative imaging techniques such as texture analysis are gaining importance, as they can assess quantitative parameters that are not visible to the human eye. This review aims to provide an updated overview of malignant adrenal lesions on CT and MRI, emphasizing key imaging features suspicious for malignancy to aid in distinguishing between benign and malignant lesions. Furthermore, it highlights the growing role of radiomics as a supportive tool for radiologists.

Role of radiologists in the diagnosis and management of adrenal disorders

This study aimed to focus on the role of radiologists in the diagnosis and management of adrenal lesions, particularly primary aldosteronism (PA) and secondary hypertension. As hypertension affects more than one-third of the population in Japan, identifying secondary causes such as PA and adrenal lesions is crucial. Establishing a radiological differential diagnosis of adrenal lesions using advanced imaging techniques, such as computed tomography and magnetic resonance imaging, is crucial. Knowledge of the imaging findings of various benign and malignant adrenal lesions, such as adrenocortical adenomas, cortisol-producing lesions, pheochromocytomas, adrenocortical carcinoma, malignant lymphoma, and metastatic tumors, is necessary. Adrenal venous sampling (AVS) plays a crucial role in accurately localizing aldosterone hypersecretion in PA, especially when imaging fails to provide a clear diagnosis. This paper details the technical aspects of AVS, emphasizing catheterization techniques, anatomical considerations, and the importance of preprocedural imaging for successful sampling. Furthermore, we explore segmental adrenal venous sampling (SAVS), a more refined technique that samples specific adrenal tributary veins, offering enhanced diagnostic accuracy, particularly for microadenomas or challenging cases that may be missed with conventional AVS. The methodology for performing SAVS, along with the interpretation criteria for successful sampling and lateralization, is also outlined. Furthermore, radiologists have initiated treatments for unilateral PA, such as radiofrequency ablation, and play an integral role in the management of adrenal lesions. Collaborative approaches across clinical departments are required to enhance patient management in medical care involving the adrenal gland.

Metabolomics studies in cushing's syndrome: recent developments and perspectives

INTRODUCTION

Exogenous Cushing's syndrome is the result of long-term exposure to glucocorticoids, while endogenous Cushing's syndrome occurs due to excessive production of glucocorticoids within the body. Cushing's syndrome remains a diagnostic challenge for the treating physician.Mass spectrometry, with its better resolution, detectability, and specificity, paved the way to understanding the cellular and molecular mechanisms involved in several diseases that facilitated the evolution of biomarkers and personalized medicine, which can be applicable to manage Cushing's syndrome as well.

AREAS COVERED

There are only a few reports of mass spectrometry-based metabolomic approaches to endogenous Cushing's syndrome of certain etiologies. However, the application of this approach in the diagnosis of exogenous Cushing has not been explored much. This review attempts to discuss the application of the mass spectrometry-based metabolomic approach in the evaluation of Cushing's syndrome.

EXPERT OPINION

Global metabolomics has the potential to discover altered metabolites and associated signaling and metabolic pathways, which may serve as potential biomarkers that would help in developing tools to accelerate precision medicine. Multi-omics approaches will provide innovative solutions to develop molecular tests for multi-molecule panel assays.

Steroid Profiling and Circadian Cortisol Secretion in Patients With Mild Autonomous Cortisol Secretion: A Cross-sectional Study

CONTEXT

Mild autonomous cortisol secretion (MACS) is diagnosed based on postdexamethasone cortisol >1.8 µg/dL. Scarce evidence exists on steroid circadian secretion and steroid metabolome in MACS.

OBJECTIVE

To characterize 24-hour (h) urine steroid metabolome in patients with MACS and determine circadian differences in urine steroid profiling and cortisol concentrations in patients with MACS vs referent subjects.

METHODS

Cross-sectional study, 2018-2023, at a referral center. Patients with MACS and age-, sex-, body mass index-, and menopausal status-matched referent subjects were included. Urine was collected over a 24 hour period as separate daytime and nighttime collections. High-resolution mass spectrometry assay was used to measure 25 steroids. A subgroup of patients and referent subjects was admitted for serum measurements of free and total cortisol every 2 hours. Outcomes were steroids, steroid sums, and ratios.

RESULTS

Patients with MACS (n = 72) had lower µg/24 hour median androgens (2084 vs 3283, P < .001), higher glucocorticoids (15 754 vs 12936, P < .001), and higher glucocorticoid/androgen ratio (8.7 vs 3.9, P < .001) than referent subjects. Patients also had lower steroid day/night ratios than referent subjects, reflecting a higher relative nocturnal steroid production in MACS. In a subgroup of 12 patients with MACS and 10 referent subjects, the 24-hour areas under the curve for total and free serum cortisol were similar. However, evening mean total (5.3 vs 4.0 µg/dL, P = .056) and free (0.2 vs 0.1 µg/dL, P = .035) cortisol was higher in patients vs referent subjects.

CONCLUSION

Patients with MACS demonstrate an abnormal urine steroid metabolome, with a high glucocorticoid to androgen ratio, and a higher nocturnal steroid production.

Necrosis in Preoperative Cross-Sectional Imaging and Postoperative Histology Is a Diagnostic Marker for Malignancy of Adrenocortical Tumors

Necrosis in postoperative histology has been reported as being specific for adrenocortical carcinoma (ACC) compared to adenoma. We therefore retrospectively analyzed the diagnostic accuracy of the finding of necrosis in preoperative cross-sectional imaging and postoperative histology as a marker for ACC in our patient cohort. Among the 411 adrenalectomies in 396 patients performed between 2008 and April 2022, 30 cases of ACC (7.6%) were identified, with one tumor measuring less than 40 mm excluded. All 45 benign adrenocortical tumors of at least 40 mm in diameter, including Cushing, Conn, and hormonally inactive adenomas, served as controls. Preoperative imaging was available for 40 benign and 27 malignant adrenocortical tumors. In total, 10 of 40 (25%) benign adrenocortical tumors and 22 of 27 (81%) ACCs showed signs of possible necrosis in preoperative imaging. Pathologic examination confirmed necrosis in 1 of 40 (2.5%) benign tumors and in 26 out of 27 (96%) malignant tumors. The specificities of possible necrosis in preoperative imaging and necrosis in histology for diagnosing ACC were 75% and 97.5%, respectively, whereas the sensitivities were 81% and 96%, respectively. Signs of possible necrosis in radiologic imaging and tumor necrosis in histology proved to be very good predictive markers for the diagnosis of malignant adrenocortical tumors.

[18F]FDG-PET/CT in adrenal lesions: diagnostic performance in different clinical settings

PURPOSE

Data regarding [18F]FDG-PET/CT for the characterization of adrenal lesions are limited. Most of the studies proposed the tumor-to-liver maximum standardized uptake values (SUVratio) > 1.5 as the best cut off to predict malignancy. The aim of the study was to calculate the optimum cut off in a heterogeneous population with adrenal lesions and evaluate the diagnostic performance SUVratio >1.5.

PATIENTS AND METHODS

Retrospective analysis of adrenal lesions undergoing [18F]FDG-PET/CT (2013-2022) for different reasons (atypical adrenal incidentalomas, extra adrenal tumor staging). The diagnosis of benignity was assessed by: (i) histology; (ii) stability or minimal diameter increase (<20%/<5 mm) on 12-months follow-up for non-operated patients. The optimal SUVratio and performance of SUVratio >1.5 were calculated by ROC curves.

RESULTS

Forty-two consecutive lesions (diameter 36.1 ± 20.3 mm, 6 bilateral) underwent [18F]FDG-PET/CT (19F, age 61.2 ± 11.7 years). Twenty-nine lesions were benign, 11 malignant [8 metastases (2 bilateral) and 1 adrenocortical carcinoma (ACC)] and 2 pheochromocytomas. The SUVratio cut-off in our population was 1.55 (Sn 100%, Sp 73.7%, AUC 0.868), with similar values excluding pheochromocytomas and metastases (SUVratio cut-off 1.49, Sn 100%, Sp 96.3%, AUC 0.988). The SUVratio cut-off of 1.5 showed 100% Sn, 87% Sp, 73% PPV, and 100% NPV.

CONCLUSION

[18F]FDG-PET/CT could help in decision making process avoiding unnecessary surgery. The SUVratio cut-off of 1.5 has a good performance in a heterogenous population.

High Diagnostic Accuracy of Arterial Phase CT in Differentiating Pheochromocytoma in Good/Poor Washout Adrenal Masses

Introduction

Differentiating pheochromocytomas from other adrenal masses based on computed tomography (CT) characteristics remains challenging, particularly in lipid-poor lesions with variable washout patterns. This study evaluated CT features for distinguishing pheochromocytomas in good and poor washout subcohorts.

Methods

We prospectively analyzed 72 patients with unilateral lipid-poor adrenal masses. CT protocol included basal, bolus-tracked arterial, early venous (45 seconds postarterial), and delayed (15 minutes postarterial) phases. Masses were categorized into good and poor washout groups. Histopathology provided the final diagnosis. CT characteristics and calculated indices were compared between pheochromocytomas and other masses in each washout category.

Results

The cohort included pheochromocytomas (n = 35), adrenocortical carcinoma (ACC; n = 15), lipid-poor adenomas (n = 13), and metastatic infiltration/infection (n = 9). In the good washout group, pheochromocytomas (n = 15) showed larger diameters (6.00 vs 3.45 cm, P = .001), higher necrosis frequency (73.3% vs 30%, P = .049), and greater arterial attenuation (173.2 vs 74.5 HU, P < .001) compared to adenomas (n = 9). Arterial attenuation provided a high discriminatory value [area under the curve (AUC): 0.967], with 100% sensitivity at 87.6 Hounsfield unit (HU) and 100% specificity at 139.9 HU. In the poor washout group, pheochromocytomas (n = 20) exhibited higher arterial attenuation (99.2 vs 59.2 HU, P < .001; AUC: 0.844) compared to ACC (n = 14), metastatic infiltration (n = 9), and adenomas (n = 4), with 85% sensitivity and 78% specificity at 73.3 HU. Normetanephrine-secreting/nonsecretory pheochromocytomas showed higher arterial enhancement than metanephrine-secreting ones (132.0 vs 90.5 HU, P = .020) within the poor washout group.

Conclusion

Arterial phase attenuation on CT has good diagnostic accuracy for differentiating pheochromocytomas from other adrenal masses in both good and poor washout categories, potentially guiding hormonal workup.

The interpretation of immunometric, chromatographic and mass spectrometric data for steroids in diagnosis of endocrine disorders

The analysis of steroids for endocrine disorders is in transition from immunoassay of individual steroids to more specific chromatographic and mass spectrometric methods with simultaneous determination of several steroids. Gas chromatography (GC) and liquid chromatography (LC) coupled with mass spectrometry (MS) offer unrivalled analytical capability for steroid analysis. These specialist techniques were often judged to be valuable only in a research laboratory but this is no longer the case. In a urinary steroid profile up to 30 steroids are identified with concentrations and excretion rates reported in a number of ways. The assays must accommodate the wide range in steroid concentrations in biological fluids from micromolar for dehydroepiandrosterone sulphate (DHEAS) to picomolar for oestradiol and aldosterone. For plasma concentrations, panels of 5-20 steroids are reported. The profile results are complex and interpretation is a real challenge in order to inform clinicians of likely implications. Although artificial intelligence and machine learning will in time generate reports from the analysis this is a way off being adopted into clinical practice. This review offers guidance on current interpretation of the data from steroid determinations in clinical practice. Using this approach more laboratories can use the techniques to answer clinical questions and offer broader interpretation of the results so that the clinician can understand the conclusion for the steroid defect, and can be advised to program further tests if necessary and instigate treatment. The biochemistry is part of the patient workup and a clinician led multidisciplinary team discussion of the results will be required for challenging patients. The laboratory will have to consider cost implications, bearing in mind that staff costs are the highest component. GC-MS and LC-MS/MS analysis of steroids are the choices. Steroid profiling has enormous potential to improve diagnosis of adrenal disorders and should be adopted in more laboratories in favour of the cheap, non-specific immunological methods.

Presentation and management of patients with adrenal masses: a large tertiary centre experience

BACKGROUND

Adrenal masses are found in up to 5%-7% of adults. The 2016 European guidelines on the management of adrenal incidentalomas have standardised the workup of these patients, but evidence of their impact on clinical practice is lacking.

METHODS

Retrospective review of clinical presentation, radiological characteristics, and final diagnosis of a large cohort of patients with adrenal masses referred to a tertiary care centre 1998-2022. Sub-analysis compares outcomes before and after implementing the 2016 guidelines.

RESULTS

A total of 1397 patients (55.7% women; median age 60 years [interquartile range {IQR}, 49-70]) were included. Incidental discovery was the most frequent mode of presentation (63.7%) and 30.6% of patients had masses ≥ 4 cm (median 2.9 cm [IQR, 1.9-4.7]). Unenhanced computed tomography Hounsfield units (HU) were available for 763 patients; of these, 32.9% had heterogeneous masses or >20 HU. The most common diagnoses were adrenocortical adenoma (56.0%), phaeochromocytoma (12.7%), adrenocortical carcinoma (10.6%), and metastases (5.7%). At multivariable analysis, significant predictors of malignancy included >20 HU or heterogeneous density (odds ratio [OR] 28.40), androgen excess (OR 27.67), detection during cancer surveillance (OR 11.34), size ≥ 4 cm (OR 6.11), and male sex (OR 3.06). After implementing the 2016 guidelines, the number of adrenalectomies decreased (6.1% pre-2016 vs 4.5% post-2016) and the number of patients discharged increased (4.4% pre-2016 vs 25.3% post-2016) for benign non-functioning adrenal masses.

CONCLUSION

Implementing the 2016 guidelines positively impacted clinical practice, reducing unnecessary surgeries and increasing the discharge rate for benign adrenal masses, thereby preserving healthcare resources and patient burden.

A novel model using leukocytes to differentiating mild autonomous cortisol secretion and non-functioning adrenal adenoma

BACKGROUND

Mild autonomous cortisol secretion (MACS) accounts for a significant proportion of adrenal incidentaloma. Current endocrinological screening tests for MACS are complex, particularly in areas with limited medical resources. This study aimed to develop a diagnostic tool based on leukocyte-related parameters to differentiate between MACS and non-functioning adrenal adenoma (NFA).

METHODS

Inthis retrospective case-control study, propensity score-matching was used to select 567 patients from a cohort of 1108 patients (201 MACS, 907 NFA). External validation cohort included 52MACS and 48 NFA from two hospitals, which did not overlap with the modeling cohort patients. Leukocyte-related parameters were evaluated, and the diagnostic efficacy of each parameter was assessed by calculating Youden's J index (J) and the area under the curve (AUC). The study population was divided into training and testing samples using a 10-fold cross-validation method. Machine learning (ML) and classification and regression tree (CART) model were established.

RESULTS

After propensity score matching, 567 patients were enrolled, including 197 MACS and 370 NFA. With the exception of basophil percentage, all other parameters differed significantly between the two groups. Lymphocyte count, lymphocyte percentage, eosinophils count, eosinophils percentage, and basophil percentage were lower in the MACS group compared to the NFA group. Eosinophils percentage demonstrated the highest AUC (0.650), with a sensitivity of 51.3% and specificity of 73.2%. The ML model, based on multiple parameters,exhibited better performance in diagnosing MACS (sensitivity 76%, specificity 77.4%, and AUC 0.818). A clinically usable CART model achieved an AUC of 0.872, with a sensitivity of 95% and a specificity of 75.7%.  In the validation cohort, the prediction accuracy of the ML model and the CART model were 0.784 and 0.798, respectively.

CONCLUSION

TheCART diagnostic model, constructed based on leukocyte-related parameters, could assist clinicians in distinguishing between MACS and NFA.

Clinical Review: The Approach to the Evaluation and Management of Bilateral Adrenal Masses

OBJECTIVE

This white paper provides practical guidance for clinicians encountering bilateral adrenal masses.

METHODS

A case-based approach to the evaluation and management of bilateral adrenal masses. Specific clinical scenarios presented here include cases of bilateral adrenal adenomas, hemorrhage, pheochromocytomas, metastatic disease, myelolipomas, as well as primary bilateral macronodular adrenal hyperplasia.

RESULTS

Bilateral adrenal masses represent approximately 10% to 20% of incidentally discovered adrenal masses. The general approach to the evaluation and management of bilateral adrenal masses follows the same protocol as the evaluation of unilateral adrenal masses, determined based on the patient's clinical history and examination as well as the imaging characteristics of each lesion, whether the lesions could represent a malignancy, demonstrate hormone excess, or possibly represent a familial syndrome. Furthermore, there are features unique to bilateral adrenal masses that must be considered, including the differential diagnosis, the evaluation, and the management depending on the etiology. Therefore, considerations for the optimal imaging modality, treatment (medical vs surgical therapy), and surveillance are included. These recommendations were developed through careful examination of existing published studies as well as expert clinical opinion consensus.

CONCLUSION

The evaluation and management of bilateral adrenal masses require a comprehensive systematic approach which includes the assessment and interpretation of the patient's clinical history, physical examination, dynamic hormone evaluation, and imaging modalities to determine the key radiographic features of each adrenal nodule. In addition, familial syndromes should be considered. Any final treatment options and approaches should always be considered individually.

Differentiation between adrenocortical carcinoma and lipid-poor adrenal adenoma using a multiparametric MRI-based diagnostic algorithm

PURPOSE

The purpose of this study was to evaluate the capabilities of multiparametric magnetic resonance imaging (MRI) in differentiating between lipid-poor adrenal adenoma (LPAA) and adrenocortical carcinoma (ACC).

MATERIALS AND METHODS

Patients of two centers who underwent surgical resection of LPAA or ACC after multiparametric MRI were retrospectively included. A training cohort was used to build a diagnostic algorithm obtained through recursive partitioning based on multiparametric MRI variables, including apparent diffusion coefficient and chemical shift signal ratio (i.e., tumor signal intensity index). The diagnostic performances of the multiparametric MRI-based algorithm were evaluated using a validation cohort, alone first and then in association with adrenal tumor size using a cut-off of 4 cm. Performances of the diagnostic algorithm for the diagnosis of ACC vs. LPAA were calculated using pathology as the reference standard.

RESULTS

Fifty-four patients (27 with LPAA and 27 with ACC; 37 women; mean age, 48.5 ± 13.3 [standard deviation (SD)] years) were used as the training cohort and 61 patients (24 with LPAA and 37 with ACC; 47 women; mean age, 49 ± 11.7 [SD] years) were used as the validation cohort. In the validation cohort, the diagnostic algorithm yielded best accuracy for the diagnosis of ACC vs. LPAA (75%; 46/61; 95% CI: 55-88) when used without lesion size. Best sensitivity was obtained with the association of the diagnostic algorithm with tumor size (96%; 23/24; 95% CI: 80-99). Best specificity was obtained with the diagnostic algorithm used alone (76%; 28/37; 95% CI: 60-87).

CONCLUSION

A multiparametric MRI-based diagnostic algorithm that includes apparent diffusion coefficient and tumor signal intensity index helps discriminate between ACC and LPAA with high degrees of specificity and accuracy. The association of the multiparametric MRI-based diagnostic algorithm with adrenal lesion size helps maximize the sensitivity of multiparametric MRI for the diagnosis of ACC.

Primary unilateral macronodular adrenal hyperplasia with concomitant glucocorticoid and androgen excess and KDM1A inactivation

BACKGROUND

Primary bilateral macronodular adrenal hyperplasia (PBMAH) is a rare cause of Cushing's syndrome. Individuals with PBMAH and glucose-dependent insulinotropic polypeptide (GIP)-dependent Cushing's syndrome due to ectopic expression of the GIP receptor (GIPR) typically harbor inactivating KDM1A sequence variants. Primary unilateral macronodular adrenal hyperplasia (PUMAH) with concomitant glucocorticoid and androgen excess has never been encountered or studied.

METHODS

We investigated a woman with a large, heterogeneous adrenal mass and severe adrenocorticotropic hormone-independent glucocorticoid and androgen excess, a biochemical presentation typically suggestive of adrenocortical carcinoma. The patient presented during pregnancy (22nd week of gestation) and reported an 18-month history of oligomenorrhea, hirsutism, and weight gain. We undertook an exploratory study with detailed histopathological and genetic analysis of the resected adrenal mass and leukocyte DNA collected from the patient and her parents.

RESULTS

Histopathology revealed benign macronodular adrenal hyperplasia. Imaging showed a persistently normal contralateral adrenal gland. Whole-exome sequencing of 4 representative nodules detected KDM1A germline variants, benign NM_001009999.3:c.136G > A:p.G46S, and likely pathogenic NM_001009999.3:exon6:c.865_866del:p.R289Dfs*7. Copy number variation analysis demonstrated an additional somatic loss of the KDM1A wild-type allele on chromosome 1p36.12 in all nodules. RNA sequencing of a representative nodule showed low/absent KDM1A expression and increased GIPR expression compared with 52 unilateral sporadic adenomas and 4 normal adrenal glands. Luteinizing hormone/chorionic gonadotropin receptor expression was normal. Sanger sequencing confirmed heterozygous KDM1A variants in both parents (father: p.R289Dfs*7 and mother: p.G46S) who showed no clinical features suggestive of glucocorticoid or androgen excess.

CONCLUSIONS

We investigated the first PUMAH associated with severe Cushing's syndrome and concomitant androgen excess, suggesting pathogenic mechanisms involving KDM1A.

Mild autonomous cortisol secretion: pathophysiology, comorbidities and management approaches

The majority of incidentally discovered adrenal tumours are benign adrenocortical adenomas and the prevalence of adrenocortical adenomas is around 1-7% on cross-sectional abdominal imaging. These can be non-functioning adrenal tumours or they can be associated with autonomous cortisol secretion on a spectrum that ranges from rare clinically overt adrenal Cushing syndrome to the much more prevalent mild autonomous cortisol secretion (MACS) without signs of Cushing syndrome. MACS is diagnosed (based on an abnormal overnight dexamethasone suppression test) in 20-50% of patients with adrenal adenomas. MACS is associated with cardiovascular morbidity, frailty, fragility fractures, decreased quality of life and increased mortality. Management of MACS should be individualized based on patient characteristics and includes adrenalectomy or conservative follow-up with treatment of associated comorbidities. Identifying patients with MACS who are most likely to benefit from adrenalectomy is challenging, as adrenalectomy results in improvement of cardiovascular morbidity in some, but not all, patients with MACS. Of note, diagnosis and management of patients with bilateral MACS is especially challenging. Current gaps in MACS clinical practice include a lack of specific biomarkers diagnostic of MACS-related health outcomes and a paucity of clinical trials demonstrating the efficacy of adrenalectomy on comorbidities associated with MACS. In addition, little evidence exists to demonstrate the efficacy and safety of long-term medical therapy in patients with MACS.

Plasma Steroid Profiling Between Patients With and Without Diabetes Mellitus in Nonfunctioning Adrenal Incidentalomas

Context

Adrenal incidentalomas, including nonfunctioning adrenal incidentalomas (NFAI), are associated with a high prevalence of diabetes mellitus (DM). While NFAI is diagnosed by exclusion when no hormone excess exists, subtle cortisol secretion may exist and contribute to DM development. However, it alone cannot explain the increased risk, and whether other steroid metabolites are involved remains unclear.

Purpose

To investigate steroid metabolites associated with DM in patients with NFAI using plasma steroid profiles.

Methods

Using liquid chromatography-tandem mass spectrometry, 22 plasma steroid metabolites were measured in 68 patients with NFAI (31 men and 37 women). Data were adjusted for age before normalization.

Results

Discriminant analysis showed that plasma steroid profiles discriminated between patients with and without DM in men (n = 10 and = 21, respectively) but not women: 11β-hydroxytestosterone, an adrenal-derived 11-oxygenated androgen, contributed most to this discrimination and was higher in patients with DM than in those without DM (false discovery rate = .002). 11β-hydroxytestosterone was correlated positively with fasting plasma glucose (r = .507) and hemoglobin A1c (HbA1c) (r = .553) but negatively with homeostatic model assessment of β-cell function (HOMA2-B) (r = -.410). These correlations remained significant after adjusting for confounders, including serum cortisol after the 1-mg dexamethasone suppression test. Bayesian kernel machine regression analysis verified the association of 11β-hydroxytestosterone with HbA1c and HOMA2-B in men.

Main Conclusion

Plasma steroid profiles differed between those with and without DM in men with NFAI. 11β-hydroxytestosterone was associated with hyperglycemia and indicators related to pancreatic β-cell dysfunction, independently of cortisol.

Diabetes Mellitus in Non-Functioning Adrenal Incidentalomas: Analysis of the Mild Autonomous Cortisol Secretion (MACS) Impact on Glucose Profile

Non-functioning adrenal incidentalomas (NFAIs) have been placed in relationship with a higher risk of glucose profile anomalies, while the full-blown typical picture of Cushing's syndrome (CS) and associated secondary (glucocorticoid-induced) diabetes mellitus is not explicitly confirmed in this instance. Our objective was to highlight the most recent data concerning the glucose profile, particularly, type 2 diabetes mellitus (T2DM) in NFAIs with/without mild autonomous cortisol secretion (MACS). This was a comprehensive review of the literature; the search was conducted according to various combinations of key terms. We included English-published, original studies across a 5-year window of publication time (from January 2020 until 1 April 2024) on PubMed. We excluded case reports, reviews, studies on T1DM or secondary diabetes, and experimental data. We identified 37 studies of various designs (14 retrospective studies as well 13 cross-sectional, 4 cohorts, 3 prospective, and 2 case-control studies) that analysed 17,391 individuals, with a female-to-male ratio of 1.47 (aged between 14 and 96 years). T2DM prevalence in MACS (affecting 10 to 30% of NFAIs) ranged from 12% to 44%. The highest T2DM prevalence in NFAI was 45.2% in one study. MACS versus (non-MACS) NFAIs (n = 16) showed an increased risk of T2DM and even of prediabetes or higher fasting plasma glucose or HbA1c (no unanimous results). T2DM prevalence was analysed in NFAI (N = 1243, female-to-male ratio of 1.11, mean age of 60.42) versus (non-tumour) controls (N = 1548, female-to-male ratio of 0.91, average age of 60.22) amid four studies, and two of them were confirmatory with respect to a higher rate in NFAIs. Four studies included a sub-group of CS compared to NFAI/MACS, and two of them did not confirm an increased rate of glucose profile anomalies in CS versus NFAIs/ACS. The longest period of follow-up with concern to the glycaemic profile was 10.5 years, and one cohort showed a significant increase in the T2DM rate at 17.9% compared to the baseline value of 0.03%. Additionally, inconsistent data from six studies enrolling 1039 individuals that underwent adrenalectomy (N = 674) and conservative management (N = 365) pinpointed the impact of the surgery in NFAIs. The regulation of the glucose metabolism after adrenalectomy versus baseline versus conservative management (n = 3) was improved. To our knowledge, this comprehensive review included one of the largest recent analyses in the field of glucose profile amid the confirmation of MACS/NFAI. In light of the rising incidence of NFAI/AIs due to easier access to imagery scans and endocrine evaluation across the spectrum of modern medicine, it is critical to assess if these patients have an increased frequency of cardio-metabolic disorders that worsen their overall comorbidity and mortality profile, including via the confirmation of T2DM.

Approach to the Patient With Bilateral Adrenal Masses

Bilateral adrenal masses, increasingly encountered in clinical practice, manifest across diverse contexts, including incidental discovery, malignancy staging, and targeted imaging after hormonal diagnosis of adrenal disorders. The spectrum encompasses various pathologies, such as cortical adenomas, macronodular adrenal disease, pheochromocytomas, myelolipomas, infiltrative disorders, and primary and secondary malignancies. Notably, not all masses in both adrenal glands necessarily share the same etiology, often exhibiting diverse causes. Recently, the European Society of Endocrinology and the European Network for the Study of Adrenal Tumors updated guidelines, introduced a 4-option schema based on imaging, aiding in targeted hormonal testing and management. This "Approach to the Patient" review delves into the latest advancements in imaging, biochemical, and genetic approaches for the diagnostic and management nuances of bilateral adrenal masses. It provides insights and a contemporary framework for navigating the complexities associated with this clinical entity.

Clinical and imaging presentations are associated with function in incidental adrenocortical adenomas: a retrospective cohort study

OBJECTIVE

The aim of this study is to assess whether clinical and imaging characteristics are associated with the hormonal subtype, growth, and adrenalectomy for incidental adrenal cortical adenomas (ACAs).

DESIGN

This is a single-center cohort study.

METHODS

Consecutive adult patients with incidental ACA were diagnosed between 2000 and 2016.

RESULTS

Of the 1516 patients with incidental ACA (median age 59 years, 62% women), 699 (46%) had nonfunctioning adenomas (NFAs), 482 (31%) had mild autonomous cortisol secretion (MACS), 62 (4%) had primary aldosteronism (PA), 39 (3%) had Cushing syndrome, 18 (1%) had PA and MACS, and 226 (15%) had incomplete work-up. Age, sex, tumor size, and tumor laterality, but not unenhanced computed tomography Hounsfield units (HU), were associated with hormonal subtypes. In a multivariable analysis, ≥1 cm growth was associated with younger age (odds ratio [OR] = 0.8 per 5-year increase, P = .0047) and longer imaging follow-up (OR = 1.2 per year, P < .0001). Adrenalectomy was performed in 355 (23%) patients, including 38% of MACS and 15% of NFA. Adrenalectomy for NFA and MACS was more common in younger patients (OR = 0.79 per 5-year increase, P = .002), larger initial tumor size (OR = 2.3 per 1 cm increase, P < .0001), ≥1 cm growth (OR = 15.3, P < .0001), and higher postdexamethasone cortisol (OR = 6.6 for >5 vs <1.8 μg/dL, P = .002).

CONCLUSIONS

Age, sex, tumor size, and laterality were associated with ACA hormonal subtype and can guide diagnosis and management. Tumor growth was more common with younger age and longer follow-up. Unenhanced HU did not predict hormonal subtype or growth. Adrenalectomy for MACS and NFA was mainly performed in younger patients with larger tumor size, growth, and elevated postdexamethasone cortisol.

Inflammation dynamically regulates steroid hormone metabolism and action within macrophages in rheumatoid arthritis

RATIONALE

In inflammatory diseases such as rheumatoid arthritis (RA), steroid metabolism is a central component mediating the actions of immuno-modulatory glucocorticoids and sex steroids. However, the regulation and function of cellular steroid metabolism within key leukocyte populations such as macrophages remain poorly defined. In this study, the inflammatory regulation of global steroid metabolism was assessed in RA macrophages.

METHODS

Bulk RNA-seq data from RA synovial macrophages was used to assess transcripts encoding key enzymes in steroid metabolism and signalling. Changes in metabolism were assessed in synovial fluids, correlated to measures of disease activity and functionally validated in primary macrophage cultures.

RESULTS

RNA-seq revealed a unique pattern of differentially expressed genes, including changes in genes encoding the enzymes 11β-HSD1, SRD5A1, AKR1C2 and AKR1C3. These correlated with disease activity, favouring increased glucocorticoid and androgen levels. Synovial fluid 11β-HSD1 activity correlated with local inflammatory mediators (TNFα, IL-6, IL-17), whilst 11β-HSD1, SRD5A1 and AKR1C3 activity correlated with systemic measures of disease and patient pain (ESR, DAS28 ESR, global disease activity). Changes in enzyme activity were evident in inflammatory activated macrophages in vitro and revealed a novel androgen activating role for 11β-HSD1. Together, increased glucocorticoids and androgens were able to suppress inflammation in macrophages and fibroblast-like-synoviocytes.

CONCLUSIONS

This study underscores the significant increase in androgen and glucocorticoid activation within inflammatory polarized macrophages of the synovium, contributing to local suppression of inflammation. The diminished profile of inactive steroid precursors in postmenopausal women may contribute to disturbances in this process, leading to increased disease incidence and severity.

Patient classification and attribute assessment based on machine learning techniques in the qualification process for surgical treatment of adrenal tumours

Adrenal gland incidentaloma is frequently identified through computed tomography and poses a common clinical challenge. Only selected cases require surgical intervention. The primary aim of this study was to compare the effectiveness of selected machine learning (ML) techniques in proper qualifying patients for adrenalectomy and to identify the most accurate algorithm, providing a valuable tool for doctors to simplify their therapeutic decisions. The secondary aim was to assess the significance of attributes for classification accuracy. In total, clinical data were collected from 33 patients who underwent adrenalectomy. Histopathological assessments confirmed the proper selection of 21 patients for surgical intervention according to the guidelines, with accuracy reaching 64%. Statistical analysis showed that Supported Vector Machines (linear) were significantly better than the baseline (p < 0.05), with accuracy reaching 91%, and imaging features of the tumour were found to be the most crucial attributes. In summarise, ML methods may be helpful in qualifying patients for adrenalectomy.

A Large Benign Adrenocortical Adenoma Cosecreting Testosterone and Cortisol

Most adrenal incidentalomas are benign neoplasms of the adrenal cortex. While the majority are nonfunctional, many secrete cortisol. Androgen- or estrogen-secreting adenomas are rare. A 44-year-old female, with history of hypertension and prediabetes, presented with worsening acne, hirsutism, secondary amenorrhea for 2 years, and a 40-pound weight gain. Laboratory evaluation showed high 24-hour urine free cortisol, suppressed adrenocorticotropic hormone (ACTH) level, indicative of ACTH independent Cushing syndrome, and elevated testosterone and androstenedione. Abdominal computed tomography (CT) revealed a 6.3 × 5.2 × 5.6 cm left adrenal mass. Patient underwent left open adrenalectomy. Pathology revealed benign adrenocortical adenoma. Postoperatively there was a significant improvement in her blood pressure and blood sugar levels, resumption of menses, and complete resolution of hyperandrogenism and hypercortisolism. We describe a patient with an adrenal adenoma cosecreting cortisol and androgen, leading to Cushing syndrome and significant virilization. Adrenal masses secreting androgens are less common and concerning for adrenocortical carcinoma (ACC). Patients with adrenal masses cosecreting multiple hormones should undergo workup expediently since ACC confers poor outcomes.

Proteomics-Derived Biomarker Panel Facilitates Distinguishing Primary Lung Adenocarcinomas With Intestinal or Mucinous Differentiation From Lung Metastatic Colorectal Cancer

The diagnosis of primary lung adenocarcinomas with intestinal or mucinous differentiation (PAIM) remains challenging due to the overlapping histomorphological, immunohistochemical (IHC), and genetic characteristics with lung metastatic colorectal cancer (lmCRC). This study aimed to explore the protein biomarkers that could distinguish between PAIM and lmCRC. To uncover differences between the two diseases, we used tandem mass tagging-based shotgun proteomics to characterize proteomes of formalin-fixed, paraffin-embedded tumor samples of PAIM (n = 22) and lmCRC (n = 17).Then three machine learning algorithms, namely support vector machine (SVM), random forest, and the Least Absolute Shrinkage and Selection Operator, were utilized to select protein features with diagnostic significance. These candidate proteins were further validated in an independent cohort (PAIM, n = 11; lmCRC, n = 19) by IHC to confirm their diagnostic performance. In total, 105 proteins out of 7871 proteins were significantly dysregulated between PAIM and lmCRC samples and well-separated two groups by Uniform Manifold Approximation and Projection. The upregulated proteins in PAIM were involved in actin cytoskeleton organization, platelet degranulation, and regulation of leukocyte chemotaxis, while downregulated ones were involved in mitochondrial transmembrane transport, vasculature development, and stem cell proliferation. A set of ten candidate proteins (high-level expression in lmCRC: CDH17, ATP1B3, GLB1, OXNAD1, LYST, FABP1; high-level expression in PAIM: CK7 (an established marker), NARR, MLPH, S100A14) was ultimately selected to distinguish PAIM from lmCRC by machine learning algorithms. We further confirmed using IHC that the five protein biomarkers including CDH17, CK7, MLPH, FABP1 and NARR were effective biomarkers for distinguishing PAIM from lmCRC. Our study depicts PAIM-specific proteomic characteristics and demonstrates the potential utility of new protein biomarkers for the differential diagnosis of PAIM and lmCRC. These findings may contribute to improving the diagnostic accuracy and guide appropriate treatments for these patients.

Urine steroid metabolomics as a diagnostic tool in primary aldosteronism

Primary aldosteronism (PA) causes 5-10% of hypertension cases, but only a minority of patients are currently diagnosed and treated because of a complex, stepwise, and partly invasive workup. We tested the performance of urine steroid metabolomics, the computational analysis of 24-hour urine steroid metabolome data by machine learning, for the identification and subtyping of PA. Mass spectrometry-based multi-steroid profiling was used to quantify the excretion of 34 steroid metabolites in 24-hour urine samples from 158 adults with PA (88 with unilateral PA [UPA] due to aldosterone-producing adenomas [APAs]; 70 with bilateral PA [BPA]) and 65 sex- and age-matched healthy controls. All APAs were resected and underwent targeted gene sequencing to detect somatic mutations associated with UPA. Patients with PA had increased urinary metabolite excretion of mineralocorticoids, glucocorticoids, and glucocorticoid precursors. Urine steroid metabolomics identified patients with PA with high accuracy, both when applied to all 34 or only the three most discriminative steroid metabolites (average areas under the receiver-operating characteristics curve [AUCs-ROC] 0.95-0.97). Whilst machine learning was suboptimal in differentiating UPA from BPA (average AUCs-ROC 0.65-0.73), it readily identified APA cases harbouring somatic KCNJ5 mutations (average AUCs-ROC 0.79-85). These patients showed a distinctly increased urine excretion of the hybrid steroid 18-hydroxycortisol and its metabolite 18-oxo-tetrahydrocortisol, the latter identified by machine learning as by far the most discriminative steroid. In conclusion, urine steroid metabolomics is a non-invasive candidate test for the accurate identification of PA cases and KCNJ5-mutated APAs.

An updated clinico-investigative approach to diagnosis of cutaneous hyperandrogenism in relation to adult female acne, female pattern alopecia & hirsutism a primer for dermatologists

INTRODUCTION

Hyperandrogenism is a clinical state consequent to excess androgen production by the ovary, adrenals, or increased peripheral conversion of androgens. The varied manifestations of hyperandrogenism include seborrhea, acne, infertility, hirsutism, or overt virilization of which adult female acne, hirsutism, and female pattern hair loss are of clinical relevance to dermatologists.

AREAS COVERED

We limited our narrative review to literature published during period from 1 January 1985 to Dec 2022 and searched PubMed/MEDLINE, Web of Science (WOS), Scopus, and Embase databases with main search keywords were 'Hyperandrogenism,' 'Female,' 'Biochemical,' 'Dermatological', and 'Dermatology.' We detail the common etiological causes, nuances in interpretation of biochemical tests and imaging tools, followed by an algorithmic approach which can help avoid extensive tests and diagnose the common causes of hyperandrogenism.

EXPERT OPINION

Based on current data, total testosterone, sex hormone binding globulin, DHEAS, prolactin, free androgen index, and peripheral androgenic metabolites like 3-alpha diol and androsterone glucuronide are ideal tests though not all are required in all patients. Abnormalities in these biochemical investigations may require radiological examination for further clarification. Total testosterone levels can help delineate broadly the varied causes of hyperandrogenism. Serum AMH could be used for defining PCOM in adults.

Impact of frailty on complications and length of stay after minimally invasive adrenalectomy surgery

BACKGROUND

Adrenal disease requiring surgery incidence increases with age, and minimally invasive adrenalectomy procedures have improved the safety of adrenal surgery. This study evaluates the perioperative outcomes of elective adrenalectomies when performed in older patients and how frailty affects such outcomes.

METHODS

Patients undergoing elective minimally invasive adrenalectomy were identified using the American College of Surgeon's National Surgical Quality Improvement Program Participant Use Targeted File years 2005 to 2020. The surgical indication was categorized as a benign disease, an endocrine disorder, or a malignant disease. Frailty was defined using the 5-item modified frailty index. Multivariable regressions were used to model the relationship of age and frailty with surgical outcomes.

RESULTS

In 8,693 minimally invasive adrenalectomy patients, 5,281 (61%) were female, 5,026 (58%) were White, and 1,924 (22%) were aged 65 years or older. Surgical indications were benign disease 5,487 (63%), endocrinopathy 2,850 (33%), and malignancy 356 (4%). Patients aged <65 years (compared to those aged ≥65) were more likely to have a 5-item modified frailty index = 0 (26% vs 14%, respectively) and less likely to have a 5-item modified frailty index = ≥3 (2% vs 4%, respectively; P < .001).

OUTCOMES

30-day mortality 20 (0.2%), complications 459 (5%), return to operating room 73 (0.8%), and median length of stay 2 days. Thirty-day mortality was associated with a 5-item modified frailty index ≥3 (P = .009) and endocrine disease (P = .005) but not with age. Complications were associated with a 5-item modified frailty index ≥2 (≤P < .001) and malignant disease (P = .002), but not with age.

CONCLUSION

Minimally invasive adrenalectomy has low 30-day mortality and complication rates that increase with frailty and not age. Frailty is a better predictor than the age of most adverse outcomes after elective minimally invasive adrenalectomy.

Translating the potential of the urine steroid metabolome to stage NAFLD (TrUSt-NAFLD): study protocol for a multicentre, prospective validation study

INTRODUCTION

Non-alcoholic fatty liver disease (NAFLD) affects approximately one in four individuals and its prevalence continues to rise. The advanced stages of NAFLD with significant liver fibrosis are associated with adverse morbidity and mortality outcomes. Currently, liver biopsy remains the 'gold-standard' approach to stage NAFLD severity. Although generally well tolerated, liver biopsies are associated with significant complications, are resource intensive, costly, and sample only a very small area of the liver as well as requiring day case admission to a secondary care setting. As a result, there is a significant unmet need to develop non-invasive biomarkers that can accurately stage NAFLD and limit the need for liver biopsy. The aim of this study is to validate the use of the urine steroid metabolome as a strategy to stage NAFLD severity and to compare its performance against other non-invasive NAFLD biomarkers.

METHODS AND ANALYSIS

The TrUSt-NAFLD study is a multicentre prospective test validation study aiming to recruit 310 patients with biopsy-proven and staged NAFLD across eight centres within the UK. 150 appropriately matched control patients without liver disease will be recruited through the Oxford Biobank. Blood and urine samples, alongside clinical data, will be collected from all participants. Urine samples will be analysed by liquid chromatography-tandem mass spectroscopy to quantify a panel of predefined steroid metabolites. A machine learning-based classifier, for example, Generalized Matrix Relevance Learning Vector Quantization that was trained on retrospective samples, will be applied to the prospective steroid metabolite data to determine its ability to identify those patients with advanced, as opposed to mild-moderate, liver fibrosis as a consequence of NAFLD.

ETHICS AND DISSEMINATION

Research ethical approval was granted by West Midlands, Black Country Research Ethics Committee (REC reference: 21/WM/0177). A substantial amendment (TrUSt-NAFLD-SA1) was approved on 26 November 2021.

TRIAL REGISTRATION NUMBER

ISRCTN19370855.

Incidence, Treatment, and Survival of Adrenocortical Carcinoma in Denmark 2003-2019

Objectives

Adrenocortical carcinoma (ACC) is a malignant tumor originating from the adrenal cortex. The aim of the study was to report the incidence of ACC and survival of ACC in Denmark. The secondary objective was to describe the impact of treatment with mitotane on survival.

Design

Retrospective population study of patients diagnosed with ACC between 2003 and 2019 in Denmark.

Methods

Individuals at risk for ACC were identified in the national Danish Health registries, and diagnosis of ACC was confirmed by review of the health records. Data on demographics, presentation, treatment, recurrence, and death was evaluated.

Results

138 patients were included in the study with more females (59.4%) than males (40.6%). Incidence rate was 1.4 per million per year. The incidence rate ratio significantly increased only in females by 1.06 [95% confidence interval (CI): 1.02-1.12] per year. Overall median survival was 1.93 (95% CI: 1.24-3.00) years with no differences between males and females. The proportion of patients treated with mitotane (either as adjuvant treatment or as part of a chemotherapeutic regime) was 72.3%. Survival was significantly decreased in women not treated with mitotane compared to women treated with mitotane (either as adjuvant or as part of a chemotherapeutic regime) hazards ratio .30 (95% CI: .10-.89), adjusted for European Network for the Study of Adrenal Tumours score, age at diagnosis, and year of diagnosis, but survival was unaffected by mitotane treatment in men.

Conclusion

Incidence of ACC in Denmark was 1.4 per million per year and increased in women but not in males during the study period 2003-2019.

Steroid profiling in adrenal disease

The measurement of steroid hormones in blood and urine, which reflects steroid biosynthesis and metabolism, has been recognized as a valuable tool for identifying and distinguishing steroidogenic disorders. The application of mass spectrometry enables the reliable and simultaneous analysis of large panels of steroids, ushering in a new era for diagnosing adrenal diseases. However, the interpretation of complex hormone results necessitates the expertise and experience of skilled clinicians. In this scenario, machine learning techniques are gaining worldwide attention within healthcare fields. The clinical values of combining mass spectrometry-based steroid profiles analysis with machine learning models, also known as steroid metabolomics, have been investigated for identifying and discriminating adrenal disorders such as adrenocortical carcinomas, adrenocortical adenomas, and congenital adrenal hyperplasia. This promising approach is expected to lead to enhanced clinical decision-making in the field of adrenal diseases. This review will focus on the clinical performances of steroid profiling, which is measured using mass spectrometry and analyzed by machine learning techniques, in the realm of decision-making for adrenal diseases.

Treating Primary Aldosteronism-Induced Hypertension: Novel Approaches and Future Outlooks

Primary aldosteronism (PA) is the most common cause of secondary hypertension and is associated with increased morbidity and mortality when compared with blood pressure-matched cases of primary hypertension. Current limitations in patient care stem from delayed recognition of the condition, limited access to key diagnostic procedures, and lack of a definitive therapy option for nonsurgical candidates. However, several recent advances have the potential to address these barriers to optimal care. From a diagnostic perspective, machine-learning algorithms have shown promise in the prediction of PA subtypes, while the development of noninvasive alternatives to adrenal vein sampling (including molecular positron emission tomography imaging) has made accurate localization of functioning adrenal nodules possible. In parallel, more selective approaches to targeting the causative aldosterone-producing adrenal adenoma/nodule (APA/APN) have emerged with the advent of partial adrenalectomy or precision ablation. Additionally, the development of novel pharmacological agents may help to mitigate off-target effects of aldosterone and improve clinical efficacy and outcomes. Here, we consider how each of these innovations might change our approach to the patient with PA, to allow more tailored investigation and treatment plans, with corresponding improvement in clinical outcomes and resource utilization, for this highly prevalent disorder.

Delineating endogenous Cushing's syndrome by GC-MS urinary steroid metabotyping

BACKGROUND

Diagnosing Cushing's syndrome (CS) is highly complex. As the diagnostic potential of urinary steroid metabolome analysis by gas chromatography-mass spectrometry (GC-MS) in combination with systems biology has not yet been fully exploited, we studied a large cohort of patients with CS.

METHODS

We quantified daily urinary excretion rates of 36 steroid hormone metabolites. Applying cluster analysis, we investigated a control group and 168 patients: 44 with Cushing's disease (CD) (70% female), 18 with unilateral cortisol-producing adrenal adenoma (83% female), 13 with primary bilateral macronodular adrenal hyperplasia (PBMAH) (77% female), and 93 ruled-out CS (73% female).

FINDINGS

Cluster-Analysis delineated five urinary steroid metabotypes in CS. Metabotypes 1, 2 and 3 revealing average levels of cortisol and adrenal androgen metabolites included patients with exclusion of CS or and healthy controls. Metabotype 4 reflecting moderately elevated cortisol metabolites but decreased DHEA metabolites characterized the patients with unilateral adrenal CS and PBMAH. Metabotype 5 showing strong increases both in cortisol and DHEA metabolites, as well as overloaded enzymes of cortisol inactivation, was characteristic of CD patients. 11-oxygenated androgens were elevated in all patients with CS. The biomarkers THS, F, THF/THE, and (An + Et)/(11β-OH-An + 11β-OH-Et) correctly classified 97% of patients with CS and 95% of those without CS. An inverse relationship between 11-deoxygenated and 11-oxygenated androgens was typical for the ACTH independent (adrenal) forms of CS with an accuracy of 95%.

INTERPRETATION

GC-MS based urinary steroid metabotyping allows excellent identification of patients with endogenous CS and differentiation of its subtypes.

FUNDING

The study was funded by the Else Kröner-Fresenius-Stiftung and the Eva-Luise-und-Horst-Köhler-Stiftung.

Early Detection of Recurrence and Progress Using Serum Steroid Profiling by LC-MS/MS in Patients with Adrenocortical Carcinoma

Serum liquid chromatography-tandem mass spectrometry (LC-MS/MS) steroid profiling is used for the diagnosis of adrenocortical carcinoma (ACC). Guidelines recommend endocrine work-up in addition to radiological imaging for follow-up in ACC, but data on this topic are scarce. Patients were included in this retrospective study if pre-therapeutic hormone values, regular tumour evaluation by imaging, steroid measurements by LC-MS/MS, and details on therapies were available. The utility of steroid profiles in detecting recurrence or disease progression was assessed, whereby "endocrine progress" was defined by an elevation of at least 3 of 13 analysed hormones. Cohort A included 47 patients after R0 resection, of whom 15 experienced recurrence and 32 did not. In cohort B, 52 patients with advanced disease (including 7 patients of cohort A with recurrence) could be evaluated on 74 visits when progressive disease was documented. In 20 of 89 cases with documented disease progression, "endocrine progress" was detectable prior to radiological progress. In these cases, recurrence/progression was detected at a median of 32 days earlier by steroid measurement than by imaging, with 11-deoxycortisol and testosterone being the most sensitive markers. Notably, these patients had significantly larger tumour burden. In conclusion, steroid profiling by LC-MS/MS is of value in detecting recurrent/progressive disease in ACC.

Effect of ultrasound-guided lumbar square muscle block on stress response in patients undergoing radical gastric cancer surgery

BACKGROUND

Radical surgery is a common treatment for patients with gastric cancer; however, it can lead to postoperative complications and intestinal barrier dysfunction. Ultrasound-guided quadratus lumborum block is often used for postoperative analgesia, but its effects on stress response and intestinal barrier function are not well understood.

AIM

To investigate the effects of an ultrasound-guided quadratus lumborum block on stress response and intestinal barrier function in patients undergoing radical surgery for gastric cancer.

METHODS

A total of 100 patients undergoing radical surgery for gastric cancer were randomly categorized into observation and control groups. Plasma adrenaline and cortisol levels, intestinal mucosal barrier indexes, and complication rates were compared between the two groups before, during, and 1 day after surgery.

RESULTS

The observation group had significantly lower plasma adrenaline and cortisol levels during surgery and at 1 day postoperatively than that of the control group (P < 0.05). Additionally, intestinal barrier indexes (endotoxin and D-dimer) at 1 day postoperatively were significantly lower in the observation group than in the control group (P < 0.05).

CONCLUSION

Ultrasound-guided quadratus lumborum block could reduce stress response, protect intestinal barrier function, and decrease the incidence of complications in patients undergoing radical surgery for gastric cancer. This technique has the potential for clinical applications.

Advances in translational research of the rare cancer type adrenocortical carcinoma

Adrenocortical carcinoma is a rare malignancy with an annual worldwide incidence of 1-2 cases per 1 million and a 5-year survival rate of <60%. Although adrenocortical carcinoma is rare, such rare cancers account for approximately one third of patients diagnosed with cancer annually. In the past decade, there have been considerable advances in understanding the molecular basis of adrenocortical carcinoma. The genetic events associated with adrenocortical carcinoma in adults are distinct from those of paediatric cases, which are often associated with germline or somatic TP53 mutations and have a better prognosis. In adult primary adrenocortical carcinoma, the main somatic genetic alterations occur in genes that encode proteins involved in the WNT-β-catenin pathway, cell cycle and p53 apoptosis pathway, chromatin remodelling and telomere maintenance pathway, cAMP-protein kinase A (PKA) pathway or DNA transcription and RNA translation pathways. Recently, integrated molecular studies of adrenocortical carcinomas, which have characterized somatic mutations and the methylome as well as gene and microRNA expression profiles, have led to a molecular classification of these tumours that can predict prognosis and have helped to identify new therapeutic targets. In this Review, we summarize these recent translational research advances in adrenocortical carcinoma, which it is hoped could lead to improved patient diagnosis, treatment and outcome.

Retroperitoneoscopic enucleation adrenalectomy: a viable surgical option for small nonsecreting adrenal tumors with low potential of malignancy

Laparoscopic total adrenalectomy has become the standard treatment for adrenal mass. Meanwhile, there has been a growing trend toward laparoscopic adrenal-sparing surgery worldwide to avoid the risk and potential complications of adrenal insufficiency. The objectives of this study were to describe a retroperitoneoscopic adrenal tumor enucleation technique, to assess the clinical outcomes of this technique in the treatment of 20-40 mm nonsecreting adrenal tumor (NAT) with low potential of malignancy, and to provide a feasible choice for patients who have preference on resection. This study was a retrospective analysis of 61 patients with low potential of malignancy in 20-40 mm NAT identified at the first imaging examination or during follow-up. All patients were scheduled for planned enucleation adrenalectomy by a single surgeon between July 2016 and December 2020 in Xuanwu Hospital, Beijing, China. In all patients, retroperitoneoscopic surgery was performed via a retroperitoneoscopic process for all the patients. The crucial techniques of enucleation are presented in the video. Safety and feasibility factors of enucleation technique were measured for this study. No blood transfusion or organ injury was registered during the operation. The median operation time was 75 min, and the median blood loss was 35 mL. All operations were successfully performed without open conversion. A total of 58 patients received successful enucleation surgery. Three cases were converted to retroperitoneoscopic total adrenalectomy. In this study, surgical outcomes of retroperitoneoscopic enucleation adrenalectomy as a method to remove adrenal tumors were assessed. This procedure is a feasible and safe technique with the added benefit of preserving the remaining functional adrenal tissue.

Landscape of Adrenal Tumours in Patients with Congenital Adrenal Hyperplasia

Our aim is to update the topic of adrenal tumours (ATs) in congenital adrenal hyperplasia (CAH) based on a multidisciplinary, clinical perspective via an endocrine approach. This narrative review is based on a PubMed search of full-length, English articles between January 2014 and July 2023. We included 52 original papers: 9 studies, 8 case series, and 35 single case reports. Firstly, we introduce a case-based analysis of 59 CAH-ATs cases with four types of enzymatic defects (CYP21A2, CYP17A1, CYP17B1, and HSD3B2). Secondarily, we analysed prevalence studies; their sample size varied from 53 to 26,000 individuals. AT prevalence among CAH was of 13.3-20%. CAH prevalence among individuals with previous imaging diagnosis of AT was of 0.3-3.6%. Overall, this 10-year, sample-based analysis represents one of the most complex studies in the area of CAH-ATs so far. These masses should be taken into consideration. They may reach impressive sizes of up to 30-40 cm, with compressive effects. Adrenalectomy was chosen based on an individual multidisciplinary decision. Many tumours are detected in subjects with a poor disease control, or they represent the first step toward CAH identification. We noted a left lateralization with a less clear pathogenic explanation. The most frequent tumour remains myelolipoma. The risk of adrenocortical carcinoma should not be overlooked. Noting the increasing prevalence of adrenal incidentalomas, CAH testing might be indicated to identify non-classical forms of CAH.

Inflammation-based scores in benign adrenocortical tumours are linked to the degree of cortisol excess: a retrospective single-centre study

OBJECTIVE

Benign adrenocortical tumours are diagnosed in ∼5% of adults and are associated with cortisol excess in 30%-50% of cases. Adrenal Cushing's syndrome (CS) is rare and leads to multiple haematological alterations. However, little is known about the effects of the much more frequent mild autonomous cortisol secretion (MACS) on immune function. The aim of this study was to evaluate the haematological alterations in benign adrenocortical tumours with different degrees of cortisol excess.

DESIGN AND METHODS

We investigated 375 patients: 215 with non-functioning adrenal tumours (NFAT), 138 with MACS, and 22 with CS. We evaluated the relationship between the degree of cortisol excess and full blood count as well as multiple inflammation-based scores, including the neutrophil-to-lymphocyte ratio (NLR), the lymphocyte-to-monocyte ratio (LMR), and the systemic immune-inflammation index (SII).

RESULTS

We observed a gradual and significant increase of leucocytes, neutrophils, and monocytes across the spectrum of cortisol excess, from NFAT over MACS to CS. Neutrophil-to-lymphocyte ratio and SII were significantly higher in both MACS and CS when compared to NFAT (P < .001 and P = .002 for NLR and P = .006 and P = .021 for SII, respectively). Conversely, LMR was lower in MACS and CS than in NFAT (P = .01 and <.001, respectively) but also significantly lower in CS compared to MACS (P = .007).

CONCLUSIONS

Neutrophil-to-lymphocyte ratio, SII, and LMR correlated with the degree of cortisol excess in benign adrenocortical tumours and were altered in patients with CS and MACS. These findings suggest that, similar to clinically overt CS, MACS also affects the immune function, potentially contributing to the MACS-associated comorbidities.