Evidence of 11 beta-hydroxylase deficiency in childhood adrenocortical tumors. The plasma corticosterone/11-deoxycorticosterone ratio as a possible marker for malignancy

[Steroid profiling characteristics in pediatrc adrenal diseases]

BACKGROUND

Adrenocortical adenomas are often followed with steroid hormones hyperproduction, and therefore determination of their concentration plays an important role in the differential diagnosis of adrenal diseases. Steroid profiling by tandem mass spectrometry is one of the main diagnostic methods in steroidogenesis characterization. Currently plasma and urinary steroid profiling is of particular interest in differential diagnosis and subtyping patients with adrenocortical adenomas.

AIM

Steroid profiling of pediatric patients with adrenal diseases (incidentalomas, ACTH-secreting pituitary adenoma, ACTH-independent Cushing syndrome, premature adrenarche).

MATERIALS AND METHODS

We conducted a retrospective analysis of steroid profile of 41 pediatric patients with adrenal diseases who were observed between 2005 and 2020 at the Endocrinology Research Centre.

RESULTS

All patients were divided into groups due to diagnosis: with ACTH-secreting pituitary adenoma [n=7], ACTH-independent Cushing syndrome (autonomous cortisol secretion by an adrenal adenoma) [n=4], with incidentaloma [n=7] and premature adrenarche [n=23]. In group of patients with ACTH-independent Cushing syndrome identified statistically significant higher levels of 11-deoxycortisol (р=0, 0035) and significant lower levels of 17-hydroxypregnenolone (р=0, 0026) and DHEA (р=0, 0047) compared to other groups. Statistically significant differences in steroid profiles between other groups were not identified.

CONCLUSION

Results of our study steroid profiling can be used as additional differential diagnosis method in patients with adrenocortical adenomas with or without hormonal hyperproduction (ACTH-independent Cushing syndrome and incidentaloma). Further studies are needed to identify steroid markers for subtyping pediatric adrenal diseases.

How to Differentiate Benign from Malignant Adrenocortical Tumors?

Simple Summary

Adrenocortical carcinoma is a rare cancer with a poor prognosis. Adrenal tumors are, however, commonly identified in clinical practice. Discrimination between benign and malignant adrenal tumors is of great importance to determine the appropriate treatment and follow-up strategy. This review summarizes the current diagnostic strategies and challenges to distinguish benign from malignant adrenal lesions. We will focus both on radiological and biochemical assessments, enabling diagnosis of the adrenal lesion preoperatively, and on histopathological and a wide variety of molecular assessments that can be done after surgical removal of the adrenal lesion. Furthermore, new non-invasive strategies such as liquid biopsies, in which blood samples are used to study circulating tumor cells, tumor DNA and microRNA, will be addressed in this review.

Abstract

Adrenocortical carcinoma (ACC) is a rare cancer with a poor prognosis. Adrenal incidentalomas are, however, commonly identified in clinical practice. Discrimination between benign and malignant adrenal tumors is of great importance considering the large differences in clinical behavior requiring different strategies. Diagnosis of ACC starts with a thorough physical examination, biochemical evaluation, and imaging. Computed tomography is the first-level imaging modality in adrenal tumors, with tumor size and Hounsfield units being important features for determining malignancy. New developments include the use of urine metabolomics, also enabling discrimination of ACC from adenomas preoperatively. Postoperatively, the Weiss score is used for diagnosis of ACC, consisting of nine histopathological criteria. Due to known limitations as interobserver variability and lack of accuracy in borderline cases, much effort has been put into new tools to diagnose ACC. Novel developments vary from immunohistochemical markers and pathological scores, to markers at the level of DNA, methylome, chromosome, or microRNA. Molecular studies have provided insights into the most promising and most frequent alterations in ACC. The use of liquid biopsies for diagnosis of ACC is studied, although in a small number of patients, requiring further investigation. In this review, current diagnostic modalities and challenges in ACC will be addressed.

Analysis of steroid profiles by mass spectrometry: A new tool for exploring adrenal tumors?

The assay of multiple steroids by mass spectrometry coupled with chromatography, combined with data analysis using an artificial intelligence approach, has become more widely accessible in recent years. Multiple applications for this technology exist for the study of adrenocortical tumors. Taking advantage of the capacity of malignant cortical tumor secretion of non-bioactive precursors, it provides an additional diagnostic approach that can point to the nature of a tumor. These encouraging perspectives have been based to date only on pilot retrospective studies. However, this has changed in 2020 with the publication of data from the EURINE-ACT study. This very large prospective European study provided more nuanced evidence for the benefit of combining the measurement of a panel of steroids with essential imaging tools. This study also facilitated our understanding and provided more precise characterisation of autonomous steroid secretion, particularly in the case of sublinical cortisol-secreting adrenocortical adenomas. This article will focus on our current knowledge on the potential utility of mass spectrometry for diagnosis of both the nature of an adrenal tumors and their secretion.

Multiples of Median-Transformed, Normalized Reference Ranges of Steroid Profiling Data Independent of Age, Sex, and Units

BACKGROUND/AIMS

The high complexity of pediatric reference ranges across age, sex, and units impairs clinical application and comparability of steroid hormone data, e.g., in congenital adrenal hyperplasia (CAH). We developed a multiples-of-median (MoM) normalization tool to overcome this major drawback in pediatric endocrinology.

METHODS

Liquid chromatography tandem mass spectrometry data comprising 10 steroid hormones representing 905 controls (555 males, 350 females, 0 to > 16 years) from 2 previous datasets were MoM transformed across age and sex. Twenty-three genetically proven CAH patients were included (21-hydroxylase deficiency [21OHD], n = 19; 11β-hydroxylase deficiency [11OHD], n = 4). MoM cutoffs for single steroids predicting 21OHD and 11OHD were computed and validated through new, independent patients (21OHD, n = 8; adrenal cortical carcinoma, n = 6; obesity, n = 40).

RESULTS

21OHD and 11OHD patients showed disease-typical, easily recognizable MoM patterns independent of age, sex, and concentration units. Two single-steroid cutoffs indicated 21OHD: 3.87 MoM for 17-hydroxyprogesterone (100% sensitivity and 98.83% specificity) and 12.28 MoM for 21-deoxycortisol (94.74% sensitivity and 100% specificity). A cutoff of 13.18 MoM for 11-deoxycortisol indicated 11OHD (100% sensitivity and 100% specificity).

CONCLUSIONS

Age- and sex-independent MoMs are straightforward for a clinically relevant display of multi-steroid patterns. In addition, defined single-steroid MoMs can serve alone as predictors of 21OHD and 11OHD. Finally, MoM transformation offers substantial enhancement of routine and scientific steroid hormone data exchange due to improved comparability.

The role of steroid metabolome analysis for the diagnosis and follow-up of adrenocortical tumors

The diagnostic work-up of adrenal tumors, often incidentally discovered, has emerged as an ever-increasing diagnostic problem for clinical endocrinologists. No imaging modality has sufficiently high sensitivity and specificity at differentiating benign from malignant adrenal lesions. It has long been observed that adrenocortical carcinomas (ACCs) present an immature pattern of steroidogenesis, dominated by steroid hormone precursors. Modern mass spectrometry-based assays can generate multi-steroid metabolite profiles in urine collections, which can detect differences between ACCs and benign adrenocortical adenomas (ACAs). This review summarizes the promising results of studies which have applied steroid metabolite profiling in biological fluids as a novel diagnostic tool for patients with adrenal tumors, as well as the challenges and limitations of this approach. It also discusses the potential role of steroid profiling as a biochemical surveillance tool to detect recurrence in patients who have undergone resection of an ACC.

A 13-Steroid Serum Panel Based on LC-MS/MS: Use in Detection of Adrenocortical Carcinoma

BACKGROUND

Adrenocortical carcinoma (ACC) is a rare malignancy, with an annual incidence of 1 or 2 cases per million. Biochemical diagnosis is challenging because up to two-thirds of the carcinomas are biochemically silent, resulting from de facto enzyme deficiencies in steroid hormone biosynthesis. Urine steroid profiling by GC-MS is an effective diagnostic test for ACC because of its capacity to detect and quantify the increased metabolites of steroid pathway synthetic intermediates. Corresponding serum assays for most steroid pathway intermediates are usually unavailable because of low demand or lack of immunoassay specificity. Serum steroid analysis by LC-MS/MS is increasingly replacing immunoassay, in particular for steroids most subject to cross-reaction.

METHODS

We developed an LC-MS/MS method for the measurement of serum androstenedione, corticosterone, cortisol, cortisone, 11-deoxycorticosterone, 11-deoxycortisol, 21-deoxycortisol, dehydroepiandrosterone sulfate, pregnenolone, 17-hydroxypregnenolone, progesterone, 17-hydroxyprogesterone, and testosterone. Assay value in discriminating ACC from other adrenal lesions (phaeochromocytoma/paraganglioma, cortisol-producing adenoma, and lesions demonstrating no hormonal excess) was then investigated.

RESULTS

In ACC cases, between 4 and 7 steroids were increased (median = 6), and in the non-ACC groups, up to 2 steroids were increased. 11-Deoxycortisol was markedly increased in all cases of ACC. All steroids except testosterone in males and corticosterone and cortisone in both sexes were of use in discriminating ACC from non-ACC adrenal lesions.

CONCLUSIONS

Serum steroid paneling by LC-MS/MS is useful for diagnosing ACC by combining the measurement of steroid hormones and their precursors in a single analysis.

Clinical perspectives in congenital adrenal hyperplasia due to 11β-hydroxylase deficiency

Congenital adrenal hyperplasia due to 11 beta-hydroxylase deficiency is a rare autosomal recessive genetic disorder. It is caused by reduced or absent activity of 11β-hydroxylase (CYP11B1) enzyme and the resultant defects in adrenal steroidogenesis. The most common clinical features of 11 beta-hydroxylase deficiency are ambiguous genitalia, accelerated skeletal maturation and resultant short stature, peripheral precocious puberty and hyporeninemic hypokalemic hypertension. The biochemical diagnosis is based on raised serum 11-deoxycortisol and 11-deoxycorticosterone levels together with increased adrenal androgens. More than 100 mutations in CYP11B1 gene have been reported to date. The level of in-vivo activity of CYP11B1 relates to the degree of severity of 11 beta-hydroxylase deficiency. Clinical management of 11 beta-hydroxylase deficiency can pose a challenge to maintain adequate glucocorticoid dosing to suppress adrenal androgen excess while avoiding glucocorticoid-induced side effects. The long-term outcomes of clinical and surgical management are not well studied. This review article aims to collate the current available data about 11 beta-hydroxylase deficiency and its management.

Performance enhancement in the measurement of 5 endogenous steroids by LC-MS/MS combined with differential ion mobility spectrometry

BACKGROUND

Challenges for steroid analysis by LC-MS/MS include low ionization efficiency, endogenous isobars with similar fragmentation patterns and chromatographic retention. Differential ion mobility spectrometry (DMS) provides an additional degree of separation prior to MS/MS detection, and shows promise in improving specificity of analysis. We developed a sensitive and specific method for measurement of corticosterone, 11-deoxycortisol, 11-deoxycorticosterone, 17-hydroxyprogesterone and progesterone in human serum and plasma using an ABSciex 5500 mass spectrometer equipped with a differential ion mobility interface.

METHODS

250μL aliquots of serum were spiked with deuterated internal standards and extracted with MTBE. The samples were analyzed using positive mode electrospray LC-DMS-MS/MS. The method was validated and compared with immunoassays and LC-MS/MS methods of reference laboratories.

RESULTS

Inter and intra assay imprecision was <10%. Limits of quantification and detection in nmol/L were 0.18, 0.09 for corticosterone and 17-hydroxyprogesterone, 0.30, 0.16 for 11-deoxycortisol, 0.12, 0.06 for progesterone and 0.06, 0.03 for 11-deoxycorticosterone. Comparison for progesterone and 17-hydroxyprogesterone with immunoassay showed slopes of 0.97 and 1.0, intercepts of 0.16 and 0.10 and coefficients of determination (r(2)) of 0.92 and 0.97, respectively. Progesterone by immunoassay showed positive bias in samples measuring <3.18nmol/L. Reference intervals for progesterone and 11-deoxycorticosterone in post-menopausal women were found to be <2.88 and <0.28nmol/L respectively.

CONCLUSIONS

We developed and validated an LC-DMS-MS/MS method for analysis of five endogenous steroids suitable for routine measurements in clinical diagnostic laboratories. Specificity gained with DMS allows reducing the complexity of sample preparation, decreasing LC run times and increasing speed of the analysis.

Urine steroid metabolomics as a biomarker tool for detecting malignancy in adrenal tumors

CONTEXT

Adrenal tumors have a prevalence of around 2% in the general population. Adrenocortical carcinoma (ACC) is rare but accounts for 2-11% of incidentally discovered adrenal masses. Differentiating ACC from adrenocortical adenoma (ACA) represents a diagnostic challenge in patients with adrenal incidentalomas, with tumor size, imaging, and even histology all providing unsatisfactory predictive values.

OBJECTIVE

Here we developed a novel steroid metabolomic approach, mass spectrometry-based steroid profiling followed by machine learning analysis, and examined its diagnostic value for the detection of adrenal malignancy.

DESIGN

Quantification of 32 distinct adrenal derived steroids was carried out by gas chromatography/mass spectrometry in 24-h urine samples from 102 ACA patients (age range 19-84 yr) and 45 ACC patients (20-80 yr). Underlying diagnosis was ascertained by histology and metastasis in ACC and by clinical follow-up [median duration 52 (range 26-201) months] without evidence of metastasis in ACA. Steroid excretion data were subjected to generalized matrix learning vector quantization (GMLVQ) to identify the most discriminative steroids.

RESULTS

Steroid profiling revealed a pattern of predominantly immature, early-stage steroidogenesis in ACC. GMLVQ analysis identified a subset of nine steroids that performed best in differentiating ACA from ACC. Receiver-operating characteristics analysis of GMLVQ results demonstrated sensitivity = specificity = 90% (area under the curve = 0.97) employing all 32 steroids and sensitivity = specificity = 88% (area under the curve = 0.96) when using only the nine most differentiating markers.

CONCLUSIONS

Urine steroid metabolomics is a novel, highly sensitive, and specific biomarker tool for discriminating benign from malignant adrenal tumors, with obvious promise for the diagnostic work-up of patients with adrenal incidentalomas.

Pseudohyperaldosteronism: pathogenetic mechanisms

Pseudohyperaldosteronism is characterized by a clinical picture of hyperaldosteronism with suppression of plasma renin activity and aldosterone. Pseudohyperaldosteronism can be due to a direct mineralocorticoid effect, as with desoxycorticosterone, fluorohydrocortisone, fluoroprednisolone, estrogens, and the ingestion of high amounts of glycyrrhetinic acid. A block of 11-hydroxysteroid-dehydrogenase type 2 (11HSD2), the enzyme that converts cortisol into cortisone, at the level of epithelial target tissues of aldosterone, is involved in other cases. This mechanism is related either to a mutation of the gene, which encodes 11HSD2 (apparent mineralocorticoid excess syndrome and some cases of low renin hypertension) or to an acquired reduction of the activity of the enzyme due to glycyrrhetinic acid, carbenoxolone, and grapefruit juice. In other cases saturation of 11HSD2 may be involved as in severe Cushing's syndrome and chronic therapy with some corticosteroids. Recently, an activating mutation of the mineralocorticoid receptor gene has been described. Another genetic cause of pseudohyperaldosteronism is the syndrome of Liddle, which is due to a mutation of the gene encoding for beta and gamma subunits of the sodium channels.

Hypertension and virilization caused by a unique desoxycorticosterone- and androgen-secreting adrenal adenoma

We describe a rare androgen and desoxycorticosterone (DOC)-secreting adrenal tumor in a non-Cushingoid 14 year-old Haitian girl with secondary amenorrhea, hypertension and virilization. Her steroid pattern simulated an 11 beta-hydroxylation defect with notable elevation of adrenal androgens, 11-desoxycortisol (S), DOC, 17 alpha-hydroxyprogesterone and pregnenelone. Exogenous ACTH stimulated steroidogenesis. A CAT scan unfortunately failed to delineate an adrenal mass. Dexamethasone (DEX) was administered, therefore, which partially suppressed androgen levels, reduced DOC and S by 80% and 82% respectively, and normalized blood pressure. Nevertheless, the response to glucocorticoid was incomplete and an MRI was obtained, which revealed a right adrenal tumor. Post surgery, the patient promptly resumed menses and became normotensive. This case illustrates that ACTH and DEX cannot reliably differentiate tumor from hyperplasia, whereas the simultaneous increase of delta 4 and delta 5 steroids, present here, may favor a tumor. This case also allows speculation that the hypersecretion of DOC may result from inhibition of 11 beta-hydroxylase activity by excess androgens. The importance of appropriate imaging for diagnosis is underscored.

The Italian Registry for Adrenal Cortical Carcinoma: analysis of a multiinstitutional series of 129 patients. The ACC Italian Registry Study Group

BACKGROUND

Adrenal cortical carcinoma is an uncommon tumor with a poor prognosis. The low incidence of this tumor makes it difficult to achieve reliable data on clinical manifestations, natural history, and the impact of therapies. The purpose of this study was to evaluate such aspects in a large series.

METHODS

A retrospective series of 129 cases (55 men and 74 women, mean age of 49 years) was collected from 18 surgical institutions. At the time of diagnosis 45.7% of patients had endocrine symptoms. One hundred twenty-four patients underwent surgery, which was considered curative in 91 cases and palliative in 33. Sixty-three patients had local disease, 48 had regional disease, and 43 had distant metastases.

RESULTS

This study confirmed a higher incidence in the 40- to 50-year-old population with a female prevalence; hormonal hyperincretion was more common in women, but it was not caused by advanced disease. The overall 5-year survival rate was 35%. Tumor stage and curative resection affected prognosis significantly. The influence of gender, side, age, and hormonal function has not been confirmed. Adjuvant therapies were ineffective in prolonging survival. Reoperated patients experienced better survival (mean, 41.5 months) than nonreoperated cases (mean, 15.6 months).

CONCLUSIONS

The poor prognosis of adrenal cortical carcinoma may be improved by early diagnosis and complete resection. Radical surgery is the sole effective therapy, particularly in early stages. Surgical treatment of recurrence seems to improve survival and should be attempted systematically. Adjuvant therapies obtained contrasting results, and their role should be evaluated in prospective multicentric trials.

Steroidogenesis in human adrenocortical carcinoma: biochemical activities, immunohistochemistry, and in situ hybridization of steroidogenic enzymes and histopathologic study in nine cases

To obtain a better understanding of steroid metabolism associated with adrenocortical malignancy we studied steroidogenesis in nine cases of adrenocortical carcinoma (six with Cushing's syndrome, two without clinically significant adrenocortical hormonal abnormalities, and one with primary aldosteronism) by analyzing biochemical enzyme activities (21-hydroxylase and 11 beta-hydroxylase) and by immunohistochemistry and in situ hybridization of steroidogenic enzymes in carcinoma tissues. 21-Hydroxylase activity was markedly low but 11 beta-hydroxylase activity was only moderately decreased compared with normal adrenal activity. Immunohistochemical study of steroidogenic enzymes revealed that six of the nine cases expressed all the enzymes required for cortisol or aldosterone biosynthesis. Immunoreactivity of these enzymes was predominantly observed in small carcinoma cells with compact and/or clear cytoplasm and minimum morphologic nuclear atypia. In those cases with positive steroidogenic enzymes immunohistochemical examination of serial tissue sections revealed that a number of carcinoma cells did not express all the enzymes required for the synthesis of biologically active steroids. This may account for an increased level of precursor steroid secretion associated with adrenocortical malignancy. In situ hybridization of cytochrome 17 alpha-hydroxylase demonstrated that carcinoma cells with positive hybridization signals generally were positive for immunoreactivity, but a discrepancy between mRNA and protein expression was occasionally observed. Although the conclusions derived from our current study are limited by the small number of cases, ineffective corticosteroidogenesis, characteristic of steroid metabolism in human adrenocortical carcinoma, was considered to be due to disorganized expression of steroidogenic enzymes in individual carcinoma cells.