ESPE Abstracts (2024) 98 FC8.2

ESPE2024 Free Communications Adrenals and HPA Axis 2 (6 abstracts)

Detection and differentiation of adrenocortical tumors (ACTs) in children by gas chromatography-mass spectrometry (GC-MS) based urinary steroid metabotyping

Michaela F Hartmann 1 , Joern Pons-Kühnemann 2 , Marina Kunstreich 3 , Antje Redlich 3,4 , Peter Vorwerk 3 , Michaela Kuhlen 4 & Stefan A Wudy 1


1Division of Pediatric Endocrinology & Diabetology, Laboratory for Translational Hormone Analysis, Steroid Research & Mass Spectrometry Unit, Center of Child an Adolescent Medicine, Justus Liebig University, Giessen, Germany. 2Medical Statistics, Institute of Medical Informatics, Justus Liebig University, Giessen, Germany. 3Department of Pediatrics, Pediatric Hematology/Oncology, Otto-von-Guericke-University, Magdeburg, Germany. 4Pediatrics and Adolescent Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany


Introduction: ACTs comprise adenomas (ACAs) and carcinomas (ACCs), the latter having a poor prognosis. In children, ACTs are functional and thus symptomatic. We investigated whether GC-MS urinary steroid metabotyping can detect tumors and differentiate between adenomas and carcinomas.

Method: We investigated 46 patients (median 6.9; range 0.7-17 yrs; 36 females) with ACTs from the GPOH-MET Study (Registry of the German Society for Pediatric Oncology and Hematology for Malignant Endocrine Tumors) at the time of initial diagnosis. Patients were recruited between 2001 and 2024. n = 21 were diagnosed with ACAs and n = 25 with ACCs according to histopathological criteria. n = 145 urines from healthy children served as controls. 36 Steroid metabolites were quantified (µg/l) from spot urines by targeted GC-MS urinary steroid metabolome analysis. Relative enzyme activities were calculated according to typical precursor / product metabolite ratios. Log2 and z-transformed metabolite data underwent supervised classification analysis by univariate logistic regression followed by ROC-Analysis in order to find most discriminating metabolites. In addition machine learning classifiers were applied (results not shown here).

Results: ACTs differed (OR 4.62-7.50, P <0.001) from controls primarily in pronounced elevations of the metabolites of all 5-ene-steroids (i.e. pregnenolone, 17-hydroxypregnenolone and DHEA), decreased activity of 3β-hydroxysteroiddehydrogenase (3βHSD), gross elevation of THS (a tetrahydrogenated metabolite of 11-deoxycortisol) and reduced 11-hydroxylase activity. Selected biomarkers discriminated ACTs from controls by an accuracy > 0.81, respectively (ROC Analysis). ACCs differed (OR 2.03-2.68, P <0.001) from ACAs primarily in decreased corticosterone metabolites, increased 17-hydroxylase activity and reduced 5α-reductase activity. These biomarkers discriminated ACCs from ACAs by an accuracy > 0.7, respectively (ROC Analysis).

Conclusion: 1) Urinary targeted GC-MS steroid metabotyping is noninvasive and allows good discrimination between ACTs and controls from spot urine. 2) In ACTs, the dominance of 5-ene-steroids matches with reduced 3βHSD activity and points to the zona reticularis as a common site of origin for ACCs and ACAs. 3) Pediatric ACAs and ACCs differ mainly in their activities of 17-hydroxylase and 5α-reductase, a finding different from adults. 4) Our findings provide evidence that pediatric ACTs behave differently from those in adults. Thus, findings in adult ACT patients cannot be transferred to pediatric patients.

Volume 98

62nd Annual ESPE (ESPE 2024)

Liverpool, UK
16 Nov 2024 - 18 Nov 2024

European Society for Paediatric Endocrinology 

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