Refine
Has Fulltext
- yes (3)
Is part of the Bibliography
- yes (3)
Document Type
- Journal article (3)
Language
- English (3)
Keywords
- Cushing’s syndrome (1)
- Hypercortisolism (1)
- Immunosuppression (1)
- Kaposi sarcoma (1)
- adrenal cortex hormones (1)
- adrenal cortex neoplasms (1)
- mass spectrometry (1)
- metabolomics (1)
- urine (1)
Institute
EU-Project number / Contract (GA) number
- 259735 (1)
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.
Background
Kaposi sarcoma (KS) is a malignant disease most commonly diagnosed in the setting of a human immunodeficiency virus (HIV) infection and in patients receiving immunosuppressive treatment. Pulmonary KS has never been reported in association with endogenous Cushing’s syndrome (CS).
Case presentation
A 60-year-old woman presented with symptoms and signs of CS. Adrenal CS was confirmed by standard biochemical evaluation. Imaging revealed a right adrenal lesion (diameter 3.5 cm) and multiple pulmonary nodules, suggesting a cortisol-secreting adrenal carcinoma with pulmonary metastases. The patient underwent right adrenalectomy with a pathohistological diagnosis of an adrenal adenoma. Subsequent thoracoscopic wedge resection of one lung lesion revealed pulmonary KS with positive immunostaining for human herpes virus 8 (HHV-8). HIV-serology was negative. Hydrocortisone replacement was initiated for secondary adrenal insufficiency after surgery. Post-operative follow up imaging showed complete remission of all KS-related pulmonary nodules solely after resolution of hypercortisolism.
Conclusion
KS may occur in the setting of endogenous CS and may go into remission after cure of hypercortisolism without further specific treatment.
Background: Adrenocortical carcinoma (ACC) is a rare tumor with a poor prognosis. Often, the physicians who first treat patients with ACC have no prior experience with the disease. The aim of our study was to evaluate the quality of medical care for patients with ACC in Germany.
Methods: Data from the German ACC registry were analyzed with regard to the patients’ preoperative diagnostic evaluation, histopathological reporting, and clinical followup. The findings were compared with the recommendations of the European Network for the Study of Adrenal Tumors (ENSAT).
Results: Data were analyzed from 387 patients who had been given an initial diagnosis of ACC in the years 1998 to 2009. 21% of them underwent no hormonal evaluation before surgery, and 59% underwent an inadequate hormonal evaluation. This exposed the patients to unnecessary perioperative risks and impaired their follow-up. 48% did not undergo CT scanning of the chest, even though the lungs are the most frequent site of metastases of ACC. For 13% of the patients, the diagnosis of ACC was later revised by a reference pathologist. For 11% of the patients, the histopathology report contained no information about resection status, even though this is an important determinant of further treatment and prognosis. Optimal management requires re-staging at three-month intervals, yet some patients underwent re-staging only after a longer delay, or not at all.
Conclusion: We have identified significant deficits in the care of patients with ACC in Germany. We suspect that the situation is similar for other rare diseases. The prerequisite to better care is close and early cooperation of the treating physicians with specialized centers.