Abstract Hereditary tumor predisposition syndromes pose a challenge for early detection and timely treatment of tumors. In von Hippel–Lindau disease, desirable personalized surveillance programs are lacking due to insufficient data on genotype-specific risk profiles of individual mutations. To describe neoplastic risk profiles for carriers of pathogenic and likely pathogenic VHL germline mutations, our observational study recruited 1,350 participants from 40 centers worldwide. 432 different VHL germline mutations were observed, with p.Asn78Ser, p.Arg161Ter, p.Arg161Gln, p.Arg167Gln, p.Arg167Trp and p.Tyr98His being the six most frequent, occurring in a total of 493 carriers (36.5%) and in ≥30 patients each. Age-related penetrance risks for retinal hemangioblastoma, central nervous system hemangioblastoma, renal cell carcinoma, pancreatic neuroendocrine tumors and pheochromocytoma/paraganglioma in carriers of the most frequent VHL mutations were assessed. In addition, the number of organs affected, the frequency of surgery and the outcome are reported. Pairwise comparisons of the age-dependent tumor penetrance of these six mutations showed that 47 out of 90 pairs were significantly different. The most significant associations were found in p.Tyr98His (n = 19), followed by p.Arg161Ter (n = 10). All pairwise comparisons of mutations affecting different codons showed at least one significant (P < 0.05) difference, except for p.Asn78Ser vs p.Arg161Ter. Thus, tumor risk varied by VHL mutation type and location, but did not differ between the truncating mutation p.Arg161Ter and the missense mutation p.Asn78Ser. Our study demonstrates the importance of mutation-specific phenotype prediction. With appropriate validation, the data have important implications for risk assessment and decision making in tumor prevention for carriers of the respective VHL mutations.
The metabolic phenotype of patients with primary aldosteronism: impact of subtype and sex – a multicenter-study of 3566 Caucasian and Asian subjects
Background Accumulating evidence suggests that primary aldosteronism (PA) is associated with several features of the metabolic syndrome, in particular with obesity, type 2 diabetes mellitus, and dyslipidemia. Whether these manifestations are primarily linked to aldosterone-producing adenoma (APA) or bilateral idiopathic hyperaldosteronism (IHA) remains unclear. The aim of the present study was to investigate differences in metabolic parameters between APA and IHA patients and to assess the impact of treatment on these clinical characteristics. Methods We conducted a retrospective multicenter study including 3566 patients with APA or IHA of Caucasian and Asian origin. We compared the prevalence of metabolic disorders between APA and IHA patients at the time of diagnosis and 1-year post-intervention, with special references to sex differences. Furthermore, correlations between metabolic parameters and plasma aldosterone, renin, or plasma cortisol levels after 1 mg dexamethasone (DST) were performed. Results As expected, APA patients were characterized by higher plasma aldosterone and lower serum potassium levels. Only female IHA patients demonstrated significantly worse metabolic parameters than age-matched female APA patients, which were associated with lower cortisol levels upon DST. One-year post-intervention, female adrenalectomized patients showed deterioration of their lipid profile, when compared to patients treated with mineralocorticoid receptor antagonists. Plasma aldosterone levels negatively correlated with the BMI only in APA patients. Conclusions Metabolic alterations appear more prominent in women with IHA. Although IHA patients have worse metabolic profiles, a correlation with cortisol autonomy is documented only in APAs, suggesting an uncoupling of cortisol action from metabolic traits in IHA patients.
OR25-05 Increased Overall Mortality and Cardiovascular Morbidity in Patients with Adrenal Incidentalomas and Autonomous Cortisol Secretion: Results of the ENS@T NAPACA-Outcome Study
Abstract Objective. Several smaller studies on adrenal incidentalomas (AI) suggested an association between autonomous cortisol secretion (ACS) and mortality (Di Dalmazi Lancet Diabetes Endocrinol 2014, Debono J Clin Endocrinol Metab 2014, Patrova Endocrine 2017). However, a recent meta-analysis (9 studies, 1356 patients) could not confirm these findings (Elhassan Ann Intern Med 2019). Aim. To investigate the effects of ACS on mortality, prevalence of cardiovascular (CV) risk factors, and (CV) morbidity, in a representative cohort of AI. Design. Retrospective observational study conducted at 27 ENS@T centers from 15 countries. Methods. Inclusion criteria: AI diagnosed 1996-2015, 1 mg dexamethasone suppression test, follow-up (FU) of ≥36 months, known survival status. Exclusion criteria: clinically relevant adrenal hormone excess (i.e. Cushing’s syndrome, pheochromocytoma, primary hyperaldosteronism), known malignancy. Patient stratification: serum cortisol after dexamethasone (>5 µg/dl, ACS; 1.9-5 µg/dl, possible ACS (PACS); ≤1.8 µg/dl, non-functioning adenoma (NFA)). Definition of CV events (CVE): hospitalization due to myocardial infarction and related interventions (PTCA, surgical bypass), stroke, deep vein thrombosis, pulmonary embolism. Results. 3640 patients (57% NFA, 36% PACS, 7% ACS) were considered eligible: 64% females; median age 61 years (range 18-91); median FU 84 months (36-277) (distribution between subgroups n.s.). 352 patients died during FU. Age- and sex adjusted overall survival was significantly reduced in patients with PACS (HR 1.55; 95%CI 1.24-1.94) and ACS (1.84; 1.29-2.61). Prevalence of CV risk factors were significantly higher in PACS and ACS than in NFA (hypertension: 72, 73, 57%, p<0.0001; dyslipidemia: 42, 49, 35%, p<0.0001; diabetes: 22, 25, 17%, p<0.0001) When adjusted to relevant confounders (i.e. age, sex, CV risk factors), time to first CVE was shorter in PACS (HR 1.36; 1.07-1.73) and ACS (HR 1.62; 1.10-2.40) compared to NFA. Conclusion. PACS and ACS are associated with increased overall mortality and CV morbidity. However, to prove causality a large randomized intervention trial is required.