Searchable abstracts of presentations at key conferences in endocrinology

ea0081p667 | Pituitary and Neuroendocrinology | ECE2022

Pituitary adenoma in multiple endocrine neoplasia type 1 (MEN1) syndrome: a single-center study

Modica Roberta , Liccardi Alessia , Minotta Roberto , Cannavale Giuseppe , Benevento Elio , Colao Annamaria

Background: Multiple endocrine neoplasia type 1 (MEN1), is an autosomal dominant inherited disorder with high penentrance, characterized by the onset of multiple tumors, mainly in parathyroid, pituitary gland and gastroenteropancreatic tract. During the course of the disease pituitary adenomas (PA) occur in 20-65%, rarely as first clinical manifestation, and are often described as larger, more aggressive, and more resistant to conventional therapy than their sporadic counterpa...

ea0070ep484 | Thyroid | ECE2020

Clinical presentation and prognosis of patients with medullary thyroid cancer

de Cicco Federica , Modica Roberta , Barba Livia , Bottiglieri Filomena , Minotta Roberto , Faggiano Antongiulio , Colao Annamaria

Medullary thyroid carcinoma (MTC) is a rare type of tumor that originates from parafollicular C-cells and accounts for 3–4% of all malignant thyroid neoplasms. MTC presents as sporadic (75–80%) or inherited tumors (20–25%). Hereditary MTC is part of multiple endocrine neoplasia type 2 (MEN2). Aim of the study was to describe clinical presentation, prognosis and therapy of sporadic MTC patients. Sixty-seven patients (pts) with histologically confirmed MTC refe...

ea0070aep718 | Pituitary and Neuroendocrinology | ECE2020

Evaluation of early predictors of metabolic syndrome in patients with gastroenteropancreatic neuroendocrine tumors (GEP-NET)

Bottiglieri Filomena , Modica Roberta , Barrea Luigi , de Cicco Federica , Minotta Roberto , Muscogiuri Giovanna , Savastano Silvia , Faggiano Antongiulio , Colao Annamaria

Metabolic syndrome and obesity (MetS) are supposed to have a role in cancer but data analysing their association with GEP-NET are lacking. Aim of this study was to explore the association of early predictors of MetS with GEP-NET, usingas tools Fatty Liver Index (FLI), a predictor of non-alcoholic fatty liver disease (NAFLD)and Visceral Adiposity Index (VAI), a gender-specific indicator of adipose dysfunction. A cross-sectional case-control observational study was conducted. VA...