Searchable abstracts of presentations at key conferences in endocrinology

ea0032p534 | Endocrine tumours and neoplasia | ECE2013

Mitochondrial ultrastructure in pseudohypoxic succinate dehydrogenase B and von Hippel–Lindau gene mutation derived pheochromocytomas and paragangliomas

Tsokos Maria , Fliedner Stephanie , Prodanov Tamara , Abu-Asab Mones , Osman Jailan , Lehnert Hendrik , Pacak Karel

Mutations in the mitochondrial succinate dehydrogenase (SDH) subunits A, B, C, and D have been shown to hamper oxidative phosphorylation and predispose to pheochromocytomas (PHEOs) and paragangliomas (PGLs). These tumors are characterized by a glycolytic and pseudohypoxic phenotype, which is also seen in most PHEOs/PGLs occurring as part of von Hippel–Lindau (VHL) syndrome, due to VHL gene mutations. The rate of extra-adrenal tumor origin and malignancy however is particu...

ea0081oc6.1 | Oral Communications 6: Endocrine-Related Cancer | ECE2022

Recurrent disease in patients with sporadic pheochromocytoma and paraganglioma

Li Minghao , Prodanov Tamara , Meuter Leah , Kerstens Michiel , Bechmann Nicole , Prejbisz Aleksander , Fassnacht Martin , Timmers Henri , Beuschlein Felix , Fliedner Stephanie , Robledo Mercedes , Lenders Jacques , Pacak Karel , Eisenhofer Graeme , Pamporaki Christina

Background: It is well established that life-long follow-up is required for patients with hereditary pheochromocytomas and paragangliomas (PPGLs), due to the potential of developing recurrent disease. However, whether follow-up of patients with sporadic PPGLs is necessary, remains unclear.Aims: To examine the prevalence and predictors of recurrent disease in patients with sporadic PPGLs.Materials and method: This multicenter study included retrospective ...

ea0081oc13.6 | Oral Communications 13: Adrenal and Cardiovascular Endocrinology 2 | ECE2022

Machine Learning models for the accurate prediction of malignant pheochromocytomas and paragangliomas

Pamporaki Christina , Berends Annika MA , Filippatos Angelos , Prodanov Tamara , Meuter Leah , Prejbisz Aleksander , Beuschlein Felix , Fassnacht Martin , Timmers Henri , Noelting Svenja , Abhyankar Kaushik Ganesh , Contsantinescu Georgiana , Kunath Carola , Wang Katharina , Remde Hanna , Januszewicz Andrzej , Robledo Mercedes , Lenders Jacques , Kerstens Michiel , Pacak Karel , Eisenhofer Graeme

Introduction: Pheochromocytomas and paragangliomas (PPGLs) exhibit an up to 20% malignancy rate. Various clinical, genetic, and pathological features have been proposed as predictors of malignancy. However, until present there are no robust indices to reliably predict metastatic PPGLs.Aim: The aim of the present study was to prospectively validate the value of methoxytyramine as risk marker of metastatic disease and establish a machine learning (ML) mode...