Searchable abstracts of presentations at key conferences in endocrinology

ea0099p89 | Endocrine-Related Cancer | ECE2024

Effectiveness of temozolomide treatment in SDHx mutant and wildtype metastatic pheochromocytoma and paraganglioma – results of a European restrospective multicentre study

Remde Hanna , Hadoux Julien , Crona Joakim , Libe Rossella , Lim Eugenie , Di Dalmazi Guido , Arvat Emanuela , Haissaguerre Magalie , Canu Letizia , Kaltsas Gregory , Igaz Peter , Timmers Henri , Noelting Svenja , Quinkler Marcus , Deutschbein Timo , Fassnacht Martin , Matthias Kroiss

Background: Pheochromocytomas and paragangliomas (mPPGL) are rare neuroendocrine tumors. Therapeutic options in advanced and irresectable mPPGL are limited. Two small retrospective studies demonstrated the effectiveness of temozolomide in patients with mPPGL and suggested that patients with mutation in the succinate dehydrogenase B (SDHB) gene might benefit more than SDHB wildtype cases.Aim: To re-evaluate safety and effectiveness of temozolomide in a la...

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...