Searchable abstracts of presentations at key conferences in endocrinology

ea0081oc8.1 | Oral Communications 8: Calcium and Bone | ECE2022

Effectiveness of anti-resorptive drugs on risk of vertebral fractures in women receiving aromatase inhibitors: a prospective study in real-life clinical practice

Mazziotti Gherardo , Vena Walter , Pigni Stella , Carrone Flaminia , Pedersini Rebecca , Cosentini Deborah , Torrisi Rosalba , Birtolo Maria Francesca , Maida Giulia , Berruti Alfredo , Lania Andrea

Bone loss is a frequent complication of aromatase inhibitors (AIs) therapy in women with breast cancer. Bone-active drugs are effective in protecting the skeleton from detrimental actions of AIs. However, bone mineral density (BMD) was the primary end-point in most of published studies, whereas data on fractures were scant and mainly limited to denosumab. In this prospective study, we investigated the effects of denosumab, oral bisphosphonates and intravenous zoledronate on ri...

ea0093oc26 | Oral communication 4: Pituitary and Neuroendocrinology | EYES2023

Whole blood transcriptomic signature of Cushing’s syndrome

Birtolo Maria Francesca , Armignacco Roberta , Benanteur Nesrine , De Murat Daniel , Guignat Laurence , Groussin Lionel , Libe Rossella , Letourneur Franck , Bertherat Jerome , Jouinot Anne , Assie Guillaume

Background: Cushing’s syndrome (CS) is associated with high morbidity and presents high interindividual variability. Easily measurable biomarkers, in addition to the hormone assays currently used for diagnosis, could better quantify the individual biological impact of glucocorticoids. The aim of this study is to identify such biomarkers through the analysis of whole blood transcriptome.Methods: Whole blood transcriptome was evaluated in 57 samples (...

ea0093oc24 | Oral communication 4: Pituitary and Neuroendocrinology | EYES2023

Transcriptome in paraffin samples for the diagnosis and prognosis of pituitary neuroendocrine tumors (PITNETS)

Benanteur Nesrine , Villa Chiara , Birtolo Maria Francesca , Jouinot Anne , De Murat Daniel , Letourneur Franck , Gaillard Stephan , Raffin-Sanson Marie-Laure , Emile Jean-Francois , Bertherat Jerome , Baussard Bertrand , Assie Guillaume

An initial multi-omics analysis of PitNETs has refined histological classifications, and could improve diagnostic and prognostic assessment (Neou, Cancer Cell 2020). Of all omics, transcriptome best discriminates between these different classes. This molecular classification has been built upon frozen samples, which are difficult to use in routine clinical practice.Aim: Demonstrate the feasibility of measuring the transcriptome in Formalin-Fixed Paraffin...