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ea0056oc11.2 | Clinical practice in endocrine tumours: combining conventional and molecular features | ECE2018

Molecular classifiers refine the prognostic stratification of adrenocortical carcinoma

Jouinot Anne , Assie Guillaume , Fassnacht Martin , Libe Rossella , Garinet Simon , Jacob Louis , Faillot Simon , Hamzaoui Nadim , Neou Mario , Sakat Julien , Perlemoine Karine , Sibony Mathilde , Tissier Frederique , Dousset Bertrand , Sbiera Silviu , Ronchi Cristina , Kroiss Matthias , Korpershoek Esther , De Krijger Ronald , Waldmann Jens , Quinkler Marcus , Tabarin Antoine , Chabre Olivier , Coste Joel , Luconi Michaela , Mannelli Massimo , Groussin Lionel , Bertagna Xavier , Baudin Eric , Amar Laurence , Beuschlein Felix , Bertherat Jerome

Background: Adrenocortical cancer (ACC) is an aggressive tumour with heterogeneous prognosis. Pan-genomic studies identified molecular subgroups of ACC, remarkably associated with outcome. For routine prospective use, targeted molecular measures are needed, combined into reasonably easy and cheap techniques. The aim was to develop and validate different combinations of targeted molecular markers reflecting the molecular subgroup, and compare their prognostic value to standard ...

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Endocrine Abstracts

Molecular classifiers refine the prognostic stratification of adrenocortical carcinoma

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