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How to Classify Pituitary Neuroendocrine Tumors (PitNET)s in 2020

Sciprofile linkJacqueline Trouillas, Sciprofile linkMarie-Lise Jaffrain-Rea, Sciprofile linkAlexandre Vasiljevic, Sciprofile linkGérald Raverot, Sciprofile linkFederico Roncaroli, Sciprofile linkChiara Villa C
Published: 22 February 2020
 by  MDPI
 in Cancers
Cancers , Volume 12; doi:10.3390/cancers12020514

Abstract: Adenohypophyseal tumors, which were recently renamed pituitary neuroendocrine tumors (PitNET), are mostly benign, but may present various behaviors: invasive, “aggressive” and malignant with metastases. They are classified into seven morphofunctional types and three lineages: lactotroph, somatotroph and thyrotroph (PIT1 lineage), corticotroph (TPIT lineage) or gonadotroph (SF1 lineage), null cell or immunonegative tumor and plurihormonal tumors. The WHO 2017 classification suggested that subtypes, such as male lactotroph, silent corticotroph and Crooke cell, sparsely granulated somatotroph, and silent plurihormonal PIT1 positive tumors, should be considered as “high risk” tumors. However, the prognostic impact of these subtypes and of each morphologic type remains controversial. In contrast, the French five-tiered classification, taking into account the invasion, the immuno-histochemical (IHC) type, and the proliferative markers (Ki-67 index, mitotic count, p53 positivity), has a prognostic value validated by statistical analysis in 4 independent cohorts. A standardized report for the diagnosis of pituitary tumors, integrating all these parameters, has been proposed by the European Pituitary Pathology Group (EPPG). In 2020, the pituitary pathologist must be considered as a member of the multidisciplinary pituitary team. The pathological diagnosis may help the clinician to adapt the post-operative management, including appropriate follow-up and early recognition and treatment of potentially aggressive forms.
Keywords: pituitary adenoma / Pituitary Tumor / classification of pituitary tumors / classification of pituitary neuroendocrine tumors

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