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Review
. 2020 Feb 22;12(2):514.
doi: 10.3390/cancers12020514.

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

Affiliations
Review

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

Jacqueline Trouillas et al. Cancers (Basel). .

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: classification of pituitary neuroendocrine tumors; classification of pituitary tumors; pituitary adenoma; pituitary tumor.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Five-Tiered prognostic classification of PitNETs [19].
Figure 2
Figure 2
Standardized pathological report for PitNETs, adapted from EPPG [41].

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