Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Trouillas, Jacqueline, Jaffrain-Rea, Marie-Lise, Vasiljevic, Alexandre, Raverot, Gérald, Roncaroli, Federico, Villa, Chiara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7072139/
https://www.ncbi.nlm.nih.gov/pubmed/32098443
http://dx.doi.org/10.3390/cancers12020514
_version_ 1783506336295682048
author Trouillas, Jacqueline
Jaffrain-Rea, Marie-Lise
Vasiljevic, Alexandre
Raverot, Gérald
Roncaroli, Federico
Villa, Chiara
author_facet Trouillas, Jacqueline
Jaffrain-Rea, Marie-Lise
Vasiljevic, Alexandre
Raverot, Gérald
Roncaroli, Federico
Villa, Chiara
author_sort Trouillas, Jacqueline
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7072139
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-70721392020-03-19 How to Classify Pituitary Neuroendocrine Tumors (PitNET)s in 2020 Trouillas, Jacqueline Jaffrain-Rea, Marie-Lise Vasiljevic, Alexandre Raverot, Gérald Roncaroli, Federico Villa, Chiara Cancers (Basel) Review 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. MDPI 2020-02-22 /pmc/articles/PMC7072139/ /pubmed/32098443 http://dx.doi.org/10.3390/cancers12020514 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Trouillas, Jacqueline
Jaffrain-Rea, Marie-Lise
Vasiljevic, Alexandre
Raverot, Gérald
Roncaroli, Federico
Villa, Chiara
How to Classify Pituitary Neuroendocrine Tumors (PitNET)s in 2020
title How to Classify Pituitary Neuroendocrine Tumors (PitNET)s in 2020
title_full How to Classify Pituitary Neuroendocrine Tumors (PitNET)s in 2020
title_fullStr How to Classify Pituitary Neuroendocrine Tumors (PitNET)s in 2020
title_full_unstemmed How to Classify Pituitary Neuroendocrine Tumors (PitNET)s in 2020
title_short How to Classify Pituitary Neuroendocrine Tumors (PitNET)s in 2020
title_sort how to classify pituitary neuroendocrine tumors (pitnet)s in 2020
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7072139/
https://www.ncbi.nlm.nih.gov/pubmed/32098443
http://dx.doi.org/10.3390/cancers12020514
work_keys_str_mv AT trouillasjacqueline howtoclassifypituitaryneuroendocrinetumorspitnetsin2020
AT jaffrainreamarielise howtoclassifypituitaryneuroendocrinetumorspitnetsin2020
AT vasiljevicalexandre howtoclassifypituitaryneuroendocrinetumorspitnetsin2020
AT raverotgerald howtoclassifypituitaryneuroendocrinetumorspitnetsin2020
AT roncarolifederico howtoclassifypituitaryneuroendocrinetumorspitnetsin2020
AT villachiara howtoclassifypituitaryneuroendocrinetumorspitnetsin2020