Literature DB >> 32098443

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

Jacqueline Trouillas1,2, Marie-Lise Jaffrain-Rea3,4, Alexandre Vasiljevic1,2,5,6, Gérald Raverot1,2,5,7, Federico Roncaroli8, Chiara Villa9,10,11.   

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.

Entities:  

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

Year:  2020        PMID: 32098443     DOI: 10.3390/cancers12020514

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  23 in total

1.  Complete Response of a Patient With a Mismatch Repair Deficient Aggressive Pituitary Adenoma to Immune Checkpoint Inhibitor Therapy: A Case Report.

Authors:  Sanjit Shah; Saima Manzoor; Yehudit Rothman; Matthew Hagen; Luke Pater; Karl Golnik; Abdelkader Mahammedi; Andrew L Lin; Ruchi Bhabhra; Jonathan A Forbes; Soma Sengupta
Journal:  Neurosurgery       Date:  2022-05-13       Impact factor: 5.315

2.  A Convolutional Neural Network Model for Detecting Sellar Floor Destruction of Pituitary Adenoma on Magnetic Resonance Imaging Scans.

Authors:  Tianshun Feng; Yi Fang; Zhijie Pei; Ziqi Li; Hongjie Chen; Pengwei Hou; Liangfeng Wei; Renzhi Wang; Shousen Wang
Journal:  Front Neurosci       Date:  2022-07-04       Impact factor: 5.152

3.  Impact of histopathological classification of non-functioning adenomas on long term outcomes: comparison of the 2004 and 2017 WHO classifications.

Authors:  Ajay Chatrath; Jacob Kosyakovsky; Parantap Patel; Jungeun Ahn; Mazin Elsarrag; Lena C Young; Angela Wu; Jennifer D Sokolowski; Davis Taylor; John A Jane; M Beatriz S Lopes
Journal:  Pituitary       Date:  2022-10-19       Impact factor: 3.599

Review 4.  Recent Understanding and Future Directions of Recurrent Corticotroph Tumors.

Authors:  José Miguel Hinojosa-Amaya; César Ernesto Lam-Chung; Daniel Cuevas-Ramos
Journal:  Front Endocrinol (Lausanne)       Date:  2021-04-26       Impact factor: 5.555

5.  Genomics in Cushing's Disease: The Dawn of a New Era.

Authors:  Martin Reincke; Marily Theodoropoulou
Journal:  J Clin Endocrinol Metab       Date:  2021-05-13       Impact factor: 5.958

6.  Increased E2F1 mRNA and miR-17-5p Expression Is Correlated to Invasiveness and Proliferation of Pituitary Neuroendocrine Tumours.

Authors:  Araceli García-Martínez; Beatriz López-Muñoz; Carmen Fajardo; Rosa Cámara; Cristina Lamas; Sandra Silva-Ortega; Ignacio Aranda; Antonio Picó
Journal:  Diagnostics (Basel)       Date:  2020-04-16

7.  Functional characterization of DLK1/MEG3 locus on chromosome 14q32.2 reveals the differentiation of pituitary neuroendocrine tumors.

Authors:  Yiyuan Chen; Hua Gao; Qian Liu; Weiyan Xie; Bin Li; Sen Cheng; Jing Guo; Qiuyue Fang; Haibo Zhu; Zhuang Wang; Jichao Wang; Chuzhong Li; Yazhuo Zhang
Journal:  Aging (Albany NY)       Date:  2020-12-29       Impact factor: 5.682

8.  Intracellular and extracellular S100A9 trigger epithelial-mesenchymal transition and promote the invasive phenotype of pituitary adenoma through activation of AKT1.

Authors:  Ning Huang; Guanjian Zhao; Qiang Yang; Jiahe Tan; Ying Tan; Jiqin Zhang; Yuan Cheng; Jin Chen
Journal:  Aging (Albany NY)       Date:  2020-11-17       Impact factor: 5.682

9.  A Nomogram for Preoperatively Predicting the Ki-67 Index of a Pituitary Tumor: A Retrospective Cohort Study.

Authors:  Xiangming Cai; Junhao Zhu; Jin Yang; Chao Tang; Feng Yuan; Zixiang Cong; Chiyuan Ma
Journal:  Front Oncol       Date:  2021-05-31       Impact factor: 6.244

10.  Clinical, Biological, Radiological Pathological and Immediate Post-Operative Remission of Sparsely and Densely Granulated Corticotroph Pituitary Tumors: A Retrospective Study of a Cohort of 277 Patients With Cushing's Disease.

Authors:  Beata Rak; Maria Maksymowicz; Monika Pękul; Grzegorz Zieliński
Journal:  Front Endocrinol (Lausanne)       Date:  2021-05-31       Impact factor: 5.555

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.