Literature DB >> 25732637

A prognostic clinicopathologic classification of pituitary endocrine tumors.

Gérald Raverot1, Alexandre Vasiljevic2, Emmanuel Jouanneau3, Jacqueline Trouillas4.   

Abstract

Pituitary endocrine tumors are considered as benign. However, clinical and pathological data favor their consideration as more than an endocrinological disease. Using data from a retrospective case-control study of 410 patients, with 8 years of follow-up, the authors have validated a new clinicopathologic classification of pituitary tumors. This classification is based on tumor size, immunohistochemical type, and grade based on the assessment of invasion and proliferation, and it provides a prognostic value for predicting postoperative disease-free outcome or recurrence/progression status. This classification aids the identification of patients presenting with pituitary tumors that have a high risk of recurrence and enable construction of personalized therapies.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Classification; Pathologic markers; Pituitary endocrine tumor

Mesh:

Year:  2014        PMID: 25732637     DOI: 10.1016/j.ecl.2014.10.001

Source DB:  PubMed          Journal:  Endocrinol Metab Clin North Am        ISSN: 0889-8529            Impact factor:   4.741


  9 in total

Review 1.  Advances and controversies in the classification and grading of pituitary tumors.

Authors:  E R Laws; D L Penn; C S Repetti
Journal:  J Endocrinol Invest       Date:  2018-06-01       Impact factor: 4.256

2.  Challenges in the Diagnosis of Pituitary Neuroendocrine Tumors.

Authors:  Sylvia L Asa
Journal:  Endocr Pathol       Date:  2021-04-17       Impact factor: 3.943

Review 3.  Single-cell approaches for molecular classification of endocrine tumors.

Authors:  James Koh; Nancy L Allbritton; Julie A Sosa
Journal:  Curr Opin Oncol       Date:  2016-01       Impact factor: 3.645

Review 4.  Overview of the 2017 WHO Classification of Pituitary Tumors.

Authors:  Ozgur Mete; M Beatriz Lopes
Journal:  Endocr Pathol       Date:  2017-09       Impact factor: 3.943

Review 5.  Pituitary neuroendocrine tumors: a model for neuroendocrine tumor classification.

Authors:  Ashley B Grossman; Shereen Ezzat; Sylvia L Asa; Ozgur Mete; Michael D Cusimano; Ian E McCutcheon; Arie Perry; Shozo Yamada; Hiroshi Nishioka; Olivera Casar-Borota; Silvia Uccella; Stefano La Rosa
Journal:  Mod Pathol       Date:  2021-05-21       Impact factor: 7.842

6.  Prognostic Value of Invasion, Markers of Proliferation, and Classification of Giant Pituitary Tumors, in a Georeferred Cohort in Brazil of 50 Patients, with a Long-Term Postoperative Follow-Up.

Authors:  Juliano Coelho de Oliveira Zakir; Luiz Augusto Casulari; José Wilson Corrêa Rosa; João Willy Corrêa Rosa; Paulo Andrade de Mello; Albino Verçosa de Magalhães; Luciana Ansaneli Naves
Journal:  Int J Endocrinol       Date:  2016-08-18       Impact factor: 3.257

7.  Prediction of Higher Ki-67 Index in Pituitary Adenomas by Pre- and Intra-Operative Clinical Characteristics.

Authors:  Xuanzhi Wang; Mingwu Li; Xiaofeng Jiang; Fei Wang; Shiying Ling; Chaoshi Niu
Journal:  Brain Sci       Date:  2022-07-28

8.  Detection of circulating tumor cells in patients with pituitary tumors.

Authors:  Gao Hua; He Yanjiao; Liu Qian; Wang Jichao; Zhang Yazhuo
Journal:  BMC Cancer       Date:  2018-03-27       Impact factor: 4.430

9.  A Preoperative MRI-Based Radiomics-Clinicopathological Classifier to Predict the Recurrence of Pituitary Macroadenoma Within 5 Years.

Authors:  Yu Zhang; Yuqi Luo; Xin Kong; Tao Wan; Yunling Long; Jun Ma
Journal:  Front Neurol       Date:  2022-01-05       Impact factor: 4.003

  9 in total

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