Literature DB >> 30449638

The 2016 World Health Organization classification of tumours of the central nervous system.

Chiara Villa1, Catherine Miquel2, Dominic Mosses3, Michèle Bernier4, Anna Luisa Di Stefano5.   

Abstract

The 2016 WHO classification of tumours of the central nervous system represents the new paradigm among the specialists in the brain tumours and proposes a new approach combining histopathological and molecular features into diagnosis named 'integrated diagnosis'. The aim of this challenge is to overstep the interobserver variability of diagnosis based on previous classifications in order to ensure homogenous biological entities with a more accurate clinical significance. Over the last two decades, several molecular aberrations into gliomagenesis were highlighted and then confirmed as emerging biomarkers through prognostic stratification. In particular, IDH1/IDH2 genes mutations, 1p/19q codeletion and mutations in genes encoding histone H3 variants drastically changed the knowledge about diffuse gliomas inducing the WHO working group to consider the phenotype-genotype approach. In the present review, the historical development of the diagnosis of brain tumours from the 3D spatial configuration to the integration of multidisciplinary data up to recent molecular alterations is discussed. At the national level, the RENOCLIP network (supported by the National Cancer Institute) contributes to improve the standardization of histological diagnosis and the facilitation of access to molecular biology platforms for the detection of genetic aberrations necessary for integrated diagnosis. Importantly, the French POLA cohort allowed to test the clinical impact of the new criteria introduced by 2016 WHO classification of CNS tumours confirming the high accuracy in predicting clinical behaviour for diffuse gliomas.
Copyright © 2018 Elsevier Masson SAS. All rights reserved.

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Year:  2018        PMID: 30449638     DOI: 10.1016/j.lpm.2018.04.015

Source DB:  PubMed          Journal:  Presse Med        ISSN: 0755-4982            Impact factor:   1.228


  24 in total

1.  Radiation risk of central nervous system tumors in the Life Span Study of atomic bomb survivors, 1958-2009.

Authors:  Alina V Brenner; Hiromi Sugiyama; Dale L Preston; Ritsu Sakata; Benjamin French; Atsuko Sadakane; Elizabeth K Cahoon; Mai Utada; Kiyohiko Mabuchi; Kotaro Ozasa
Journal:  Eur J Epidemiol       Date:  2020-01-25       Impact factor: 8.082

2.  Alignment between glioblastoma internal clock and environmental cues ameliorates survival in Drosophila.

Authors:  Patricia Jarabo; Celia G Barredo; Carmen de Pablo; Sergio Casas-Tinto; Francisco A Martin
Journal:  Commun Biol       Date:  2022-06-30

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Authors:  Rui Zhang; Yu Shen; Yan Bai; Xianchang Zhang; Wei Wei; Ruijuan Lin; Qin Feng; Mengke Wang; Menghuan Zhang; Mathias Nittka; Gregor Koerzdoerfer; Meiyun Wang
Journal:  Quant Imaging Med Surg       Date:  2021-04

4.  Characteristics of 18F-FDG and 18F-FDOPA PET in an 8-year-old neutered male Yorkshire Terrier dog with glioma: long-term chemotherapy using hydroxyurea plus imatinib with prednisolone and immunoreactivity for PDGFR-β and LAT1.

Authors:  Taesik Yun; Yoonhoi Koo; Sanggu Kim; Wonguk Lee; Hakhyun Kim; Dongwoo Chang; Soochong Kim; Mhan-Pyo Yang; Byeong-Teck Kang
Journal:  Vet Q       Date:  2021-12       Impact factor: 3.320

5.  LGALS3 Is a Poor Prognostic Factor in Diffusely Infiltrating Gliomas and Is Closely Correlated With CD163+ Tumor-Associated Macrophages.

Authors:  Wan-Ming Hu; Yuan-Zhong Yang; Tian-Zhi Zhang; Chang-Fei Qin; Xue-Nong Li
Journal:  Front Med (Lausanne)       Date:  2020-05-21

Review 6.  [Tumors of the central nervous system in children and adolescents].

Authors:  G Hahn; H-J Mentzel
Journal:  Radiologe       Date:  2021-06-30       Impact factor: 0.635

Review 7.  Targeting Glioblastoma Stem Cells: A Review on Biomarkers, Signal Pathways and Targeted Therapy.

Authors:  Xuejia Tang; Chenghai Zuo; Pengchao Fang; Guojing Liu; Yongyi Qiu; Yi Huang; Rongrui Tang
Journal:  Front Oncol       Date:  2021-07-08       Impact factor: 6.244

8.  Identification of the Prognostic Signatures of Glioma With Different PTEN Status.

Authors:  Pei Zhang; Xinyi Meng; Liqun Liu; Shengzhen Li; Yang Li; Sakhawat Ali; Shanhu Li; Jichuan Xiong; Xuefeng Liu; Shouwei Li; Qin Xia; Lei Dong
Journal:  Front Oncol       Date:  2021-07-14       Impact factor: 6.244

9.  Quantitative MRI-based radiomics for noninvasively predicting molecular subtypes and survival in glioma patients.

Authors:  Jing Yan; Bin Zhang; Shuaitong Zhang; Jingliang Cheng; Xianzhi Liu; Weiwei Wang; Yuhao Dong; Lu Zhang; Xiaokai Mo; Qiuying Chen; Jin Fang; Fei Wang; Jie Tian; Shuixing Zhang; Zhenyu Zhang
Journal:  NPJ Precis Oncol       Date:  2021-07-26

10.  High expression of cluster of differentiation 276 indicates poor prognosis in glioma.

Authors:  Linchen Li; Min Zhang; Dengna Zhu; Xinjun Wang
Journal:  Clin Med Insights Oncol       Date:  2021-07-21
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