Literature DB >> 28093610

The new WHO 2016 classification of brain tumors-what neurosurgeons need to know.

Rouzbeh Banan1, Christian Hartmann2.   

Abstract

BACKGROUND: The understanding of molecular alterations of tumors has severely changed the concept of classification in all fields of pathology. The availability of high-throughput technologies such as next-generation sequencing allows for a much more precise definition of tumor entities. Also in the field of brain tumors a dramatic increase of knowledge has occurred over the last years partially calling into question the purely morphologically based concepts that were used as exclusive defining criteria in the WHO 2007 classification.
METHODS: Review of the WHO 2016 classification of brain tumors as well as a search and review of publications in the literature relevant for brain tumor classification from 2007 up to now.
RESULTS: The idea of incorporating the molecular features in classifying tumors of the central nervous system led the authors of the new WHO 2016 classification to encounter inevitable conceptual problems, particularly with respect to linking morphology to molecular alterations. As a solution they introduced the concept of a "layered diagnosis" to the classification of brain tumors that still allows at a lower level a purely morphologically based diagnosis while partially forcing the incorporation of molecular characteristics for an "integrated diagnosis" at the highest diagnostic level. In this context the broad availability of molecular assays was debated. On the one hand molecular antibodies specifically targeting mutated proteins should be available in nearly all neuropathological laboratories. On the other hand, different high-throughput assays are accessible only in few first-world neuropathological institutions. As examples oligodendrogliomas are now primarily defined by molecular characteristics since the required assays are generally established, whereas molecular grouping of ependymomas, found to clearly outperform morphologically based tumor interpretation, was rejected from inclusion in the WHO 2016 classification because the required assays are currently only established in a small number of institutions.
CONCLUSION: In summary, while neuropathologists have now encountered various challenges in the transitional phase from the previous WHO 2007 version to the new WHO 2016 classification of brain tumors, clinical neurooncologists now face many new diagnoses allowing a clearly improved understanding that could offer them more effective therapeutic opportunities in neurooncological treatment. The new WHO 2016 classification presumably presents the highest number of modifications since the initial WHO classification of 1979 and thereby forces all professionals in the field of neurooncology to intensively understand the new concepts. This review article aims to present the basic concepts of the new WHO 2016 brain tumor classification for neurosurgeons with a focus on neurooncology.

Entities:  

Keywords:  Brain tumors; Classification; Molecular pathology; Neuropathology; WHO

Mesh:

Year:  2017        PMID: 28093610     DOI: 10.1007/s00701-016-3062-3

Source DB:  PubMed          Journal:  Acta Neurochir (Wien)        ISSN: 0001-6268            Impact factor:   2.216


  20 in total

1.  An integrated genomic and metabolomic approach for defining survival time in adult oligodendrogliomas patients.

Authors:  Caroline Bund; Mariana Guergova-Kuras; A Ercument Cicek; François-Marie Moussallieh; Nassim Dali-Youcef; Martial Piotto; Pilar Schneider; Rémy Heller; Natacha Entz-Werle; Benoît Lhermitte; Marie-Pierre Chenard; Roland Schott; François Proust; Georges Noël; Izzie Jacques Namer
Journal:  Metabolomics       Date:  2019-04-29       Impact factor: 4.290

2.  Spinal meningioma and factors predictive of post-operative deterioration.

Authors:  Vianney Gilard; Alice Goia; François-Xavier Ferracci; Florent Marguet; Nicolas Magne; Olivier Langlois; Alexis Perez; Stéphane Derrey
Journal:  J Neurooncol       Date:  2018-06-20       Impact factor: 4.130

3.  Dabrafenib in BRAFV600E mutant pilocytic astrocytoma in a pediatric patient.

Authors:  F Mustansir; N Mushtaq; A Darbar
Journal:  Childs Nerv Syst       Date:  2019-08-15       Impact factor: 1.475

4.  Pediatric astrocytic tumor grading: comparison between arterial spin labeling and dynamic susceptibility contrast MRI perfusion.

Authors:  Giovanni Morana; Domenico Tortora; Serena Staglianò; Paolo Nozza; Samantha Mascelli; Mariasavina Severino; Gianluca Piatelli; Alessandro Consales; Maarten Lequin; Maria Luisa Garrè; Andrea Rossi
Journal:  Neuroradiology       Date:  2018-02-16       Impact factor: 2.804

5.  [Primary culture of human malignant meningioma cells and its intracranial orthotopic transplantation in nude mice].

Authors:  Mei-Xin Hu; Jia-le Liu; Xuan-Bo Chen; An-Qi Xu; Song-Ren Shu; Chao-Hu Wang; Yi Liu
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2018-03-20

6.  Multivariable non-invasive association of isocitrate dehydrogenase mutational status in World Health Organization grade II and III gliomas with advanced magnetic resonance imaging T2 mapping techniques.

Authors:  Maike Kern; Timo A Auer; Uli Fehrenbach; Yasemin Tanyildizi; Thomas Picht; Martin Misch; Edzard Wiener
Journal:  Neuroradiol J       Date:  2020-01-19

7.  Detection of IDH1 and TERT promoter mutations with droplet digital PCR in diffuse gliomas.

Authors:  Jia Ge; Michael Y Liu; Lei Li; Qing Deng; Feng Liu; Ying Luo; Lihong Wang; Guangyin Yao; Dandan Zhu; Huimin Lu; Mei Liang; Song Deng; Rong Zhou; Tao Luo
Journal:  Int J Clin Exp Pathol       Date:  2020-02-01

8.  Up-regulation of MARVEL domain-containing protein 1 (MARVELD1) accelerated the malignant phenotype of glioma cancer cells via mediating JAK/STAT signaling pathway.

Authors:  Lingyang Xia; Peng Jin; Wei Tian; Shuang Liang; Liye Tan; Binxin Li
Journal:  Braz J Med Biol Res       Date:  2021-05-17       Impact factor: 2.590

9.  Roles for hENT1 and dCK in gemcitabine sensitivity and malignancy of meningioma.

Authors:  Masahiro Yamamoto; Tomomi Sanomachi; Shuhei Suzuki; Hiroyuki Uchida; Hajime Yonezawa; Nayuta Higa; Tomoko Takajo; Yuki Yamada; Asuka Sugai; Keita Togashi; Shizuka Seino; Masashi Okada; Yukihiko Sonoda; Hirofumi Hirano; Koji Yoshimoto; Chifumi Kitanaka
Journal:  Neuro Oncol       Date:  2021-06-01       Impact factor: 12.300

10.  Brain lipid-binding protein promotes proliferation and modulates cell cycle in C6 rat glioma cells.

Authors:  Xiao Han; Haoming Li; Ye Zhang; Jianbing Qin; Qingqing Yang; Lu Wang; Mingjie Yuan; Chunlin Xia
Journal:  Int J Oncol       Date:  2017-09-22       Impact factor: 5.650

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