Adult Glioma WHO Classification Update, Genomics, and Imaging: What the Radiologists Need to Know
- PMID: 32271284
- DOI: 10.1097/RMR.0000000000000234
Adult Glioma WHO Classification Update, Genomics, and Imaging: What the Radiologists Need to Know
Abstract
Recent advances in the understanding of the genetic makeup of gliomas have led to a paradigm shift in the diagnosis and classification of these tumors. Driven by these changes, the World Health Organization (WHO) introduced an update to its classification system of central nervous system (CNS) tumors in 2016. The updated glioma classification system incorporates molecular markers into tumor subgrouping, which has been shown to better correlate with tumor biology and behavior as well as patient prognosis than the previous purely histology-based classification system. Familiarity with this new classification scheme, the individual molecular markers, and corresponding imaging findings is critical for the radiologists who play an important role in diagnostic and surveillance imaging of patients with CNS tumors. The goals of this article are to review these updates to the WHO classification of CNS tumors with a focus on adult gliomas, provide an overview of key genomic markers of gliomas, and review imaging features pertaining to various genomic subgroups of adult gliomas.
Similar articles
-
Imaging of Central Nervous System Tumors Based on the 2016 World Health Organization Classification.Neurol Clin. 2020 Feb;38(1):95-113. doi: 10.1016/j.ncl.2019.08.004. Epub 2019 Nov 7. Neurol Clin. 2020. PMID: 31761063 Review.
-
Radiomics in gliomas: A promising assistance for glioma clinical research.Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2018 Apr 28;43(4):354-359. doi: 10.11817/j.issn.1672-7347.2018.04.004. Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2018. PMID: 29774870 Review.
-
Updates in the Neuoroimaging and WHO Classification of Primary CNS Gliomas: A Review of Current Terminology, Diagnosis, and Clinical Relevance From a Radiologic Prospective.Top Magn Reson Imaging. 2019 Apr;28(2):73-84. doi: 10.1097/RMR.0000000000000195. Top Magn Reson Imaging. 2019. PMID: 31022050 Review.
-
-New frontiers in domain-inspired radiomics and radiogenomics: increasing role of molecular diagnostics in CNS tumor classification and grading following WHO CNS-5 updates.Cancer Imaging. 2024 Oct 7;24(1):133. doi: 10.1186/s40644-024-00769-6. Cancer Imaging. 2024. PMID: 39375809 Free PMC article. Review.
-
The 2021 WHO Classification for Gliomas and Implications on Imaging Diagnosis: Part 1-Key Points of the Fifth Edition and Summary of Imaging Findings on Adult-Type Diffuse Gliomas.J Magn Reson Imaging. 2023 Sep;58(3):677-689. doi: 10.1002/jmri.28743. Epub 2023 Apr 17. J Magn Reson Imaging. 2023. PMID: 37069792 Review.
Cited by
-
MDPNet: a dual-path parallel fusion network for multi-modal MRI glioma genotyping.Front Oncol. 2025 May 19;15:1574861. doi: 10.3389/fonc.2025.1574861. eCollection 2025. Front Oncol. 2025. PMID: 40458732 Free PMC article.
-
Characterization of the Immune Cell Infiltration Landscape and a New Prognostic Score in Glioblastoma.J Healthc Eng. 2022 Mar 9;2022:4326728. doi: 10.1155/2022/4326728. eCollection 2022. J Healthc Eng. 2022. Retraction in: J Healthc Eng. 2023 Oct 4;2023:9820641. doi: 10.1155/2023/9820641. PMID: 35310188 Free PMC article. Retracted.
-
Comprehensive analysis of histone deacetylases genes in the prognosis and immune infiltration of glioma patients.Aging (Albany NY). 2022 May 11;14(9):4050-4068. doi: 10.18632/aging.204071. Epub 2022 May 11. Aging (Albany NY). 2022. PMID: 35545840 Free PMC article.
-
Overexpression of LSR suppresses glioma proliferation and invasion via regulating FOXO3a.J Neurooncol. 2025 May;173(1):179-192. doi: 10.1007/s11060-025-04976-4. Epub 2025 Feb 24. J Neurooncol. 2025. PMID: 39992572
-
Surgical Neuro-Oncology: Management of Glioma.Neurol Clin. 2022 May;40(2):437-453. doi: 10.1016/j.ncl.2021.11.003. Epub 2022 Mar 31. Neurol Clin. 2022. PMID: 35465885 Free PMC article. Review.
References
-
- DeWeerdt S. The genomics of brain cancer. Nature 2018; 561:S54–S55.
-
- Louis DN, Ohgaki H, Wiestler OD, et al. The 2007 WHO classification of tumours of the central nervous system. Acta Neuropathol 2007; 114:97–109.
-
- Coons SW, Johnson PC, Scheithauer BW, et al. Improving diagnostic accuracy and interobserver concordance in the classification and grading of primary gliomas. Cancer 1997; 79:1381–1393.
-
- van den Bent MJ. Interobserver variation of the histopathological diagnosis in clinical trials on glioma: a clinician's perspective. Acta Neuropathol 2010; 120:297–304.
-
- Parsons DW, Jones S, Zhang X, et al. An integrated genomic analysis of human glioblastoma multiforme. Science 2008; 321:1807–1812.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical