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Molecular neuro-oncology in clinical practice: a new horizon
Michael Weller1, Stefan M Pfister, Wolfgang Wick
1Department of Neurology, University Hospital Zurich, Zurich, Switzerland. michael.weller@usz.ch
Abstract:
Primary brain tumours are heterogeneous in histology, genetics, and outcome. Although WHO's classification of tumours of the CNS has greatly helped to standardise diagnostic criteria worldwide, it does not consider the substantial progress that has been made in the molecular classification of many brain tumours. Recent practice-changing clinical trials have defined a role for routine assessment of MGMT promoter methylation in glioblastomas in elderly people, and 1p and 19q codeletions in anaplastic oligodendroglial tumours. Moreover, large-scale molecular profiling approaches have identified new mutations in gliomas, affecting IDH1, IDH2, H3F3, ATRX, and CIC, which has allowed subclassification of gliomas into distinct molecular subgroups with characteristic features of age, localisation, and outcome. However, these molecular approaches cannot yet predict patients' benefit from therapeutic interventions. Similarly, transcriptome-based classification of medulloblastoma has delineated four variants that might now be candidate diseases in which to explore novel targeted agents.
Insights
Molecular classification advances brain tumor diagnosis, identifying new subgroups for gliomas and medulloblastomas. However, predicting therapeutic response remains a challenge for these complex primary brain tumors.
Area of Science:
- Neuro-oncology
- Molecular Pathology
- Genomics
Background:
- Primary brain tumors exhibit significant heterogeneity in histology, genetics, and patient outcomes.
- The World Health Organization (WHO) classification of CNS tumors provides standardized diagnostic criteria but lacks integration of molecular advancements.
- Recent clinical trials highlight the importance of molecular markers like MGMT promoter methylation and 1p/19q codeletions.
Purpose of the Study:
- To review the impact of molecular classification on understanding primary brain tumors.
- To discuss the identification of novel molecular subgroups within gliomas and medulloblastomas.
- To highlight the current limitations of molecular approaches in predicting therapeutic efficacy.
Main Methods:
- Review of recent clinical trials and large-scale molecular profiling studies.
- Analysis of genetic mutations (IDH1, IDH2, H3F3, ATRX, CIC) in glioma subclassification.
- Examination of transcriptome-based classification in medulloblastoma variants.
Main Results:
- Molecular profiling has identified distinct glioma subgroups based on mutations in IDH1, IDH2, H3F3, ATRX, and CIC, correlating with age, location, and prognosis.
- Routine assessment of MGMT promoter methylation and 1p/19q codeletions are now standard in specific brain tumor types.
- Transcriptome analysis has defined four medulloblastoma variants with potential as targets for novel therapies.
Conclusions:
- Molecular classification significantly refines brain tumor diagnosis and subtyping beyond traditional histology.
- While molecular markers aid in characterizing brain tumors, they currently do not predict patient response to therapy.
- Further research into molecularly defined subgroups is crucial for developing targeted therapeutic strategies for primary brain tumors.
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