Meningioma in the modern era: Updates in stratification and therapeutic approaches.
- 1MacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, Ontario, Canada; Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada; Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada. Electronic address: [email protected].
Abstract
Meningioma is the most common primary intracranial tumor in adults. Most meningiomas have an indolent growth pattern, but some can grow quickly. The World Health Organization (WHO) classification system is the gold standard for tumor grading and relies predominantly on histopathology and limited molecular alterations. It is increasingly recognized that the variability in tumor behaviour is incompletely captured using traditional systems. Contemporary advances have expanded tumor stratification beyond starting WHO grading, providing a more comprehensive framework for understanding tumor biology. Molecular profiling has identified independent biological classification systems and molecular signatures that capture important prognostic information beyond histopathology. Magnetic resonance imaging-based analyses and radiomics have enabled non-invasive characterization of tumor phenotype and growth potential. Therapeutically, surgical resection and radiation therapy remain the foundation of management, with evolving paradigms emphasizing maximal safe resection and risk-adapted radiotherapy strategies informed by integrated tumor characteristics. Systemic therapies have historically shown limited efficacy; however, recent efforts are shifting toward biomarker-driven, precision approaches guided by molecular alterations. Future directions focus on integrating multimodal data into unified, clinically actionable models that more accurately predict recurrence, progression, and treatment response. Such approaches aim to move beyond parallel classification systems toward individualized management strategies, ultimately advancing meningioma care into a precision-based paradigm.
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BibTeX
@article{yefet2026meningioma,
title = {{Meningioma in the modern era: Updates in stratification and therapeutic approaches.}},
author = {Leeor S Yefet and Gelareh Zadeh and Farshad Nassiri},
journal = {Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics},
year = {2026},
month = oct,
doi = {10.1016/j.neurot.2026.e01098},
url = {https://europepmc.org/article/MED/42863345},
note = {CC BY},
}
RIS
TY - JOUR
TI - Meningioma in the modern era: Updates in stratification and therapeutic approaches.
AU - Leeor S Yefet
AU - Gelareh Zadeh
AU - Farshad Nassiri
PY - 2026
DA - 2026/10/12
JO - Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics
DO - 10.1016/j.neurot.2026.e01098
UR - https://europepmc.org/article/MED/42863345
AB - Meningioma is the most common primary intracranial tumor in adults. Most meningiomas have an indolent growth pattern, but some can grow quickly. The World Health Organization (WHO) classification system is the gold standard for tumor grading and relies predominantly on histopathology and limited molecular alterations. It is increasingly recognized that the variability in tumor behaviour is incompletely captured using traditional systems. Contemporary advances have expanded tumor stratification beyond starting WHO grading, providing a more comprehensive framework for understanding tumor biology. Molecular profiling has identified independent biological classification systems and molecular signatures that capture important prognostic information beyond histopathology. Magnetic resonance imaging-based analyses and radiomics have enabled non-invasive characterization of tumor phenotype and growth potential. Therapeutically, surgical resection and radiation therapy remain the foundation of management, with evolving paradigms emphasizing maximal safe resection and risk-adapted radiotherapy strategies informed by integrated tumor characteristics. Systemic therapies have historically shown limited efficacy; however, recent efforts are shifting toward biomarker-driven, precision approaches guided by molecular alterations. Future directions focus on integrating multimodal data into unified, clinically actionable models that more accurately predict recurrence, progression, and treatment response. Such approaches aim to move beyond parallel classification systems toward individualized management strategies, ultimately advancing meningioma care into a precision-based paradigm.
SN - 1933-7213
SN - 1878-7479
ER -