ArticleNeuro-oncology2014
Proposal for a new risk stratification classification for meningioma based on patient age, WHO tumor grade, size, localization, and karyotype.
Article in Neuro-oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 3 of them syntheses that pooled it.
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Who cites it
75 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- European Association of Neuro-Oncology guideline on molecular testing of meningiomas for targeted therapy selection.Neuro-oncology · 2025Guideline
- Biomarkers for prognosis of meningioma patients: A systematic review and meta-analysis.PloS one · 2024Pooled it
- The prognostic role of Ki-67/MIB-1 in meningioma: A systematic review with meta-analysis.Medicine · 2020Pooled it
- Low-risk meningioma: Initial outcomes from NRG Oncology/RTOG 0539.Neuro-oncology · 2023Trial
- Intermediate-risk meningioma: initial outcomes from NRG Oncology RTOG 0539.Journal of neurosurgery · 2018Trial
- Pathology concordance levels for meningioma classification and grading in NRG Oncology RTOG Trial 0539.Neuro-oncology · 2016Trial
- Variation in meningioma recurrence risk estimates across observational cohorts: the influence of calendar time, WHO classifications, geographical settings, and healthcare systems.Journal of neuro-oncology · 2026Observational
- Clinicopathological significance of loss of Y chromosome in male meningiomas.The Journal of pathology · 2026Article
- Merlin immunohistochemistry is a reliable surrogate marker for NF2 gene alterations in meningioma.Histopathology · 2025Article
- Review
- A retrospective observational study of risk factors for postoperative meningitis following resection of meningioma.The Journal of international medical research · 2025Observational
- cIMPACT-NOW update 8: Clarifications on molecular risk parameters and recommendations for WHO grading of meningiomas.Neuro-oncology · 2025Review
- MRI-based multiregional radiomics for preoperative prediction of Ki-67 expression in meningiomas: a two-center study.Frontiers in neurology · 2025Article
- Optimizing the use of Ki-67 proliferative index as a prognostic biomarker in meningiomas using digital analysis.Journal of neurosurgery · 2024Article
- The dural attachment length predict prognosis in patients with recurrent meningiomas.Neurosurgical review · 2024Article
- Comprehensive genomic analysis reveals clonal origin and subtype-specific evolution in a case of sporadic multiple meningiomas.Brain tumor pathology · 2024Article
- Preoperative prediction of CNS WHO grade and tumour aggressiveness in intracranial meningioma based on radiomics and structured semantics.Scientific reports · 2024Article
- A nomogram to predict cancer-specific mortality in adult patients with malignant meningioma: a competing risk analysis.Discover oncology · 2024Article
- Single versus multiple reoperations for recurrent intracranial meningiomas.Journal of neuro-oncology · 2024Article
- Article
15 more citing papers are in PubMed but not listed here.
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9 authors.
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Abstract
backgroundTumor recurrence remains the major clinical complication of meningiomas, the majority of recurrences occurring among WHO grade I/benign tumors. In the present study, we propose a new scoring system for the prognostic stratification of meningioma patients based on analysis of a large series of meningiomas followed for a median of >5 years.
methodsTumor cytogenetics were systematically investigated by interphase fluorescence in situ hybridization in 302 meningioma samples, and the proposed classification was further validated in an independent series of cases (n = 132) analyzed by high-density (500K) single-nucleotide polymorphism (SNP) arrays.
resultsOverall, we found an adverse impact on patient relapse-free survival (RFS) for males, presence of brain edema, younger patients (<55 years), tumor size >50 mm, tumor localization at intraventricular and anterior cranial base areas, WHO grade II/III meningiomas, and complex karyotypes; the latter 5 variables showed an independent predictive value in multivariate analysis. Based on these parameters, a prognostic score was established for each individual case, and patients were stratified into 4 risk categories with significantly different (P < .001) outcomes. These included a good prognosis group, consisting of approximately 20% of cases, that showed a RFS of 100% ± 0% at 10 years and a very poor-prognosis group with a RFS rate of 0% ± 0% at 10 years. The prognostic impact of the scoring system proposed here was also retained when WHO grade I cases were considered separately (P < .001).
conclusionsBased on this risk-stratification classification, different strategies may be adopted for follow-up, and eventually also for treatment, of meningioma patients at different risks for relapse.
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