EPCO-31. CLINICALLY APPLICABLE MOLECULAR GROUPING OF INTRACRANIAL MENINGIOMAS BASED ON HIGH-RISK COPY NUMBER ALTERATIONS AND <i>NF2</i> /22Q STATUS

Abstract BACKGROUND The 2021 WHO classification of meningiomas incorporated molecular markers such as CDKN2A/B homozygous deletion and TERT promoter (pTERT) mutations as diagnostic criteria for grade 3 tumors. Although large-scale multi-omics studies have revealed the biological heterogeneity of meningiomas, their clinical implementation remains limited. METHODS This study included intracranial meningiomas surgically resected between 1999 and 2024. Whole-exome sequencing was performed to identify driver mutations and arm-level copy number alterations (CNAs). Tumors were stratified into three molecular groups based on eight high-risk CNAs (e.g., CDKN2A/B homozygous deletion, pTERT mutation, 1p/6q/10q/14q/18q loss, 1q gain) and NF2/22q status. Associations with recurrence-free survival (RFS) were evaluated using Kaplan–Meier analysis, log-rank tests, and Cox regression models. RESULTS A total of 487 patients with intracranial meningiomas were included. The median age was 57 years (IQR, 48–67), and 332 (69.9%) were female. Group A (NF2-mutant, no high-risk CNA), Group B (NF2-wildtype, no high-risk CNA), and Group C (high-risk CNA-positive) comprised 143, 198, and 134 tumors, respectively. RFS differed significantly across groups (p &amp;lt; 0.001), with Group C exhibiting the poorest prognosis—particularly in WHO grade 1 tumors following gross total resection (GTR). In multivariable analysis, molecular group, WHO grade, and extent of resection emerged as independent predictors of recurrence. Among GTR cases, CDKN2A/B homozygous deletion, 1p/6q/10q/14q/18q losses, and 1q gain were significantly associated with shorter RFS. Oncogenic tree modeling and stratified RFS analysis suggested a stepwise accumulation of CNAs, with 22q and 1p losses as early events, and 1q gain and 10q loss as potential late-stage drivers of recurrence. CONCLUSION Molecular classification based on high-risk CNAs and NF2/22q status offers a clinically actionable framework for prognostic stratification in meningiomas. This grouping can be assessed using targeted assays and may enhance WHO grading to inform postoperative monitoring and therapeutic strategies.

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Journal
Neuro-Oncology
Published
2025-11-01
DOI
https://doi.org/10.1093/neuonc/noaf201.0031
Primary Topic
Meningioma and schwannoma management
Type
article
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article

EPCO-31. CLINICALLY APPLICABLE MOLECULAR GROUPING OF INTRACRANIAL MENINGIOMAS BASED ON HIGH-RISK COPY NUMBER ALTERATIONS AND NF2 /22Q STATUS

Satoru Miyawaki, Tetsuo Ushiku, Hideaki Ono, Daisuke Sato et al.
Neuro-Oncology
Meningioma and schwannoma management
article

EPCO-31. CLINICALLY APPLICABLE MOLECULAR GROUPING OF INTRACRANIAL MENINGIOMAS BASED ON HIGH-RISK COPY NUMBER ALTERATIONS AND NF2 /22Q STATUS

Satoru Miyawaki, Tetsuo Ushiku, Hideaki Ono, Daisuke Sato, Takahiro Tsuchiya, So Hirata, Nobuhito Saito, Motoyuki Umekawa, Daisuke Komura, Yu Sakai, Yudai Hirano, Yu Teranishi, Shotaro Ogawa, Shumpei Ishikawa
article en

Abstract

Abstract BACKGROUND The 2021 WHO classification of meningiomas incorporated molecular markers such as CDKN2A/B homozygous deletion and TERT promoter (pTERT) mutations as diagnostic criteria for grade 3 tumors. Although large-scale multi-omics studies have revealed the biological heterogeneity of meningiomas, their clinical implementation remains limited. METHODS This study included intracranial meningiomas surgically resected between 1999 and 2024. Whole-exome sequencing was performed to identify driver mutations and arm-level copy number alterations (CNAs). Tumors were stratified into three molecular groups based on eight high-risk CNAs (e.g., CDKN2A/B homozygous deletion, pTERT mutation, 1p/6q/10q/14q/18q loss, 1q gain) and NF2/22q status. Associations with recurrence-free survival (RFS) were evaluated using Kaplan–Meier analysis, log-rank tests, and Cox regression models. RESULTS A total of 487 patients with intracranial meningiomas were included. The median age was 57 years (IQR, 48–67), and 332 (69.9%) were female. Group A (NF2-mutant, no high-risk CNA), Group B (NF2-wildtype, no high-risk CNA), and Group C (high-risk CNA-positive) comprised 143, 198, and 134 tumors, respectively. RFS differed significantly across groups (p &amp;lt; 0.001), with Group C exhibiting the poorest prognosis—particularly in WHO grade 1 tumors following gross total resection (GTR). In multivariable analysis, molecular group, WHO grade, and extent of resection emerged as independent predictors of recurrence. Among GTR cases, CDKN2A/B homozygous deletion, 1p/6q/10q/14q/18q losses, and 1q gain were significantly associated with shorter RFS. Oncogenic tree modeling and stratified RFS analysis suggested a stepwise accumulation of CNAs, with 22q and 1p losses as early events, and 1q gain and 10q loss as potential late-stage drivers of recurrence. CONCLUSION Molecular classification based on high-risk CNAs and NF2/22q status offers a clinically actionable framework for prognostic stratification in meningiomas. This grouping can be assessed using targeted assays and may enhance WHO grading to inform postoperative monitoring and therapeutic strategies.

Neuro-OncologyVol. 27(Supplement_5)
University of Tokyo Hospital (JP), The University of Tokyo (JP)
Openalex Percentile: Top 55%
Meningioma and schwannoma management
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