Assessment of molecular tools in pediatric, adolescent, and young adult meningioma highlights the need for lifespan precision in neuro-oncology

作者信息Leeor S Yefet, Alexander P Landry, Justin Z Wang, Jeff Liu, Vikas Patil, Chloe Gui, Andrew Ajisebutu, Yosef Ellenbogen, Yasin Mamatjan, Rebecca Yakubov, Ramneet Kaloti, Phooja Persaud, Qingxia Wei, Olivia Singh, Sheila Mansouri, Severa Bunda, Aaron A Cohen-Gadol, Ghazaleh Tabatabai, Marcos Tatagiba, Felix Behling, Jill S Barnholtz-Sloan, Andrew E Sloan, Silky Chotai, Lola B Chambless, Alireza Mansouri, Sameer Agnihotri, Serge Makarenko, Stephen Yip, Derek S Tsang, Kenneth Aldape, Andrew Gao, Farshad Nassiri, Gelareh Zadeh
PMID41206747
期刊Neuro Oncol
发布时间2026-03-01
DOI10.1093/neuonc/noaf252

摘要

Background: Adolescent and young adult (AYA) patients remain underrepresented in neuro-oncology research. Despite being the second most common primary brain tumor in this population, meningiomas have not been studied using age-specific molecular analyses. DNA methylation-based classification and prognostic tools have transformed meningioma care. This study aimed to evaluate the performance of these tools across age groups. Methods: We analyzed 1,568 meningiomas with DNA methylation and clinical data, including 18 pediatric patients (<15 years), 195 AYA patients (15-39 years), and 1,355 adult patients (>39 years). Pediatric and AYA (P/AYA) tumors were combined and compared with adult tumors. The performance of established molecular classifiers and recurrence predictors, as well as differences in chromosomal copy number alterations were compared across age groups. Results: While histologic grading was comparable between cohorts, P/AYA tumors displayed significantly fewer aggressive molecular groups and lower frequencies of chromosomal arm losses, including 1p, 6q, and 14q. The adult-trained recurrence predictor failed in the P/AYA population (AUC 0.57), despite similar score distributions. Retraining the model on an age-specific cohort using an identical analytic framework improved performance (AUC 0.79) and enabled effective stratification of progression-free survival (P = 0.00054). Importantly, 1p loss retained prognostic significance within the P/AYA group, supporting its clinical utility. Conclusions: Molecular tools developed in adult-dominant cohorts do not generalize to younger patients due to both biological divergence and exclusion from model development. These findings underscore the need for age-specific molecular frameworks and highlight the imperative of including P/AYA populations in precision neuro-oncology research to ensure lifespan-equitable care.

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