TY - JOUR
T1 - CNS tumor type prevalence according to age group
T2 - An analysis of 21 000 cases confirmed by methylation profiling, with a focus on adolescents and young adults
AU - Fonseca, Adriana
AU - Yefet, Leeor
AU - Singh, Omkar
AU - Dampier, Christopher
AU - Dazelle, Karen
AU - Lam, Michelle
AU - Abdullaev, Zied
AU - Chung, Hye Jung
AU - Quezado, Martha
AU - Raffeld, Mark
AU - Gagan, Jeffrey
AU - Lee, Ina
AU - Nasrallah, MacLean
AU - Bennett, Julie
AU - Bouffet, Eric
AU - Poria, Dipak
AU - Wesseling, Pieter
AU - van den Bent, Martin
AU - Wen, Patrick Y.
AU - Varlet, Pascale
AU - Tauziède-Espariat, Arnault
AU - Ida, Cristiane M.
AU - Zadeh, Gelareh
AU - Aldape, Kenneth
N1 - Published by Oxford University Press on behalf of the Society for Neuro-Oncology 2026.
PY - 2026/7
Y1 - 2026/7
N2 - Background: Approximately 12 000 adolescents and young adults (ages 15-39, AYAs) are diagnosed with a primary central nervous system (CNS) tumor each year. DNA methylation profiling has transformed CNS tumor classification by refining diagnostic accuracy and identifying biologically distinct subtypes, but its application has not been systematically evaluated in the AYA population. In this study, we examined the spectrum of CNS tumor types across age groups, with a focus on the AYA population. Methods: We assembled a large dataset of CNS tumor samples with age annotations and methylation profiles matching with high confidence to a CNS tumor type using the NCI/Bethesda classifier. Prevalence of tumor type, methylation class and DNA copy number aberrations were compared across age strata (pediatric, AYA, and adult). Results: The cohort of 21 712 CNS tumors included 5351 tumors from AYAs (25%), which showed a mixed pattern, with tumors typical of childhood (eg, medulloblastoma) as well as those common in older adults (eg, glioblastoma). Several tumor types were specifically enriched in the AYA, including IDH-mutant astrocytoma, pleomorphic xanthoastrocytoma, posterior fossa group B ependymoma, and diffuse hemispheric glioma, H3 G34-mutant, among others. Distinct methylation subclasses of multiple tumor types were observed in the AYA, and patterns of genomic aberrations showed age-specific distributions. Conclusion: Large-scale methylation profiling revealed unique classification patterns of CNS tumors in AYAs, with specific tumor types, subclasses, and genomic alterations enriched in this population. These data may serve as a valuable reference resource for better understanding the spectrum of CNS tumors affecting AYA patients.
AB - Background: Approximately 12 000 adolescents and young adults (ages 15-39, AYAs) are diagnosed with a primary central nervous system (CNS) tumor each year. DNA methylation profiling has transformed CNS tumor classification by refining diagnostic accuracy and identifying biologically distinct subtypes, but its application has not been systematically evaluated in the AYA population. In this study, we examined the spectrum of CNS tumor types across age groups, with a focus on the AYA population. Methods: We assembled a large dataset of CNS tumor samples with age annotations and methylation profiles matching with high confidence to a CNS tumor type using the NCI/Bethesda classifier. Prevalence of tumor type, methylation class and DNA copy number aberrations were compared across age strata (pediatric, AYA, and adult). Results: The cohort of 21 712 CNS tumors included 5351 tumors from AYAs (25%), which showed a mixed pattern, with tumors typical of childhood (eg, medulloblastoma) as well as those common in older adults (eg, glioblastoma). Several tumor types were specifically enriched in the AYA, including IDH-mutant astrocytoma, pleomorphic xanthoastrocytoma, posterior fossa group B ependymoma, and diffuse hemispheric glioma, H3 G34-mutant, among others. Distinct methylation subclasses of multiple tumor types were observed in the AYA, and patterns of genomic aberrations showed age-specific distributions. Conclusion: Large-scale methylation profiling revealed unique classification patterns of CNS tumors in AYAs, with specific tumor types, subclasses, and genomic alterations enriched in this population. These data may serve as a valuable reference resource for better understanding the spectrum of CNS tumors affecting AYA patients.
KW - AYA
KW - DNA methylation classification
KW - adolescents and young adults
KW - tumor types
KW - Prevalence
KW - Prognosis
KW - Age Factors
KW - Humans
KW - Male
KW - Central Nervous System Neoplasms/epidemiology
KW - Biomarkers, Tumor/genetics
KW - Young Adult
KW - DNA Methylation
KW - Adolescent
KW - Female
KW - Adult
KW - Child
UR - https://www.scopus.com/pages/publications/105043861827
UR - https://www.mendeley.com/catalogue/326c2c2e-f483-3938-895b-ca992a7f44e5/
U2 - 10.1093/neuonc/noag082
DO - 10.1093/neuonc/noag082
M3 - Article
C2 - 41978543
AN - SCOPUS:105043861827
SN - 1522-8517
VL - 28
SP - 1808
EP - 1820
JO - Neuro-Oncology
JF - Neuro-Oncology
IS - 7
ER -