Evidence map›Paper›PMID 42334679›Full record

ArticleActa neurochirurgica2026

Next-generation sequencing (NGS) analysis and age-based survival comparison among glioblastoma (GBM) patients: a two-center cohort study.

Chul Ou Lee, Sun Yong Park, Yejin Yun, Ju Young Choi, Jae-Sung Park, Sin-Soo Jeun, Yeo Song Kim

Abstract readMulticenter StudyComparative Study
In one paragraph

Article in Acta neurochirurgica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chul Ou LeeDepartment of Neurosurgery, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
Sun Yong ParkCollege of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Yejin YunCollege of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Ju Young ChoiCollege of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Jae-Sung ParkDepartment of Neurosurgery, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
Sin-Soo JeunDepartment of Neurosurgery, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
Yeo Song KimDepartment of Neurosurgery, College of Medicine, Incheon St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea. kysrosa@catholic.ac.kr.ORCID 0000-0003-2056-3719

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGlioblastoma (GBM) incidence increases with age, and its etiologies may differ between young and elderly patients. This study aimed to investigate genetic differences between young and elderly GBM patients using next-generation sequencing (NGS) data.

methodsWe retrospectively analyzed 124 GBM patients (< 65 years, n = 60; ≥ 65 years, n = 64) who underwent surgery at two institutions between 2017 and 2022. Clinical and NGS molecular data were analyzed, and survival analysis used the Kaplan-Meier method and Cox regression models.

resultsThe elderly group (≥ 65 years) had a significantly lower OS of 11.0 months compared to 18.0 months in the younger group (p = 0.001). The Stupp protocol, a known prognostic factor, was more frequent in the younger group (p = 0.023). Molecular analysis showed that MGMT methylation was more prevalent in elderly patients than in younger patients (p = 0.009). NGS genetic results showed that ATRX mutations were more common in younger patients than in elderly patients (p = 0.052, Fisher's exact test) but this was not statistically significant. Trends toward higher MET and CDK6 amplification rates were observed in the elderly group compared to the younger group (p = 0.058, Fisher's exact test), although these did not reach statistical significance. Multivariate analysis confirmed that advanced age (HR = 1.961, p = 0.002), MGMT methylation (HR = 0.513, p = 0.004), the Stupp protocol (HR = 0.376, p < 0.001), and GTR (HR = 0.519, p = 0.002) were independent prognostic factors.

conclusionMGMT methylation was significantly more prevalent in elderly GBM patients and favorably influenced prognosis. No NGS-derived genetic alterations reached statistical significance between age groups after Fisher's exact test and multiple testing correction. Larger multicenter studies are needed to validate these exploratory findings.

Indexed as

Brain NeoplasmsGlioblastomaAdultAgedAged, 80 and overAge FactorsCohort StudiesDNA Modification MethylasesDNA Repair EnzymesFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedMutationPrognosisATRX protein, humanDNA Modification MethylasesDNA Repair EnzymesMGMT protein, humanTumor Suppressor ProteinsX-linked Nuclear ProteinAgeCancerGlioblastomaNext-generation sequencing

Identifiers

PMID42334679
PMCPMC13415257

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