Evidence map›Paper›PMID 40048040›Full record

ArticleJournal of neuro-oncology2025

Characterizing the molecular and spatial heterogeneity of midline gliomas in adults: a single institution analysis.

Bryan J Neth, Robert M Kraft, Kathryn L Eschbacher, Derek R Johnson, Paul A Decker, Ugur T Sener, Joon H Uhm, Michael W Ruff, Jonathan D Schwartz, William G Breen and 6 more

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Article in Journal of neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Bryan J Neth *Department of Neurology, Mayo Clinic, Rochester, MN, USA.
Robert M Kraft *Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Kathryn L EschbacherDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Derek R JohnsonDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Paul A DeckerDepartment of Quantitative Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Ugur T SenerDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Joon H UhmDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Michael W RuffDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Jonathan D SchwartzDepartment of Pediatric Hematology and Oncology, Mayo Clinic, Rochester, MN, USA.
William G BreenDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN, USA.
Muhammad Asad MaqboolDepartment of Medical Oncology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
David J DanielsDepartment of Neurosurgery, Mayo Clinic, Rochester, MN, USA.
Terry C BurnsDepartment of Neurosurgery, Mayo Clinic, Rochester, MN, USA.
Ian F ParneyDepartment of Neurosurgery, Mayo Clinic, Rochester, MN, USA.
Aditya RaghunathanDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Sani H KizilbashDepartment of Medical Oncology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. kizilbash.sani@mayo.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrimary gliomas arising within midline structures of the central nervous system are associated with a worse prognosis compared with hemispheric gliomas. In adults, compared to their pediatric counterparts, adult midline gliomas are not as clearly characterized on the clinical behavior, prognostic factors, and treatment approaches for these diseases.

methodsThis retrospective cohort assessed all adult (≥ 18 years) patients from our institution with diffuse gliomas arising from midline structures at time of diagnosis (2014-2020). Molecular features characterized using immunohistochemistry, targeted next-generation sequencing, and chromosomal microarray analysis were collected. Patient characteristics were compared across groups using analysis of variance, Kruskal-Wallis, and the chi-square test as appropriate. Cumulative progression-free survival (PFS) and overall survival (OS) probabilities were estimated using the Kaplan-Meier method. Comparisons across groups were made using the log rank test.

results79 patients were included in analysis, with a median follow-up of 22.5 months (range, 0.6-123). The mean age at diagnosis was 44.5 years (range, 19.4-76.4), and 51% (n = 40) were female. Thalamus/basal ganglia was the most common primary tumor location (47%), followed by the brainstem (30%), and cerebellum (23%). For the entire cohort, median PFS was 11.5 months (95% CI 9.4-20.1), and median OS was 25.5 months (95% CI 22.0-38.2). We grouped primary tumor types into four distinct diagnostic entities based on integrated histological and molecular features, which had survival differences (log-rank p = 0.007)-diffuse midline glioma, H3 K27-altered (17% with median OS 19.4 months); astrocytoma, IDH-wild type, not otherwise specified (42% with median OS 25.5 months); glioblastoma, IDH-wild type (24% with median OS 11.0 months); and astrocytoma, IDH-mutant (18% with OS 63.3 months). There were no cases of IDH-mutant tumors in the thalamus/basal ganglia. IDH-mutant tumors had better prognosis (OS: IDH-mutant 63.3 months, IDH-wild type 22.5 months, log-rank p = 0.003). Tumor enhancement and diffusion restriction at initial diagnosis was associated with worse prognosis (OS: enhancing 22.0 months, non-enhancing 64.5 months, log-rank p < 0.001; OS: restriction 20.3 months, no restriction 30.6 months, log-rank p = 0.028).

conclusionThere is significant molecular heterogeneity between midline gliomas which has prognostic implications. These findings emphasize the need to molecularly characterize these tumors to facilitate personalized treatment approaches.

Indexed as

Biomarkers, TumorBrain NeoplasmsGliomaAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedMutationPrognosisRetrospective StudiesSurvival RateYoung AdultBiomarkers, TumorBrain tumorGlioblastomaMidline gliomaMolecular heterogeneityNeuro-oncologyPrognosis

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.