Evidence map›Paper›PMID 40867227›Full record

ReviewBrain sciences2025

Advancing Medulloblastoma Therapy in Pediatrics: Integrative Molecular Classification and Emerging Treatments.

David T Kim, Michaela Uloho-Okundaye, Stephen C Frederico, Santosh Guru, Min J Kim, Steven D Chang

Abstract readReview
In one paragraph

Review in Brain sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Pediatric medulloblastoma.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
    Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
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

6 authors.

David T KimHarvard College, Harvard University, Cambridge, MA 02138, USA.
Michaela Uloho-OkundayeHarvard College, Harvard University, Cambridge, MA 02138, USA.
Stephen C FredericoDepartment of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Santosh GuruSchool of Clinical Medicine, University of Cambridge, Cambridge CB2 0SP, UK.
Min J KimDepartment of Neurosurgery, Harvard Medical School and Mass General Brigham, Boston, MA 02115, USA.
Steven D ChangDepartment of Neurosurgery, Stanford School of Medicine, Palo Alto, CA 94304, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medulloblastoma (MB), the most common malignant pediatric brain tumor, has undergone reclassification from a histologically defined disease to a genetically stratified spectrum of distinct subgroups: WNT, SHH, Group 3, and Group 4. Advances in molecular profiling, as captured in the 2021 WHO CNS5 classification, have shown meaningful heterogeneity in terms of tumor biology, prognosis, and therapeutic response. However, translating these insights into precise, less toxic treatments remains an ongoing challenge. This review synthesizes current knowledge on MB subgroup biology, treatment strategies, and emerging therapies such as subgroup-specific inhibitors, immunotherapies, and novel chemotherapeutic regimens. This review also explores risk-adapted approaches while addressing global disparities in access to diagnostics and care. As the field moves toward individualized medicine, closing the gap between molecular understanding and equitable implementation will be crucial to improving outcomes and quality of life for children with medulloblastoma worldwide.

Indexed as

brain tumorsimmunotherapymedulloblastomaoncologypediatric brain tumorspediatric oncologyprecision medicinetargeted therapyWHO CNS5

Identifiers

PMID40867227
PMCPMC12384759

What OpenQuestion holds

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Registered trials

None linked

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.