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Record W7158886691 · doi:10.1093/noajnl/vdaf262

From blunt tools to bullseyes: The impact of targeted therapy in pediatric neuro-oncology

2025· article· en· W7158886691 on OpenAlexaffabout
Julie Bennett, Eric Bouffet

Bibliographic record

VenueNeuro-Oncology Advances · 2025
Typearticle
Languageen
FieldMedicine
TopicNeuroblastoma Research and Treatments
Canadian institutionsPrincess Margaret Cancer CentreHospital for Sick Children
Fundersnot available
KeywordsBluntTargeted therapyMEDLINEClinical trial

Abstract

fetched live from OpenAlex

Central nervous system (CNS) tumors are the 2nd most common type of tumor found in children and account for the highest rate of cancer-related death in pediatrics.1 Historically, treatment for CNS tumors employed multimodal therapy, including surgery, chemotherapy, and/or radiation. While these treatments were life-saving for many patients, they were biologically indiscriminate and could be associated with long-term toxicity.2 Over the past 15 years, there have been extraordinary advances made in understanding tumor biology for pediatric CNS tumors, which has opened a new therapeutic era of precision medicine. This shift began with observations in patients with germline cancer predisposition syndromes. In tuberous sclerosis complex, patients with subependymal giant cell astrocytoma are at risk of developing obstructive hydrocephalus. Treatment with mTOR inhibitors offered rapid and remarkable reduction in tumor size, allowing avoidance of surgery and radiation and providing initial evidence of the significant impact of targeted therapy.3 Following this, there was identification of recurrent RAS/MAPK alterations in pediatric low-grade glioma. Involvement of this pathway in gliomagenesis had been recognized for many years, as patients with neurofibromatosis type 1 were at risk for developing optic pathway glioma, but additional alterations involving BRAF and FGFR were subsequently discovered.4–6 This has been followed by other rare alterations in glioma, including NTRK fusions, ALK rearrangements, recurrent histone mutations in high-grade glioma, and hypermutation in patients with underlying mismatch repair deficiency.7–10 Each one of these alterations identified an area of tumor vulnerability, where targeted therapy could inhibit a specific cell pathway or cellular interaction, leading to more precise tumor-specific therapies. In many cases, targeted therapy has been nothing short of revolutionary, moving from hope for stable disease to unprecedented radiologic and clinical responses. While these exciting treatment advances have changed treatment paradigms, many open questions remain. Durability of response is emerging as a potential issue, with uncertainty regarding the optimal duration of therapy.11 Long-term effects of targeted therapies are currently unknown, with unusual and unique short-term toxicities seen with different classes of drugs, ranging from rash (BRAF and MEK inhibitors) and growth delay (RAF inhibitors) to concerns about bone health (NTRK and FGFR inhibitors) and beyond.12–14 Functional outcomes have not been studied in a comprehensive manner, and it is uncertain what the long-term benefit of targeted therapy will be, including metrics such as vision, school/work performance, and endocrine and neurocognitive outcomes. For higher-grade tumors, targeted therapy may only offer temporary benefit, with further investigation needed to understand resistance mechanisms and identify biomarkers to better risk stratify patients.15 To date, most targeted therapies have been offered as a single agent, and the role of combination therapy is still very limited.16 Within neuro-oncology, patients with glioma have benefited the most from targeted therapy, and the role of targeted therapy in other CNS tumors such as medulloblastoma, ependymoma, and other embryonal and rare tumors is still being explored.17, 18 Unfortunately, these paradigm-changing advances have only benefited select populations. Most patients that could benefit from targeted therapy live in areas of the world without access to comprehensive molecular analysis or access to relevant drugs. Certain alterations, such as FGFR alterations and histone mutations, do not have highly effective medications available at this time, highlighting a need for ongoing drug development. Lastly, clinical trials have been done in pediatric populations, where these tumors are concentrated. While this is a logical approach, there is limited data on outcomes and toxicities in the adolescent and young adult (AYA) population. It is known that pediatric-type tumors transcend institutionally defined age cut-offs, which may lead to drug access issues if drugs are only approved up to a certain age.19 This is an exciting new frontier in pediatric neuro-oncology, one in which there is hope for better disease control and improved long-term outcomes. As a community, we need to ensure there is long-term monitoring of patients, ongoing basic science and translational research to better understand tumor evolution with targeted therapy, and equitable access to testing and drugs for all populations globally. Within the current issue of Neuro-Oncology Advances, the current evidence and controversies in targeted therapies are further explored, with a focus on glioma. This includes treatment for common alterations (BRAF or NF1 alterations), rare alterations (FGFR and NTRK), tumors with poor outcomes (diffuse midline glioma), and marginalized populations (those living in low/middle-income countries and AYAs). We believe this gives a comprehensive overview of the current landscape of targeted therapy options for CNS tumors. While more work remains to be done in this field, the outcomes seen to date demonstrate the promise of targeted therapy, with the hope that the bullseye we hit today will pave the road for improved precision medicine in the future. J.B. served on advisory boards for Servier Canada, Alexion Canada and Rhythm Pharmaceuticals. E.B. is a member of advisory boards with Novartis, Servier, Alexion, and Fore. This article appears as part of the supplement “Targeted Therapies in Pediatric Brain Tumors,” sponsored by Day One Biopharmaceuticals. There are no new data associated with this article.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.799

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.380
Teacher spread0.358 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes2
Has abstractyes

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