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Enregistrement W7158886691 · doi:10.1093/noajnl/vdaf262

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

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

Notice bibliographique

RevueNeuro-Oncology Advances · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueNeuroblastoma Research and Treatments
Établissements canadiensPrincess Margaret Cancer CentreHospital for Sick Children
Organismes subventionnairesnon disponible
Mots-clésBluntTargeted therapyMEDLINEClinical trial

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,011
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,010
Score d'incertitude au seuil0,035

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,011
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,003
Communication savante0,0030,006
Science ouverte0,0010,002
Intégrité de la recherche0,0030,005
Charge utile insuffisante (le modèle a refusé de juger)0,0100,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,022
Tête enseignante GPT0,380
Écart entre enseignants0,358 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission2
Résumé présentoui

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