ReviewActa neurologica Belgica2024
CAR T-cell therapy: a potential treatment strategy for pediatric midline gliomas.
Review in Acta neurologica Belgica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Locoregional and systemic adoptive cellular therapies for pediatric brain tumors: a systematic review of CAR‑T, TCR‑engineered T cells, and NK cell strategies.Neurosurgical review · 2026Pooled it
- Overcoming resistance in glioblastoma immunotherapy: lessons from the past and opportunities for the future.Molecular biology reports · 2026Review
- A Tonic Signaling Code Predicts CAR-T Cell Efficacy in Diffuse Midline Glioma.bioRxiv : the preprint server for biology · 2025Article
- Preliminary exploration of PSMA CAR-T combined with GD2 CAR-T for the treatment of refractory/relapsed gliomas.Journal of translational medicine · 2025Article
- Predicting GD2 expression across cancer types by the integration of pathway topology and transcriptome data.Frontiers in bioinformatics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pediatric brain tumors are the primary cause of death in children with cancer. Diffuse midline glioma (DMG) and diffuse intrinsic pontine glioma (DIPG) are frequently unresectable due to their difficult access location, and 5-year survival remains less than 20%. Despite significant advances in tumor biology and genetics, treatment options remain limited and ineffective. Immunotherapy using T cells with a chimeric antigen receptor (CAR) that has been genetically engineered is quickly emerging as a new treatment option for these patients. High levels of expression were detected for both disialoganglioside (GD2) and B7-H3 in pediatric DMG/DIPG. Numerous studies have been conducted in recent years employing various generations of GD2-CAR T cells. The two most prevalent adverse effects found with this therapy are cytokine release syndrome, which varies in severity from mild constitutional symptoms to a high-grade disease associated with potentially fatal multi-organ failure, and neurotoxicity, known as CAR T-cell-related encephalopathy syndrome. During the acute phase of anticancer action, peri-tumoral neuro-inflammation might cause deadly hydrocephalus. The initial results of clinical trials show that the outcomes are not highly encouraging as B cell malignancies and myelomas. In vivo research on CAR T-cell therapy for DIPG has yielded encouraging results, but in human trials, the early results have shown potentially fatal side effects and very modest, but fleeting improvements. Solid tumors present a hindrance to CAR T-cell therapy because of the antigenic dilemma and the strong immune-suppressing tumor microenvironment.
Indexed as
Identifiers
38669002What OpenQuestion holds
Registered trials
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.