Evidence map›Paper›PMID 41561543›Full record

ReviewEcancermedicalscience2025

CAR-T in relapsed refractory high-grade glioma and glioblastoma - who, what, when and how?

Deevyashali Parekh, Ansy H Patel, Areeb Khan, Eloho Olojakpoke, Ashay Karpe, Zoya Peelay, Vijay Patil

Abstract readReview
In one paragraph

Review in Ecancermedicalscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Deevyashali ParekhDepartment of Medicine, SUNY Upstate Medical University, Syracuse, NY 13210, USA.
Ansy H PatelDepartment of Medicine, SUNY Upstate Medical University, Syracuse, NY 13210, USA.
Areeb KhanDepartment of Medicine, SUNY Upstate Medical University, Syracuse, NY 13210, USA.
Eloho OlojakpokeDepartment of Medicine, SUNY Upstate Medical University, Syracuse, NY 13210, USA.
Ashay KarpeDepartment of Medical Oncology, Sunrise Oncology Center, Mumbai 400092, India.
Zoya PeelayDepartment of Medical Oncology, Sunact Cancer Institute, Thane 400615, India.
Vijay PatilDepartment of Medical Oncology, Sunact Cancer Institute, Thane 400615, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recurrent high-grade gliomas have a dismal prognosis. This review article aimed to explore and help answer the questions about which group of patients would benefit from chimeric antigen receptor therapy (CAR-T) cell therapy in this setting, the timing of intervention and the therapeutic efficacy. CAR-T cell therapy involves the extraction of T-cells from patients, genetic modification of these cells to express chimeric antigen receptors on their cell surface, which are selectively targeted towards tumour-expressed antigens and a procedure of immune-depletion followed by re-introducing these engineered CAR-T cells into the host via infusion. Gliomas, particularly glioblastoma, present unique challenges due to their immune-evasive nature, location within the central nervous system and antigenic heterogeneity. Thus, several potential antigenic targets are being explored for CAR-T cell therapy, including B7 homolog 3, Disiloganglioside, Eph-A2, Eph-A3, IL-13Ra2, HER2, EGFRvIII and Matrix metalloproteinase-2.

Indexed as

antigensCD28 antigenscell- and tissue-based therapycentral nervous systemchimeric antigencytokinesepidermal growth factor receptor VIIIglioblastomagliomagranzymesmatrix metalloproteinase 2neoplasmreceptorssingle-chain antibodiesT-lymphocytestreatment outcometumour microenvironment

Identifiers

PMID41561543
PMCPMC12812813

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.