Evidence map›Paper›PMID 41030523›Full record

ReviewNeuro-oncology advances

Targeting the tumor microenvironment in pediatric gliomas: Advances and future directions in immunotherapy.

Cheyenne Ahamed, Lam Nguyen, Cayley S Brock, Ayla Farzamnia, Pierrick Millet, Keisaku Sato, Kevin K Kumar

Abstract readReview
In one paragraph

Review in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Preclinical Activity of the B7-H3-Targeting Antibody-Drug Conjugate Vobramitamab Duocarmazine in Pediatric Solid Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  2. Review
  3. Review
  4. 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.

Cheyenne AhamedDeparment of Neurosurgery, The University of Texas at Austin, Dell Medical School, Austin, TX, USA.ORCID https://orcid.org/0009-0000-9982-2036
Lam NguyenDeparment of Neurosurgery, The University of Texas at Austin, Dell Medical School, Austin, TX, USA.ORCID https://orcid.org/0000-0002-5731-361X
Cayley S BrockDeparment of Neurosurgery, The University of Texas at Austin, Dell Medical School, Austin, TX, USA.ORCID https://orcid.org/0009-0004-7013-3631
Ayla FarzamniaDeparment of Neurosurgery, The University of Texas at Austin, Dell Medical School, Austin, TX, USA.ORCID https://orcid.org/0009-0004-9504-3675
Pierrick MilletDeparment of Neurosurgery, The University of Texas at Austin, Dell Medical School, Austin, TX, USA.ORCID https://orcid.org/0009-0006-5351-0428
Keisaku SatoDeparment of Neurosurgery, The University of Texas at Austin, Dell Medical School, Austin, TX, USA.ORCID https://orcid.org/0000-0001-5380-8001
Kevin K KumarUT Health Austin Pediatric Neurosciences, Dell Children's Medical Center, Austin, TX, USA.ORCID https://orcid.org/0000-0002-0704-1492

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment (TME) is a critical determinant of tumor progression and therapeutic response in gliomas. While pediatric gliomas have historically been treated using strategies derived from the management of adult gliomas, emerging evidence reveals that pediatric gliomas possess a unique TME. The pediatric TME is distinct, characterized not only by differences in cellular composition but a lower mutational burden, diminished neoantigen presentation, and heightened immunosuppressive activity. The unique immune landscape, developmental trajectories, and immune escape mechanisms in the pediatric TME create barriers to effective therapy. Recent studies show promising results in novel and advanced therapeutic strategies, highlighting the potential for innovative immunotherapeutic approaches. Advances in methodologies for modeling the TME, including computational approaches and animal-based models, provide new insights into pediatric glioma biology. Utilization of computational models may provide opportunities to predict tumor response to specific therapies and tailor immunotherapy regimes to individuals, allowing for personalized care. Leveraging the unique features of the pediatric TME offers an opportunity to overcome current barriers to immunotherapy and develop more effective, age- and tumor-specific treatment strategies.

Indexed as

computational modelingimmunotherapypediatric gliomatumor microenvironment

Identifiers

PMID41030523
PMCPMC12477475

What OpenQuestion holds

Textmetadata
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.