Evidence map›Paper›PMID 41264121›Full record

ReviewCellular and molecular neurobiology2025

Exploring Neural Stem Cell Therapies as Innovative Treatments for Glioblastoma.

Marola Fawzy, Hend M ElTayebi, Amany Samir

Abstract readReview
In one paragraph

Review in Cellular and molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

3 authors.

Marola FawzySchool of Life and Medical Sciences, University of Hertfordshire Hosted By Global Academic Foundation, New Administrative Capital, Egypt.
Hend M ElTayebiDepartment of Pharmacology and Toxicology, Faculty of Pharmacy and Biotechnology, German University in Cairo, Cairo, Egypt.
Amany SamirSchool of Life and Medical Sciences, University of Hertfordshire Hosted by Global Academic Foundation, New Administrative Capital, Egypt. a.awad@gaf.edu.eg.ORCID http://orcid.org/0009-0001-1396-5640

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GB) is among the most aggressive and treatment-resistant brain tumors, largely due to its heterogeneous tumor microenvironment (TME) and the protective nature of the blood-brain barrier (BBB). Recent advances have highlighted the therapeutic potential of neural stem cells (NSCs), which possess tumor-homing capabilities that enable them to selectively migrate toward and infiltrate GB sites. Engineered NSCs can deliver therapeutic agents, including oncolytic viruses, prodrug-converting enzymes, and genetic materials, offering targeted treatment while minimizing systemic toxicity. Preclinical studies have demonstrated NSCs' promise in enhancing drug delivery, modulating the TME, and promoting anti-tumor immune responses. However, translational hurdles persist, including tumor heterogeneity, species-specific immune responses, and challenges in ensuring long-term safety. Emerging strategies-such as genetic modification to improve tumor targeting and the incorporation of biomaterials to enhance retention-are under investigation. Integrating personalized medicine approaches may further optimize NSC-based therapies by tailoring treatment to individual patient profiles. While significant barriers remain, ongoing research may ultimately establish NSCs as a viable and effective platform for GB therapy.

Indexed as

Brain NeoplasmsGlioblastomaNeural Stem CellsAnimalsHumansTumor MicroenvironmentBrain tumorGlioblastoma treatment strategiesNeural stem-cellsPersonalized therapy

Identifiers

PMID41264121
PMCPMC12634926

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.