Evidence map›Paper›PMID 38003507›Full record

ReviewInternational journal of molecular sciences2023

Preclinical Models and Technologies in Glioblastoma Research: Evolution, Current State, and Future Avenues.

Hasan Slika, Ziya Karimov, Paolo Alimonti, Tatiana Abou-Mrad, Emerson De Fazio, Safwan Alomari, Betty Tyler

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Combinatorial treatment of glioblastoma with temozolomide (TMZ) plus 5-ethynyl-2'-deoxyuridine (EdU).Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. A clinically relevant model and method to study necrosis as a driving force in glioma restructuring and progression.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Article
  20. Article
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.

Hasan SlikaDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.ORCID 0000-0003-4597-3642
Ziya KarimovDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.ORCID 0000-0001-7237-4878
Paolo AlimontiSchool of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy.
Tatiana Abou-MradFaculty of Medicine, American University of Beirut, Beirut P.O. Box 11-0236, Lebanon.ORCID 0009-0007-0340-5846
Emerson De FazioSchool of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy.
Safwan AlomariDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.ORCID 0000-0002-7595-818X
Betty TylerDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.ORCID 0000-0001-9800-6969

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma is the most common malignant primary central nervous system tumor and one of the most debilitating cancers. The prognosis of patients with glioblastoma remains poor, and the management of this tumor, both in its primary and recurrent forms, remains suboptimal. Despite the tremendous efforts that are being put forward by the research community to discover novel efficacious therapeutic agents and modalities, no major paradigm shifts have been established in the field in the last decade. However, this does not mirror the abundance of relevant findings and discoveries made in preclinical glioblastoma research. Hence, developing and utilizing appropriate preclinical models that faithfully recapitulate the characteristics and behavior of human glioblastoma is of utmost importance. Herein, we offer a holistic picture of the evolution of preclinical models of glioblastoma. We further elaborate on the commonly used in vitro and vivo models, delving into their development, favorable characteristics, shortcomings, and areas of potential improvement, which aids researchers in designing future experiments and utilizing the most suitable models. Additionally, this review explores progress in the fields of humanized and immunotolerant mouse models, genetically engineered animal models, 3D in vitro models, and microfluidics and highlights promising avenues for the future of preclinical glioblastoma research.

Indexed as

Brain NeoplasmsGlioblastomaAnimalsDisease Models, AnimalHumansMice3D modelsanimal modelscell linesgenetic engineeringglioblastomamicrofluidicspreclinical models

Identifiers

PMID38003507
PMCPMC10671665

What Socratic 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 Socratic graph.