ReviewCellular and molecular life sciences : CMLS2014
In vivo models of brain tumors: roles of genetically engineered mouse models in understanding tumor biology and use in preclinical studies.
Review in Cellular and molecular life sciences : CMLS, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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
25 citing papers in PubMed, 55 citations in OpenAlex.
- Translational Models for Glioblastoma: Revolutionizing Drug Development and Personalized Medicine through Clinical Insights.Theranostics · 2026Review
- Current Landscape of Preclinical Models for Pediatric Gliomas: Clinical Implications and Future Directions.Cancers · 2025Review
- Recent Advances in Pineoblastoma Research: Molecular Classification, Modelling and Targetable Vulnerabilities.Cancers · 2025Review
- A novel phosphodiesterase target as a therapeutic approach: inhibiting DEN-induced hepatocellular carcinoma progression.EXCLI journal · 2025Review
- Journey through tumorverse: Creating models to decode PXA mysteries.Molecular therapy. Oncology · 2024Article
- Zebrafish-A Suitable Model for Rapid Translation of Effective Therapies for Pediatric Cancers.Cancers · 2024Review
- Metabolic models predict fotemustine and the combination of eflornithine/rifamycin and adapalene/cannabidiol for the treatment of gliomas.Briefings in bioinformatics · 2024Article
- Preclinical Models and Technologies in Glioblastoma Research: Evolution, Current State, and Future Avenues.International journal of molecular sciences · 2023Review
- Bifunctional cancer cell-based vaccine concomitantly drives direct tumor killing and antitumor immunity.Science translational medicine · 2023Article
- A rigorous behavioral testing platform for the assessment of radiation-induced neurological outcomes.Methods in cell biology · 2023Article
- Dual EGFR- and TfR-targeted gene transfer for sodium iodide symporter gene therapy of glioblastoma.Molecular therapy oncolytics · 2022Article
- Isolation of myeloid cells from mouse brain tumors for single-cell RNA-seq analysis.STAR protocols · 2021Article
- Advances in Research of Adult Gliomas.International journal of molecular sciences · 2021Review
- Review
- Review
- Nanocarrier-based drug combination therapy for glioblastoma.Theranostics · 2020Review
- Temporal and spatial modulation of the tumor and systemic immune response in the murine Gl261 glioma model.PloS one · 2020Article
- Dissecting and rebuilding the glioblastoma microenvironment with engineered materials.Nature reviews. Materials · 2019Article
- Article
- Review: Synthetic scaffolds to control the biochemical, mechanical, and geometrical environment of stem cell-derived brain organoids.APL bioengineering · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although our knowledge of the biology of brain tumors has increased tremendously over the past decade, progress in treatment of these deadly diseases remains modest. Developing in vivo models that faithfully mirror human diseases is essential for the validation of new therapeutic approaches. Genetically engineered mouse models (GEMMs) provide elaborate temporally and genetically controlled systems to investigate the cellular origins of brain tumors and gene function in tumorigenesis. Furthermore, they can prove to be valuable tools for testing targeted therapies. In this review, we discuss GEMMs of brain tumors, focusing on gliomas and medulloblastomas. We describe how they provide critical insights into the molecular and cellular events involved in the initiation and maintenance of brain tumors, and illustrate their use in preclinical drug testing.
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What 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.