ReviewCancers2019
Genetically Engineered Mouse Models of Gliomas: Technological Developments for Translational Discoveries.
Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed.
- Modeling gliomas with organoids: Classification, fidelity, and guidelines for translational neuro-oncology.Neuro-oncology · 2026Review
- New developments and prospects for drug delivery in medulloblastoma.Molecular therapy. Oncology · 2026Review
- Exploring Neural Stem Cell Therapies as Innovative Treatments for Glioblastoma.Cellular and molecular neurobiology · 2025Review
- Review
- Review
- Role of scaffold proteins in the heterogeneity of glioblastoma.Cell communication and signaling : CCS · 2024Review
- Review
- Speeding up Glioblastoma Cancer Research: Highlighting the Zebrafish Xenograft Model.International journal of molecular sciences · 2024Review
- Breaking barriers for glioblastoma with a path to enhanced drug delivery.Nature communications · 2023Article
- Translational Models in Glioma Immunotherapy Research.Current oncology (Toronto, Ont.) · 2023Review
- Preclinical modeling of lower-grade gliomas.Frontiers in oncology · 2023Review
- Clinical impact of anti-inflammatory microglia and macrophage phenotypes at glioblastoma margins.Brain communications · 2023Article
- Leveraging extrachromosomal DNA to fine-tune trials of targeted therapy for glioblastoma: opportunities and challenges.Nature reviews. Clinical oncology · 2022Review
- Recent insights into the microRNA-dependent modulation of gliomas from pathogenesis to diagnosis and treatment.Cellular & molecular biology letters · 2022Review
- Chronic Stress Does Not Influence the Survival of Mouse Models of Glioblastoma.Frontiers in oncology · 2022Article
- Review
- Article
- Contemporary Mouse Models in Glioma Research.Cells · 2021Review
- Genome-editing approaches and applications: a brief review on CRISPR technology and its role in cancer.3 Biotech · 2021Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The most common brain tumours, gliomas, have significant morbidity. Detailed biological and genetic understanding of these tumours is needed in order to devise effective, rational therapies. In an era generating unprecedented quantities of genomic sequencing data from human cancers, complementary methods of deciphering the underlying functional cancer genes and mechanisms are becoming even more important. Genetically engineered mouse models of gliomas have provided a platform for investigating the molecular underpinning of this complex disease, and new tools for such models are emerging that are enabling us to answer the most important questions in the field. Here, I discuss improvements to genome engineering technologies that have led to more faithful mouse models resembling human gliomas, including new cre/LoxP transgenic lines that allow more accurate cell targeting of genetic recombination,
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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.