ReviewNeuro-oncology2024
In vivo mouse models for adult brain tumors: Exploring tumorigenesis and advancing immunotherapy development.
Review in Neuro-oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- The WYZ-1 mouse glioblastoma stem cell model: A novel preclinical tool for tumor and therapy studies.Cancer letters · 2026Article
- The emerging role of microbiota in neuro-oncology.Nature reviews. Neurology · 2026Review
- Transcriptomic Challenges We Faced with Animal Models for Neurological Disorders.Current issues in molecular biology · 2026Review
- Metabolic licensing of quiescent glioblastoma activation and immune evasion via astrocyte-mitochondria shuttle.Nature communications · 2026Article
- Dendritic Cell Dysfunction Underlies Immune Escape After Adoptive Cellular Therapy in Glioblastoma.Cancers · 2026Article
- Decoding glioblastoma evolution and heterogeneity through mechanistic modeling: implications for clinical translation.Journal of experimental & clinical cancer research : CR · 2026Review
- Organoids as next-generation models for investigating intracranial tumours.Molecular brain · 2026Review
- Modeling blood-brain barrier-glioblastoma interactions: implications for chemoresistance and therapeutic targeting.Fluids and barriers of the CNS · 2026Review
- Bridging the gap between tumor and disease: Innovating cancer and glioma models.The Journal of experimental medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Brain tumors, particularly glioblastoma (GBM), are devastating and challenging to treat, with a low 5-year survival rate of only 6.6%. Mouse models are established to understand tumorigenesis and develop new therapeutic strategies. Large-scale genomic studies have facilitated the identification of genetic alterations driving human brain tumor development and progression. Genetically engineered mouse models (GEMMs) with clinically relevant genetic alterations are widely used to investigate tumor origin. Additionally, syngeneic implantation models, utilizing cell lines derived from GEMMs or other sources, are popular for their consistent and relatively short latency period, addressing various brain cancer research questions. In recent years, the success of immunotherapy in specific cancer types has led to a surge in cancer immunology-related research which specifically necessitates the utilization of immunocompetent mouse models. In this review, we provide a comprehensive summary of GEMMs and syngeneic mouse models for adult brain tumors, emphasizing key features such as model origin, genetic alteration background, oncogenic mechanisms, and immune-related characteristics. Our review serves as a valuable resource for the brain tumor research community, aiding in the selection of appropriate models to study cancer immunology.
Indexed as
Identifiers
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.