ArticleBiomedicines2024
CRISPR/Cas9-Mediated Gene Therapy for Glioblastoma: A Scoping Review.
Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled 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.
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
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Augmented Reality Integration in Skull Base Neurosurgery: A Systematic Review.Medicina (Kaunas, Lithuania) · 2024Pooled it
- Advanced gene editing technologies for oncology mechanisms, applications, and clinical implementation.Cancer gene therapy · 2026Review
- Exploring the Role of Long Non-Coding RNAs in Mediating Cisplatin Resistance in Glioma/Glioblastoma Cells.International journal of molecular sciences · 2026Review
- BBB-aware stimuli-responsive and biomimetic nanomedicines for glioblastoma.Chinese neurosurgical journal · 2026Review
- Decoding glioblastoma evolution and heterogeneity through mechanistic modeling: implications for clinical translation.Journal of experimental & clinical cancer research : CR · 2026Review
- RNA-based precision medicine in glioblastoma driven by oncogenic gene fusions.Molecular therapy. Oncology · 2026Review
- Reassessing Viral Gene Therapy for Glioblastoma: Translational Opportunities and Challenges.The Yale journal of biology and medicine · 2026Review
- Recent Developments in Lipid Nanoparticle-Mediated Delivery of Biotherapeutics and Gene Therapy Across the Blood-Brain Barrier.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026Review
- The Role of CRISPR and Its Therapeutic Applications in Glioblastoma.International journal of molecular sciences · 2026Review
- Local Nanomedicine and Nano-Enabled Biomaterials After Glioblastoma Resection.International journal of nanomedicine · 2026Review
- The evolution of chemotherapy in brain tumors: from historical milestones to precision medicine in glioblastoma.Exploration of targeted anti-tumor therapy · 2026Review
- Integrating CRISPR/Cas technology with clinical trials: Principles, progress and challenges.Asian journal of pharmaceutical sciences · 2025Review
- Beyond borders: engineering organ-targeted immunotherapies to overcome site-specific barriers in cancer.Drug delivery and translational research · 2025Review
- Potential of Exosomes as Multifunctional Nanocarriers for Targeted Drug Delivery.Molecular biotechnology · 2025Review
- Glucose and antidiabetic therapy in temozolomide resistance in glioblastoma.World journal of clinical oncology · 2025Review
- Overcoming the blood-brain barrier (BBB) in pediatric CNS tumors: immunotherapy and nanomedicine-driven strategies.Medical oncology (Northwood, London, England) · 2025Review
- Glioblastoma: From Pathophysiology to Novel Therapeutic Approaches.Biomedicines · 2025Review
- Advanced nanotheranostic approaches for targeted glioblastoma treatment: a synergistic fusion of CRISPR-Cas gene editing, AI-driven tumor profiling, and BBB-modulation.Medical oncology (Northwood, London, England) · 2025Review
- Precision Neuro-Oncology in Glioblastoma: AI-Guided CRISPR Editing and Real-Time Multi-Omics for Genomic Brain Surgery.International journal of molecular sciences · 2025Review
- Current perspectives in drug targeting intrinsically disordered proteins and biomolecular condensates.BMC biology · 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
10 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This scoping review examines the use of CRISPR/Cas9 gene editing in glioblastoma (GBM), a predominant and aggressive brain tumor. Categorizing gene targets into distinct groups, this review explores their roles in cell cycle regulation, microenvironmental dynamics, interphase processes, and therapy resistance reduction. The complexity of CRISPR-Cas9 applications in GBM research is highlighted, providing unique insights into apoptosis, cell proliferation, and immune responses within the tumor microenvironment. The studies challenge conventional perspectives on specific genes, emphasizing the potential therapeutic implications of manipulating key molecular players in cell cycle dynamics. Exploring CRISPR/Cas9 gene therapy in GBMs yields significant insights into the regulation of cellular processes, spanning cell interphase, renewal, and migration. Researchers, by precisely targeting specific genes, uncover the molecular orchestration governing cell proliferation, growth, and differentiation during critical phases of the cell cycle. The findings underscore the potential of CRISPR/Cas9 technology in unraveling the complex dynamics of the GBM microenvironment, offering promising avenues for targeted therapies to curb GBM growth. This review also outlines studies addressing therapy resistance in GBM, employing CRISPR/Cas9 to target genes associated with chemotherapy resistance, showcasing its transformative potential in effective GBM treatments.
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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.