ReviewMedical oncology (Northwood, London, England)2025
Advanced nanotheranostic approaches for targeted glioblastoma treatment: a synergistic fusion of CRISPR-Cas gene editing, AI-driven tumor profiling, and BBB-modulation.
Review in Medical oncology (Northwood, London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Artificial intelligence revolutionizing CNS drug discovery and development.Drug discovery today · 2026Review
- Precision Immunotherapeutics for Glioblastoma: Current Approaches and Emerging Strategies in 2026.Cells · 2026Review
- Targeting brain tumours with precision: advances in magnetic nanoparticle therapy.Nanoscale advances · 2026Review
- Ultrasound medicine in the era of precision theranostics: Mechanisms, molecular strategies, and clinical translation.Iranian journal of basic medical sciences · 2026Review
- CRISPR and Artificial Intelligence in Neuroregeneration: Closed-Loop Strategies for Precision Medicine, Spinal Cord Repair, and Adaptive Neuro-Oncology.International journal of molecular sciences · 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
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioblastoma (GBM) is the most aggressive primary brain tumor in adults. It is hard to treat because it is very invasive, has a lot of genetic variation, and the blood-brain barrier (BBB) limits its growth. Traditional GBM treatments, including surgery, radiation and chemotherapy have only marginally improved survival requiring a paradigm shift. This review starts a new way of thinking about how to treat GBM by combining multi-responsive nanotheranostics, next-generation genome engineering, and AI-enabled stratification. The study compares smart nanocarriers that can transport payloads accurately and only when needed. CRISPR/Cas systems are useful for directly editing oncogenes, controlling GBM signaling cascades, making resistant cells sensitive again, and changing the ways that cells avoid the immune system. Nanoparticle-mediated CRISPR delivery and BBB disruption approaches, including targeted ultrasound, receptor-mediated transcytosis, and exosome-based delivery, could help get around the neuroprotective shield without damaging it. This review investigates the molecular aspects of the BBB, highlighting its dual role as a metabolic and efflux transporter-mediated barrier, and assesses cutting-edge nanocarrier systems, in particular hybrid exosome-nanoparticle designs, that aim to circumvent these limitations. Additionally, it explores the current limitations and possible future applications of gene editing tools and AI models for navigating the genomic instability and ever-changing tumor microenvironment of GBM. This study also discusses the ethical and legal issues related to these developing technologies, therefore stressing the need for clinically feasible, ethically controlled innovation pipelines. With an emphasis on cutting-edge research, this review delves into emerging areas such as nanotheranostics, cellular composition of GBM, CRISPR-based gene editing, AI-enabled precision medicine, and targeted disruption of the blood-brain barrier.
Indexed as
Identifiers
40773116What 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.