ReviewMaterials today. Bio2025
Ultrasound-responsive nanoparticles for imaging and therapy of brain tumors.
Review in Materials today. Bio, 2025. 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.
- Narrowing of glioma vascular caliber via chronic VEGFR2 blockade improves the uniformity of focused ultrasound-mediated small molecule drug delivery.Journal of controlled release : official journal of the Controlled Release Society · 2026Article
- Hypothalamic wars: the last nanodelivery.Reviews in endocrine & metabolic disorders · 2026Review
- Dissecting the aberrant vasculature of glioblastoma: mechanisms and therapeutic targets.Cancer metastasis reviews · 2026Review
- Advances in the applications of stimulus-responsive nanomedicines for anti-cancer therapy.Nanomedicine (London, England) · 2026Review
- Smart biomaterials for cardiovascular, bone, and skin tissue engineering: mechanisms, applications, and future prospects.Journal of biological engineering · 2026Review
- Ultrasound-driven mechanical immunomodulation enhances tumor treatment sensitivity: advances from tumor mechanical immunobiology to immunotherapy applications.Frontiers in immunology · 2026Review
- Sensitization strategy for sonodynamic therapy.Theranostics · 2026Review
- Engineered nanomedicine remodels the postoperative cavity microenvironment to suppress glioblastoma recurrence.Theranostics · 2026Review
- Advancements in Tumor-Targeted Nanoparticles: Design Strategies and Multifunctional Therapeutic Approaches.Nanomaterials (Basel, Switzerland) · 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Central nervous system (CNS) cancers, particularly glioblastoma (GBM), are associated with high mortality and disability rates. Despite aggressive surgical resection, radiotherapy, and chemotherapy, patient survival remains poor. The blood-brain barrier (BBB) significantly impedes therapeutic efficacy, making BBB penetration a critical focus of research. Focused ultrasound (FUS) combined with microbubbles (MBs) can transiently open the BBB through mechanisms such as cavitation, modulation of tight junction protein expression, and enhanced vesicular transport in endothelial cells. This review highlights precision delivery and personalized treatment strategies under ultrasound visualization, including precise control of ultrasound parameters and modulation of the immune microenvironment. We discuss the applications of ultrasound-responsive nanoparticles in brain tumor therapy, including enhanced radiotherapy, gene delivery, immunotherapy, and sonodynamic therapy (SDT), with a particular emphasis on piezoelectric catalytic immunotherapy. Finally, we provide insights into the clinical translation potential of ultrasound-responsive nanoparticles for personalized and precision treatment of brain tumors.
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.