ReviewDrug delivery and translational research2026
Rational design of anticancer multidrug nanosystems and their adaptation for glioblastoma treatment.
Review in Drug delivery and translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Peptide-Based Nanocomplexes Enable Transferrin-Mediated Uptake and p53-Driven Antitumor Activity in 2D and 3D Glioblastoma Models.International journal of molecular sciences · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Multidrug nanosystems emerged as an innovation in anticancer therapy, addressing key limitations of conventional mono- and combination therapies, such as poor tumor selectivity, systemic toxicity, low stability and drug resistance. Following the clinical approval of Vyxeos® in 2018, growing therapeutic interest and advances in nanomedicine have paved the way for a new wave of promising next-generation multidrug nanoparticle candidates. These nanosystems offer the unique ability to co-deliver multiple therapeutic agents, aligning pharmacokinetics, improving tumor targeting, and enabling controlled drug release. By incorporating small molecules, genetic material, peptides, and proteins, multidrug nanosystems can achieve potent anticancer effects that significantly enhance therapeutic outcomes. In glioblastoma context these can play a particularly important role, as treatment is limited by tumor cells resistance, as much as low blood-brain barrier penetration. Here, the design principles underlying anticancer multidrug nanosystems are explored, including concurrent and sequential drug delivery strategies, and highlighting recently proposed advances in drug loading, active targeting, and stimuli-responsive mechanisms. A special focus is placed on how these platforms have been designed to improve or bypass blood-brain barrier penetration, and overcome other glioblastoma resistance mechanism challenges. Besides their therapeutic potential, current challenges, including the need for rational therapeutic combination selection, ensuring biosafety, and balancing potency with cost-effectiveness for clinical translation, are discussed. By summarizing recent advances and addressing the remaining hurdles, this review underscores the transformative potential of multidrug nanosystems in cancer therapy, particularly for the hard-to-treat glioblastoma, and outlines the steps needed to accelerate their path to clinical application.
Indexed as
Identifiers
41407985What Socratic 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 Socratic graph.