ArticleJournal of controlled release : official journal of the Controlled Release Society2014
Polymer-enhanced delivery increases adenoviral gene expression in an orthotopic model of bladder cancer.
Article in Journal of controlled release : official journal of the Controlled Release Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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Who cites it
12 citing papers in PubMed, 22 citations in OpenAlex.
- Establishment of a visualized mouse orthotopic xenograft model of nasopharyngeal carcinoma.Cancer biology & therapy · 2024Article
- Evaluation of drug carrier hepatotoxicity using primary cell culture models.Nanomedicine : nanotechnology, biology, and medicine · 2023Article
- A library of aminoglycoside-derived lipopolymer nanoparticles for delivery of small molecules and nucleic acids.Journal of materials chemistry. B · 2020Article
- Adhesive thermosensitive gels for local delivery of viral vectors.Biotechnology and bioengineering · 2019Article
- Gold nanoparticle coatings as efficient adenovirus carriers to non-infectable stem cells.RSC advances · 2019Article
- Electrostatic interaction of tumor-targeting adenoviruses with aminoclay acquires enhanced infectivity to tumor cells inside the bladder and has better cytotoxic activity.Drug delivery · 2018Article
- Bioreducible Poly(Amino Ethers) Based mTOR siRNA Delivery for Lung Cancer.Pharmaceutical research · 2018Article
- Folate receptor-targeted aminoglycoside-derived polymers for transgene expression in cancer cells.Bioengineering & translational medicine · 2016Article
- Dextran functionalization enhances nanoparticle-mediated siRNA delivery and silencing.Technology · 2016Article
- A Biomimic Reconstituted High-Density-Lipoprotein-Based Drug and p53 Gene Co-delivery System for Effective Antiangiogenesis Therapy of Bladder Cancer.Nanoscale research letters · 2015Article
- Immune therapies in non-muscle invasive bladder cancer.Current treatment options in oncology · 2015Review
- Parallel synthesis of poly(amino ether)-templated plasmonic nanoparticles for transgene delivery.ACS applied materials & interfaces · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Gene therapy has garnered significant attention as a therapeutic approach for bladder cancer but efficient delivery and gene expression remain major hurdles. The goal of this study was to determine if cationic polymers can enhance adenoviral gene expression in cells that are difficult to transduce in vitro and to subsequently investigate lead candidates for their capacity to increase adenoviral gene expression in an orthotopic in vivo model of bladder cancer. In vitro screening of linear polyamine-based and aminoglycoside-based polymer libraries identified several candidates that enhanced adenoviral reporter gene expression in vitro. The polyamine-based polymer NPGDE-1,4 Bis significantly enhanced adenoviral gene expression in the orthotopic model of bladder cancer but unfortunately further use of this polymer was limited by toxicity. In contrast, the aminoglycoside-based polymer paromomycin-BGDE, enhanced adenoviral gene expression within the bladder without adverse events. Our study demonstrates for the first time that cationic polymers can enhance adenoviral gene expression in an orthotopic model of bladder cancer, thereby providing the foundation for future studies to determine therapeutic benefits of polymer-adenovirus combination in bladder cancer gene therapy.
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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.