ArticleJournal of translational medicine2019
Microbubble-mediated delivery of human adenoviruses does not elicit innate and adaptive immunity response in an immunocompetent mouse model of prostate cancer.
Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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
11 citing papers in PubMed, 11 citations in OpenAlex.
- Oncolytic virus therapy for hepatocellular carcinoma: A bibliometric analysis of research landscapes, hotspots, and clinical transformation trends from 2000 to mid-2025.Human vaccines & immunotherapeutics · 2026Review
- Co-Formulation of Pembrolizumab Murine Surrogate RMP1-14 with ImagentPharmaceutics · 2026Article
- Microbubble-Protected Oncolytic Virotherapy Targeted by Sonoporation Induces Tumor Necrosis and T-Lymphocyte Infiltration in Humanized Mice Bearing Triple-Negative Breast Cancer.International journal of molecular sciences · 2024Article
- Extracellular matrix re-normalization to improve cold tumor penetration by oncolytic viruses.Frontiers in immunology · 2024Review
- Enhancing Targeted Therapy in Breast Cancer by Ultrasound-Responsive Nanocarriers.International journal of molecular sciences · 2023Review
- Microbubble drug conjugate and focused ultrasound blood brain barrier delivery of AAV-2 SIRT-3.Drug delivery · 2022Article
- Virus-Based Immuno-Oncology Models.Biomedicines · 2022Review
- Synergies between therapeutic ultrasound, gene therapy and immunotherapy in cancer treatment.Advanced drug delivery reviews · 2021Review
- Applications of Ultrasound-Mediated Drug Delivery and Gene Therapy.International journal of molecular sciences · 2021Review
- Prostate Microbiota and Prostate Cancer: A New Trend in Treatment.Frontiers in oncology · 2021Review
- Sonodelivery in Skeletal Muscle: Current Approaches and Future Potential.Bioengineering (Basel, Switzerland) · 2020Review
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundGene transfer to malignant sites using human adenoviruses (hAds) has been limited because of their immunogenic nature and host specificity. Murine cells often lack some of the receptors needed for hAds attachment, thus murine cells are generally non-permissive for human adenoviral infection and replication, which limits translational studies.
methodsWe have developed a gene transfer method that uses a combination of lipid-encapsulated perfluorocarbon microbubbles and ultrasound to protect and deliver hAds to a target tissue, bypassing the requirement of specific receptors.
resultsIn an in vitro model, we showed that murine TRAMP-C2 and human DU145 prostate cancer cells display a comparable expression pattern of receptors involved in hAds adhesion and internalization. We also demonstrated that murine and human cells showed a dose-dependent increase in the percentage of cells transduced by hAd-GFP (green fluorescent protein) after 24 h and that GFP transgene was efficiently expressed at 48 and 72 h post-transduction. To assess if our image-guided delivery system could effectively protect the hAds from the immune system in vivo, we injected healthy immunocompetent mice (C57BL/6) or mice bearing a syngeneic prostate tumor (TRAMP-C2) with hAd-GFP/MB complexes. Notably, we did not observe activation of innate (TNF-α and IL-6 cytokines), or adaptive immune response (neutralizing antibodies, INF-γ+ CD8
conclusionsThis study brings us a step closer to demonstrating the feasibility of murine cancer models to investigate the clinical translation of image guided site-specific adenoviral gene therapy mediated by ultrasound-targeted microbubble destruction.
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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.