ArticlePloS one2012
Development of peritoneal tumor-targeting vector by in vivo screening with a random peptide-displaying adenovirus library.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 22 citations in OpenAlex.
- ADEVO: Proof-of-concept of adenovirus-directed EVOlution by random peptide display on the fiber knob.Molecular therapy. Oncology · 2024Article
- Oxime-Linked Peptide-Daunomycin Conjugates as Good Tools for Selection of Suitable Homing Devices in Targeted Tumor Therapy: An Overview.International journal of molecular sciences · 2024Review
- Phage Display-Based Homing Peptide-Daunomycin Conjugates for Selective Drug Targeting to PANC-1 Pancreatic Cancer.Pharmaceutics · 2020Article
- Gene Therapy Leaves a Vicious Cycle.Frontiers in oncology · 2019Review
- Strong antitumor efficacy of a pancreatic tumor-targeting oncolytic adenovirus for neuroendocrine tumors.Cancer medicine · 2017Article
- Recent advances in genetic modification of adenovirus vectors for cancer treatment.Cancer science · 2017Review
- Biomathematical description of synthetic peptide libraries.PloS one · 2015Article
- Nanoparticle ligand presentation for targeting solid tumors.AAPS PharmSciTech · 2014Review
- Peptide-based technologies to alter adenoviral vector tropism: ways and means for systemic treatment of cancer.Viruses · 2014Review
- Development of a novel efficient method to construct an adenovirus library displaying random peptides on the fiber knob.Molecular pharmaceutics · 2014Article
- The novel fusion protein sTRAIL-TMTP1 exhibits a targeted inhibition of primary tumors and metastases.Journal of molecular medicine (Berlin, Germany) · 2014Article
- Synthetic virology: engineering viruses for gene delivery.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The targeting of gene transfer at the cell-entry level is one of the most attractive challenges in vector development. However, attempts to redirect adenovirus vectors to alternative receptors by engineering the capsid-coding region have shown limited success, because the proper targeting ligands on the cells of interest are generally unknown. To overcome this limitation, we have constructed a random peptide library displayed on the adenoviral fiber knob, and have successfully selected targeted vectors by screening the library on cancer cell lines in vitro. The infection of targeted vectors was considered to be mediated by specific receptors on target cells. However, the expression levels and kinds of cell surface receptors may be substantially different between in vitro culture and in vivo tumor tissue. Here, we screened the peptide display-adenovirus library in the peritoneal dissemination model of AsPC-1 pancreatic cancer cells. The vector displaying a selected peptide (PFWSGAV) showed higher infectivity in the AsPC-1 peritoneal tumors but not in organs and other peritoneal tumors as compared with a non-targeted vector. Furthermore, the infectivity of the PFWSGAV-displaying vector for AsPC-1 peritoneal tumors was significantly higher than that of a vector displaying a peptide selected by in vitro screening, indicating the usefulness of in vivo screening in exploring the targeting vectors. This vector-screening system can facilitate the development of targeted adenovirus vectors for a variety of applications in medicine.
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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.