Abstract:
:The application of cancer gene therapy has heretofore been restricted to local, or locoregional, neoplastic disease contexts. This is owing to the lack of gene transfer vectors, which embody the requisite target cell selectivity in vivo required for metastatic disease applications. To this end, we have explored novel vector engineering paradigms to adapt adenovirus for this purpose. Our novel strategy exploits three distinct targeting modalities that operate in functional synergy. Transcriptional targeting is achieved via the hROBO4 promoter, which restricts transgene expression to proliferative vascular endothelium. Viral binding is modified by incorporation of an RGD4C peptide in the HI loop of the fiber knob for recognition of cellular integrins. Liver sequestration is mitigated by ablation of factor X binding to the major capsid protein hexon by a serotype swap approach. The combination of these technologies into the context of a single-vector agent represents a highly original approach. Studies in a murine model of disseminated cancer validated the in vivo target cell selectivity of our vector agent. Of note, clear gains in therapeutic index accrued these vector modifications. Whereas there is universal recognition of the value of vector targeting, very few reports have validated its direct utility in the context of cancer gene therapy. In this regard, our article validates the direct gains that may accrue these methods in the stringent delivery context of disseminated neoplastic disease. Efforts to improve vector targeting thus represent a critical direction to fully realize the promise of cancer gene therapy.
journal_name
Mol Cancer Therjournal_title
Molecular cancer therapeuticsauthors
Lee M,Lu ZH,Li J,Kashentseva EA,Dmitriev IP,Mendonca SA,Curiel DTdoi
10.1158/1535-7163.MCT-19-0768subject
Has Abstractpub_date
2020-03-01 00:00:00pages
966-971issue
3eissn
1535-7163issn
1538-8514pii
1535-7163.MCT-19-0768journal_volume
19pub_type
杂志文章abstract::At the present time, the optimal development of molecularly targeted anticancer agents is limited by the lack of clinically applicable tools to predict drug effects. This study aimed to develop methods that might be useful in predicting the efficacy of targeted agents in a novel model system of human pancreatic cancer...
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journal_title:Molecular cancer therapeutics
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journal_title:Molecular cancer therapeutics
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