ArticleCancer gene therapy2011
Retargeting adenoviral vectors to improve gene transfer into tumors.
Article in Cancer gene therapy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed, 17 citations in OpenAlex.
- Progress in Adenoviral Capsid-Display Vaccines.Biomedicines · 2018Review
- Role of gut microbiota and oxidative stress in the progression of non-alcoholic fatty liver disease to hepatocarcinoma: Current and innovative therapeutic approaches.Redox biology · 2018Review
- The evolution of adenoviral vectors through genetic and chemical surface modifications.Viruses · 2014Review
- The functional role of MnSOD as a biomarker of human diseases and therapeutic potential of a new isoform of a human recombinant MnSOD.BioMed research international · 2014Article
- MicroRNA silencing improves the tumor specificity of adenoviral transgene expression.Cancer gene therapy · 2012Article
- Peptide targeting of adenoviral vectors to augment tumor gene transfer.Cancer gene therapy · 2012Article
- Targeting different types of human meningioma and glioma cells using a novel adenoviral vector expressing GFP-TRAIL fusion protein from hTERT promoter.Cancer cell international · 2011Article
- Microvascular modifications in diabetic retinopathy.Current diabetes reports · 2011Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Gene targeting to tumors using adenoviral (Ad) vectors holds great potential for cancer imaging and therapy, but the limited efficacy of current methods used to improve delivery to target tissues and reduce unwanted interactions remain substantial barriers to further development. Progress in characterizing the set of molecular interactions used by Ad vectors to infect particular tissues has aided the development of novel strategies for retargeting vectors to tumor cells. One method is chemical retargeting of adenovirus using bispecific antibodies (bsAbs) against both viral capsid proteins and tumor-specific cell surface molecules. This approach can be combined either with competitive inhibitors designed to reduce viral tropism in undesired tissues, or with traditional therapeutics to increase the expression of surface molecules for improved tumor targeting. Ablating liver cell-specific interactions through mutation of capsid proteins or chemical means are promising strategies for reducing adenovirus-induced liver toxicity. The nature of tumor neovasculature also influences Ad delivery, and the use of vascular disrupting agents (VDAs) such as combretastatin can help elucidate these contributions. In this investigation, we evaluate a variety of these methods for retargeting Ad vectors to tumor cells in vitro and in vivo, and assess the contributions of specific molecular and tissue interactions that affect Ad transgene delivery.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.