ReviewJournal of biomedicine & biotechnology2010
TAA polyepitope DNA-based vaccines: a potential tool for cancer therapy.
Review in Journal of biomedicine & biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 37 citations in OpenAlex.
- Recent developments in peptide vaccines against Glioblastoma, a review and update.Molecular brain · 2025Review
- Clinical research progress of telomerase targeted cancer immunotherapy: a literature review.Translational cancer research · 2024Review
- Gemogenovatucel-T (Vigil): bi-shRNA plasmid-based targeted immunotherapy.Future oncology (London, England) · 2024Review
- Cancer DNA vaccines: current preclinical and clinical developments and future perspectives.Journal of experimental & clinical cancer research : CR · 2019Review
- Induction of an antitumor response using dendritic cells transfected with DNA constructs encoding the HLA-A*02:01-restricted epitopes of tumor-associated antigens in culture of mononuclear cells of breast cancer patients.Immunologic research · 2016Article
- Gene Electrotransfer: A Mechanistic Perspective.Current gene therapy · 2016Review
- A novel minigene scaffold for therapeutic cancer vaccines.Oncoimmunology · 2014Article
- Highly optimized DNA vaccine targeting human telomerase reverse transcriptase stimulates potent antitumor immunity.Cancer immunology research · 2013Article
- Current status of immunotherapy for the treatment of biliary tract cancer.Human vaccines & immunotherapeutics · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA-based cancer vaccines represent an attractive strategy for inducing immunity to tumor associated antigens (TAAs) in cancer patients. The demonstration that the delivery of a recombinant plasmid encoding epitopes can lead to epitope production, processing, and presentation to CD8+ T-lymphocytes, and the advantage of using a single DNA construct encoding multiple epitopes of one or more TAAs to elicit a broad spectrum of cytotoxic T-lymphocytes has encouraged the development of a variety of strategies aimed at increasing immunogenicity of TAA polyepitope DNA-based vaccines. The polyepitope DNA-based cancer vaccine approach can (a) circumvent the variability of peptide presentation by tumor cells, (b) allow the introduction in the plasmid construct of multiple immunogenic epitopes including heteroclitic epitope versions, and (c) permit to enroll patients with different major histocompatibility complex (MHC) haplotypes. This review will discuss the rationale for using the TAA polyepitope DNA-based vaccination strategy and recent results corroborating the usefulness of DNA encoding polyepitope vaccines as a potential tool for cancer therapy.
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.