ArticleCancer gene therapy2004
DNA vaccines against the human papillomavirus type 16 E6 or E7 oncoproteins.
Article in Cancer gene therapy, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 33 citations in OpenAlex.
- Heterologous Antigen Regimen and Bicistronic DNA Vaccination Targeting HPV16 E5 and E7 Oncoproteins: Immunoinformatics and Preclinical Antitumor Efficacy.Molecules (Basel, Switzerland) · 2026Article
- New mouse model based on adenocarcinoma 4T1 cells expressing HPV16 E6 and E7 applied to assess the efficacy of therapeutic and prophylactic E6/E7-based HPV16 vaccines.Infectious agents and cancer · 2025Article
- The full transcription map of cottontail rabbit papillomavirus in tumor tissues.PLoS pathogens · 2024Article
- Immunotherapy for HPV Malignancies.Seminars in radiation oncology · 2021Review
- Current state in the development of candidate therapeutic HPV vaccines.Expert review of vaccines · 2016Review
- A prime/boost strategy using DNA/fowlpox recombinants expressing the genetically attenuated E6 protein as a putative vaccine against HPV-16-associated cancers.Journal of translational medicine · 2015Article
- Therapeutic HPV DNA vaccines.Immunologic research · 2010Review
- Immunotherapy for cervical cancer: Research status and clinical potential.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2010Review
- Perspectives for preventive and therapeutic HPV vaccines.Journal of the Formosan Medical Association = Taiwan yi zhi · 2010Review
- Antigen-specific immunotherapy of cervical and ovarian cancer.Immunological reviews · 2008Review
- Therapeutic human papillomavirus vaccines: current clinical trials and future directions.Expert opinion on biological therapy · 2008Review
- Modulation of the immune response to the severe acute respiratory syndrome spike glycoprotein by gene-based and inactivated virus immunization.Journal of virology · 2005Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA vaccines expressing the E6 or E7 oncoproteins of human papilloma virus type 16 (HPV-16) in either their wild-type form or fused to sequences that affect intracellular trafficking were tested for induction of protective immunity against tumor cell challenge in two models based on BALB/c and C57Bl/6 mice. The DNA vaccines to E7 gave uniformly disappointing results, while the DNA vaccine that expressed E6 linked to a viral leader sequence protected BALB/c mice against tumor cell challenge given before or after vaccination. The efficacy of this vaccine could be enhanced by a DNA vector prime/viral vector boost regimen. In contrast, priming of mice with the DNA vaccines to E7 reduced the efficacy of a viral vector expressing the same antigen.
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.