Evidence map›Paper›PMID 19022315›Full record

ArticleVaccine2009

Induction of antitumor immunity in vivo following delivery of a novel HPV-16 DNA vaccine encoding an E6/E7 fusion antigen.

Jian Yan, Dawn K Reichenbach, Natasha Corbitt, David A Hokey, Mathura P Ramanathan, Kibwei A McKinney, David B Weiner, Duane Sewell

Abstract read
In one paragraph

Article in Vaccine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jian YanDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Dawn K Reichenbach
Natasha Corbitt
David A Hokey
Mathura P Ramanathan
Kibwei A McKinney
David B Weiner
Duane Sewell

Funding

T Cell Functionality After DNA and Adjuvant VaccinationP01AI071739 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI MARX, PRESTON A · 2007 to 2013
$10.1M
Cancer Immunotherapy for Head and Neck TumorsK08CA097218 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SEWELL, DUANE A · 2002 to 2007
$678k
NCI NIH HHS K08 CA097218NIAID NIH HHS P01 AI071739
6 · The paper itself

Abstract

Human papillomavirus type 16 (HPV-16) infection is associated with a majority of cervical cancers and a significant proportion of head and neck cancers. Here, we describe a novel-engineered DNA vaccine that encodes a HPV-16 consensus E6/E7 fusion gene (pConE6E7) with the goal of increasing its antitumor cellular immunity. Compared to an early stage HPV-16 E7 DNA vaccine (pE7), this construct was up to five times more potent in driving E7-specific cellular immune responses. Prophylactic administration of this vaccine resulted in 100% protection against HPV E6 and E7-expressing tumors. Therapeutic studies indicated that vaccination with pConE6E7 prevented or delayed the growth of tumors. Moreover, immunization with pConE6E7 could also partially overcome immune tolerance in E6/E7 transgenic mice. Such DNA immunogens are interesting candidates for further study to investigate mechanisms of tumor immune rejection in vivo.

Indexed as

Amino Acid SequenceAnimalsAntigens, ViralBase SequenceDNA, ViralFemaleHuman papillomavirus 16MiceMice, Inbred C57BLMice, TransgenicMolecular Sequence DataNeoplasmsOncogene Proteins, ViralPapillomavirus E7 ProteinsPapillomavirus VaccinesRecombinant Fusion ProteinsAntigens, ViralDNA, ViralE6 protein, Human papillomavirus type 16oncogene protein E7, Human papillomavirus type 16Oncogene Proteins, ViralPapillomavirus E7 ProteinsPapillomavirus VaccinesRecombinant Fusion ProteinsRepressor ProteinsVaccines, DNA

Identifiers

PMID19022315
PMCPMC4477831

What OpenQuestion holds

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Registered trials

None linked

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.