Evidence map›Paper›PMID 19726497›Full record

ArticleJournal of virology2009

Induction of therapeutic antibodies by vaccination against external loops of tumor-associated viral latent membrane protein.

Catherine Delbende, Claudie Verwaerde, Alexandra Mougel, Denis Tranchand Bunel

Open access · greenAbstract read
In one paragraph

Article in Journal of virology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 33% of its field
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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
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  5. Review
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

4 authors at 2 institutions in 1 country.

Catherine DelbendeNeuroimmunity Laboratory, SN3, Lille1 University, 59655 Villeneuve d'Ascq, France.
Claudie Verwaerde
Alexandra Mougel
Denis Tranchand Bunel
Centre National de la Recherche Scientifique · FRUniversité de Lille · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Some human herpesviruses (HHV) are etiological contributors to a wide range of malignant diseases. These HHV express latent membrane proteins (LMPs), which are type III membrane proteins consistently exposed at the cell surface in these malignancies. These LMPs have relatively large cytoplasmic domains but only short extracellular loops connecting transmembrane segments that are accessible at the surface of infected cells, but they do not elicit antibodies in the course of natural infection and tumorigenesis. We report here that conformational peptides mimicking two adjacent loops of the Epstein-Barr virus (EBV) LMP1 (2LS peptides) induce high-affinity antibodies with remarkable antitumor activities in mice. In active immunization experiments, LMP1-targeting 2LS vaccine conferred tumor protection in BALB/c mice. Moreover, this tumor protection is dependent upon a humoral anti-2LS immune response as demonstrated in DO11.10 (TCR-OVA) mice challenged with LMP1-expressing tumor and in SCID mice xenografted with human EBV-positive lymphoma cells. These data provide a proof of concept for 2LS immunization against short external loops of viral LMPs. This approach might possibly be extended to other infectious agents expressing type III membrane proteins.

Indexed as

AnimalsAntibodies, ViralCell LineCell Line, TumorEpstein-Barr Virus InfectionsFemaleHerpesvirus 4, HumanHerpesvirus VaccinesHumansMiceMice, Inbred BALB CVaccinationViral Matrix ProteinsAntibodies, ViralEBV-associated membrane antigen, Epstein-Barr virusHerpesvirus VaccinesViral Matrix Proteins

Identifiers

PMID19726497
PMCPMC2772700
OpenAlexW2170845220

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.