Evidence map›Paper›PMID 22089857›Full record

ArticleCancer immunology, immunotherapy : CII2012

Remodeling of the epitope repertoire of a candidate idiotype vaccine by targeting to lysosomal degradation in dendritic cells.

Debora Martorelli, Giuseppe Coppotelli, Elena Muraro, Riccardo Dolcetti, Maria G Masucci

Open access · greenAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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

5 authors at 2 institutions in 2 countries.

Debora MartorelliCancer Bio-immunotherapy Unit, Centro di Riferimento Oncologico, National Cancer Institute, Aviano, Italy.
Giuseppe Coppotelli
Elena Muraro
Riccardo Dolcetti
Maria G Masucci
Centro di Riferimento Oncologico · ITKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The generation of efficacious vaccines against self-antigens expressed in tumor cells requires breakage of tolerance, and the refocusing of immune responses toward epitopes for which tolerance may not be established. While the presentation of tumor antigens by mature dendritic cells (mDC) may surpass tolerance, broadening of the antigenic repertoire remains an issue. We report that fusion of the candidate idiotype vaccine IGKV3-20 to the Gly-Ala repeat (GAr) of the Epstein-Barr virus nuclear antigen (EBNA)-1 inhibits degradation by the proteasome and redirects processing to the lysosome. mDCs transduced with a recombinant lentivirus encoding the chimeric idiotype efficiently primed CD4+ and CD8+ cytotoxic T-cell (CTL) responses that lysed autologous blasts expressing IGKV3-20 or pulsed with IGKV3-20 synthetic peptides, and HLA-matched IGKV3-20-positive tumor cell lines. Comparison of the cytotoxic response of CD4+ and CD8+ T lymphocytes activated by mDCs expressing the wild-type or chimeric IGKV3-20 reveled largely non-overlapping epitope repertoires in both CD4+ and CD8+ effectors. Thus, fusion to the GAr may provide an effective means to broaden the immune response to an endogenous protein by promoting the presentation of antigenic epitopes that require a lysosome-dependent processing step.

Indexed as

Cancer VaccinesCells, CulturedDendritic CellsEpitopesHEK293 CellsHumansImmunoglobulin IdiotypesLentivirusLysosomesT-Lymphocytes, CytotoxicCancer VaccinesEpitopesImmunoglobulin Idiotypes

Identifiers

PMID22089857
PMCPMC11028998
OpenAlexW1982108191

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.