Evidence map›Paper›PMID 16408213›Full record

ArticleCancer immunology, immunotherapy : CII2006

The use of reverse immunology to identify HLA-A2 binding epitopes in Tie-2.

Judith M Ramage, Ian Spendlove, Robert Rees, Robert S Moss, Lindy G Durrant

Open access · greenAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Judith M RamageAcademic unit of Clinical Oncology, Nottingham University, Hucknall Road, City Hospital, NG5 1PB, Nottingham, UK. judith.ramage@nottingham.ac.uk
Ian Spendlove
Robert Rees
Robert S Moss
Lindy G Durrant
Nottingham City Hospital · GBUniversity of Nottingham · GBNottingham Trent University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A potential target for a cancer vaccine would be receptors, such as Tie-2 which are over expressed on tumour endothelium. Using computer aided motif predictions for possible HLA class I epitopes, we have identified peptides from Tie-2 that should bind with a range of affinities to HLA-A*0201. No direct correlation between predicted values and actual binding affinities was observed. Although, the programs did produce a number of false positives, two epitopes were predicted that bound with relatively high affinity when compared with an influenza peptide. We have previously identified a Tie-2 epitope and shown that it was only immunogenic when we substituted preferred amino acids at key anchor residues to increase binding affinity. In this study we used a similar approach to generate modified epitopes. When HLA-A2 transgenic mice were immunised with peptides, CTL killing of the target cells was only achieved when the wild type epitope was presented at moderate levels. Moreover, the efficiency of immunisation was increased when we linked CD4 epitopes to CD8 epitopes. Caution should therefore be employed in the use of both reverse immunology and anchor modification of CTL epitopes in the identification of CTL epitopes for cancer vaccines.

Indexed as

Immunologic TechniquesAlgorithmsAnimalsAntigens, NeoplasmBase SequenceBinding SitesEpitopes, T-LymphocyteHLA-A2 AntigenMiceMice, TransgenicMolecular Sequence DataReceptor, TIE-2T-Lymphocytes, CytotoxicAntigens, NeoplasmEpitopes, T-LymphocyteHLA-A2 AntigenReceptor, TIE-2

Identifiers

PMID16408213
PMCPMC11029822
OpenAlexW2073387941

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.