Evidence map›Paper›PMID 22053971›Full record

ReviewInternational reviews of immunology

Expanding the targets available to therapeutic antibodies via novel disease-specific markers.

Jon A Weidanz, William H Hildebrand

Abstract readReview
In one paragraph

Review in International reviews of immunology. 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
0.4field-weighted citation impact, top 39% 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, 8 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

2 authors at 2 institutions in 1 country.

Jon A WeidanzCenter for Immunotherapeutic Research and Department of Biomedical Sciences, School of Pharmacy, Texas Tech University Health Sciences Center, Abilene, TX, USA.
William H Hildebrand
Texas Tech University · USUniversity of Oklahoma Health Sciences Center · US

Funding

Discovery and Targeting of HIV-1 Associated AntigensR01AI090672 · NIAID · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI HILDEBRAND, WILLIAM · 2010 to 2013
$2.0M
NIAID NIH HHS R01 AI090672
6 · The paper itself

Abstract

The development of immunotherapies offers significant promise for clinical applications in cancer and infectious diseases. Here the authors describe a novel, integrated approach to immunotherapy that combines novel technologies to discover and target disease-specific peptide/HLA class I complexes. This unique class of markers makes the entire proteome accessible to antibody reagents and offers unsurpassed specificity for targeting cancerous and infected cells. Arm one of the three-armed approach uses an innovative technology for the efficient, direct discovery of new peptide/HLA class I markers. Arm two applies a powerful and inventive strategy to generate T-cell receptor mimics (TCRms), which are antibodies with exquisite binding specificity for peptide/HLA class I markers, and uses TCRms to validate the specific expression of markers on cancerous and infected cells. The third arm uses TCRms to target and kill diseased cells with high sensitivity and specificity. In summary, the combination of two pioneering technologies expands the repertoire of disease-specific markers that can be targeted by therapeutic antibodies and enables a powerful, integrated approach to HLA-based immunotherapy.

Indexed as

Antibodies, MonoclonalAntibody SpecificityCell Line, TumorHistocompatibility Antigens Class IHumansImmunotherapyMolecular MimicryNeoplasmsPeptidesReceptors, Antigen, T-CellAntibodies, MonoclonalHistocompatibility Antigens Class IPeptidesReceptors, Antigen, T-Cell

Identifiers

PMID22053971
PMCPMC3405914
OpenAlexW2053102662

What OpenQuestion holds

Textmetadata
LicenceTDM
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.