Evidence map›Paper›PMID 33729092›Full record

ArticlemAbs

Immunogenicity risk assessment for biotherapeutics through in vitro detection of CD134 and CD137 on T helper cells.

Sivan Cohen, Srividya Myneni, Anna Batt, Joyce Guerrero, Jochen Brumm, Shan Chung

Open access · goldAbstract read
In one paragraph

Article in mAbs. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

25 citing papers in PubMed, 33 citations in OpenAlex.

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  9. Review
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  11. Review
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  13. Reducing Immunogenicity by Design: Approaches to Minimize Immunogenicity of Monoclonal Antibodies.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2024
    Review
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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

6 authors.

Sivan CohenDepartment of BioAnalytical Sciences, Genentech Inc, South San Francisco, CA, USA.
Srividya MyneniDepartment of BioAnalytical Sciences, Genentech Inc, South San Francisco, CA, USA.
Anna BattDepartment of BioAnalytical Sciences, Genentech Inc, South San Francisco, CA, USA.
Joyce GuerreroDepartment of BioAnalytical Sciences, Genentech Inc, South San Francisco, CA, USA.
Jochen BrummDepartment of Biostatistics, Genentech Inc, South San Francisco, CA, USA.ORCID 0000-0001-9518-038X
Shan ChungDepartment of BioAnalytical Sciences, Genentech Inc, South San Francisco, CA, USA.ORCID 0000-0002-5494-2103

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biotherapeutics, which are biologic medications that are natural or bioengineered products of living cells, have revolutionized the treatment of many diseases. However, unwanted immune responses still present a major challenge to their widespread adoption. Many patients treated with biotherapeutics develop antigen-specific anti-drug antibodies (ADAs) that may reduce the efficacy of the therapy or cross-react with the endogenous counterpart of a protein therapeutic, or both. Here, we describe an

Indexed as

Toxicity TestsAntibodies, MonoclonalAntibody FormationBiological ProductsBiomarkersCells, CulturedCross ReactionsFlow CytometryHigh-Throughput Screening AssaysHumansLymphocyte ActivationReceptors, OX40Risk AssessmentT-Lymphocytes, Helper-InducerTumor Necrosis Factor Receptor Superfamily, Member 9Up-RegulationAntibodies, MonoclonalBiological ProductsBiomarkersReceptors, OX40TNFRSF4 protein, humanTNFRSF9 protein, humanTumor Necrosis Factor Receptor Superfamily, Member 9anti-drug antibodiesbiotherapeuticsCD134CD137HLA II typeImmunogenicityPMBCT cell activationT cell epitopes

Identifiers

PMID33729092
PMCPMC7993230
OpenAlexW3136945858

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.