Evidence map›Paper›PMID 32134960›Full record

ArticlePloS one2020

Assessing the binding properties of the anti-PD-1 antibody landscape using label-free biosensors.

Michael E Brown, Daniel Bedinger, Asparouh Lilov, Palaniswami Rathanaswami, Maximiliano Vásquez, Stéphanie Durand, Ian Wallace-Moyer, Lihui Zhong, Juergen H Nett, Irina Burnina and 7 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Anti-PD-(L)1 Antibodies: Insights From QSP-Based Meta-Analysis.CPT: pharmacometrics & systems pharmacology · 2026
    Pooled it
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  10. Analytical Method for Experimental Validation of Computer-Designed Antibody.Methods in molecular biology (Clifton, N.J.) · 2023
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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

17 authors at 3 institutions in 2 countries.

Michael E BrownDepartment of Protein Analytics, Adimab, Lebanon, NH, United States of America.ORCID 0000-0003-3292-2117
Daniel BedingerCarterra, Salt Lake City, UT, United States of America.ORCID 0000-0001-5009-9369
Asparouh LilovDepartment of Protein Analytics, Adimab, Lebanon, NH, United States of America.
Palaniswami RathanaswamiDepartment of Therapeutic Discovery, Amgen Research, Amgen Inc., Burnaby, BC, Canada.
Maximiliano VásquezDepartment of Computational Biology, Adimab, Palo Alto, CA, United States of America.
Stéphanie DurandDepartment of High Throughput Expression, Adimab, Lebanon, NH, United States of America.
Ian Wallace-MoyerDepartment of High Throughput Expression, Adimab, Lebanon, NH, United States of America.
Lihui ZhongDepartment of High Throughput Expression, Adimab, Lebanon, NH, United States of America.
Juergen H NettDepartment of High Throughput Expression, Adimab, Lebanon, NH, United States of America.
Irina BurninaDepartment of Protein Analytics, Adimab, Lebanon, NH, United States of America.
Isabelle CaffryDepartment of Protein Analytics, Adimab, Lebanon, NH, United States of America.
Heather LynaughDepartment of Protein Analytics, Adimab, Lebanon, NH, United States of America.
Melanie SinclairDepartment of Protein Analytics, Adimab, Lebanon, NH, United States of America.
Tingwan SunDepartment of Protein Analytics, Adimab, Lebanon, NH, United States of America.
John BukowskiDepartment of Antibody Discovery, Adimab, Lebanon, NH, United States of America.
Yingda XuDepartment of Protein Analytics, Adimab, Lebanon, NH, United States of America.
Yasmina Noubia AbdicheCarterra, Salt Lake City, UT, United States of America.
Adimab (United States) · USCarterra (United States) · USAmgen (Canada) · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we describe an industry-wide collaboration aimed at assessing the binding properties of a comprehensive panel of monoclonal antibodies (mAbs) against programmed cell death protein 1 (PD-1), an important checkpoint protein in cancer immunotherapy and validated therapeutic target, with well over thirty unique mAbs either in clinical development or market-approved in the United States, the European Union or China. The binding kinetics of the PD-1/mAb interactions were measured by surface plasmon resonance (SPR) using a Carterra LSA instrument and the results were compared to data collected on a Biacore 8K. The effect of chip type on the SPR-derived binding rate constants and affinities were explored and the results compared with solution affinities from Meso Scale Discovery (MSD) and Kinetic Exclusion Assay (KinExA) experiments. When using flat chip types, the LSA and 8K platforms yielded near-identical kinetic rate and affinity constants that matched solution phase values more closely than those produced on 3D-hydrogels. Of the anti-PD-1 mAbs tested, which included a portion of those known to be in clinical development or approved, the affinities spanned from single digit picomolar to nearly 425 nM, challenging the dynamic range of our methods. The LSA instrument was also used to perform epitope binning and ligand competition studies which revealed over ten unique competitive binding profiles within this group of mAbs.

Indexed as

Antibodies, MonoclonalBiosensing TechniquesChinaDrug DevelopmentEpitopesEuropean UnionHigh-Throughput Screening AssaysHumansProgrammed Cell Death 1 ReceptorProtein BindingSurface Plasmon ResonanceUnited StatesAntibodies, MonoclonalEpitopesPDCD1 protein, humanProgrammed Cell Death 1 Receptor

Identifiers

PMID32134960
PMCPMC7058304
OpenAlexW3009943258

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.