Evidence map›Paper›PMID 39304998›Full record

ArticlemAbs

Discovery of potent allosteric antibodies inhibiting EGFR.

Léxane Fournier, Lukas Pekar, Birgitta Leuthner, Harald Kolmar, Lars Toleikis, Stefan Becker

Abstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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.

  1. Review
  2. Review
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.

Léxane FournierEarly Protein Supply and Characterization, Merck Healthcare KGaA, Darmstadt, Germany.
Lukas PekarAntibody Discovery and Protein Engineering, Merck Healthcare KGaA, Darmstadt, Germany.
Birgitta LeuthnerDiscovery Pharmacology, Merck Healthcare KGaA, Darmstadt, Germany.
Harald KolmarInstitute for Organic Chemistry and Biochemistry, Technical University of Darmstadt, Darmstadt, Germany.
Lars ToleikisEarly Protein Supply and Characterization, Merck Healthcare KGaA, Darmstadt, Germany.
Stefan BeckerEarly Protein Supply and Characterization, Merck Healthcare KGaA, Darmstadt, Germany.

Funding

European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement NO 956314 (ALLODD)
6 · The paper itself

Abstract

In this work, we report the discovery of potent anti-epidermal growth factor receptor (EGFR) allosteric heavy-chain antibodies by combining camelid immunization and fluorescence-activated cell sorting (FACS). After immunization and yeast surface display library construction, allosteric clones were obtained by introducing the labeled EGF Fc fusion protein as an additional criterion for FACS. This sorting method enabled the identification of 11 heavy-chain antibodies that did not compete with the orthosteric ligand EGF for the binding to EGFR. These antibodies bind to a triple-negative breast cancer cell line expressing EGFR with affinities in the picomolar to nanomolar range. Those camelid-derived antibodies also exhibit interesting properties by modulating EGFR affinity for EGF. Moreover, they are also able to inhibit EGF-induced downstream signaling pathways. In particular, we identified one clone that is more potent than the approved blocking antibody cetuximab in inhibiting both PI3K/AKT and MAPK/ERK pathways. Our results suggest that allosteric antibodies may be potential new modalities for therapeutics.

Indexed as

ErbB ReceptorsAllosteric RegulationAnimalsAntibodies, MonoclonalCamelids, New WorldCell Line, TumorCetuximabFlow CytometryHumansImmunoglobulin Heavy ChainsSignal TransductionTriple Negative Breast NeoplasmsAntibodies, MonoclonalCetuximabEGFR protein, humanErbB ReceptorsImmunoglobulin Heavy ChainsAllosteryantibody discoverycancer therapyEGFRheavy-chain antibodytriple-negative breast cancer

Identifiers

PMID39304998
PMCPMC11418213

What OpenQuestion holds

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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.