Evidence map›Paper›PMID 40427162›Full record

ReviewCancers2025

Petosemtamab, a Bispecific Antibody Targeting Epidermal Growth Factor Receptor (EGFR) and Leucine-Rich G Repeat-Containing Protein-Coupled Receptor (LGR5) Designed for Broad Clinical Applications.

Ante S Lundberg, Cecile A W Geuijen, Sally Hill, Jeroen J Lammerts van Bueren, Arianna Fumagalli, John de Kruif, Peter B Silverman, Josep Tabernero

Abstract readReview
In one paragraph

Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. 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

8 authors.

Ante S LundbergMerus NV, 3584 CT Utrecht, The Netherlands.
Cecile A W GeuijenMerus NV, 3584 CT Utrecht, The Netherlands.
Sally HillMerus NV, 3584 CT Utrecht, The Netherlands.ORCID 0009-0006-6262-6246
Jeroen J Lammerts van BuerenMerus NV, 3584 CT Utrecht, The Netherlands.
Arianna FumagalliMerus NV, 3584 CT Utrecht, The Netherlands.ORCID 0000-0002-3483-8026
John de KruifMerus NV, 3584 CT Utrecht, The Netherlands.
Peter B SilvermanMerus NV, 3584 CT Utrecht, The Netherlands.
Josep TaberneroVall d'Hebron Institute of Oncology (VHIO), Universitat de Vic/Central de Catalunya (UVic-UCC), 08035 Barcelona, Spain.ORCID 0000-0002-2495-8139

Funding

European Union FP7-HEALTH-2013-INNOVATION-2, SUPPRESSTEM, grant agreement no. 601876
6 · The paper itself

Abstract

Disease progression and treatment resistance in colorectal and other cancers are driven by a subset of cells within the tumor that have stem-cell-like properties and long-term tumorigenic potential. These stem-cell-like cells express the leucine-rich G repeat-containing protein-coupled receptor 5 (LGR5) and have characteristics similar to tissue-resident stem cells in normal adult tissues such as the colon. Organoid models of murine and human colorectal and other cancers contain LGR5-expressing (LGR5+) stem-cell-like cells and can be used to investigate the underlying mechanisms of cancer development, progression, therapy vulnerability, and resistance. A large biobank of organoids derived from colorectal cancer or adjacent normal tissue was developed. We performed a large-scale unbiased functional screen to identify bispecific antibodies (BsAbs) that preferentially inhibit the growth of colon tumor-derived, as compared to normal tissue-derived, organoids. We identified the most potent BsAb in the screen as petosemtamab, a Biclonics

Indexed as

bispecific antibodycancer biologycancer stem cellcolorectal cancerEGFR proteinhead and neck cancerLGR5 proteinpetosemtamab

Identifiers

PMID40427162
PMCPMC12110399

What OpenQuestion holds

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Registered trials

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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.