Evidence map›Paper›PMID 16738850›Full record

ArticleCancer immunology, immunotherapy : CII2007

Efficient inhibition of EGFR signaling and of tumour growth by antagonistic anti-EFGR Nanobodies.

Rob C Roovers, Toon Laeremans, Lieven Huang, Severine De Taeye, Arie J Verkleij, Hilde Revets, Hans J de Haard, Paul M P van Bergen en Henegouwen

Open access · greenAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed
10.6field-weighted citation impact, top 1% 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

137 citing papers in PubMed, 339 citations in OpenAlex.

  1. Article
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  13. Analysis of EGFR binding hotspots for design of new EGFR inhibitory biologics.Protein science : a publication of the Protein Society · 2024
    Review
  14. Structural insights into the role and targeting of EGFRvIII.Structure (London, England : 1993) · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Construction of IgG-FabScientific reports · 2023
    Article
  19. NANOBODYInternational journal of molecular sciences · 2023
    Review
  20. Article

77 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 2 countries.

Rob C RooversDepartment of Molecular Cell Biology, Institute of Biomembranes, Utrecht University, Padualaan 8, CH-3584 Utrecht, The Netherlands.
Toon Laeremans
Lieven Huang
Severine De Taeye
Arie J Verkleij
Hilde Revets
Hans J de Haard
Paul M P van Bergen en Henegouwen
Ablynx (Belgium) · BEUtrecht University · NLVlaams Instituut voor Biotechnologie · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of a number of different solid tumours is associated with over-expression of ErbB1, or the epidermal growth factor receptor (EGFR), and this over-expression is often correlated with poor prognosis of patients. Therefore, this receptor tyrosine kinase is considered to be an attractive target for antibody-based therapy. Indeed, antibodies to the EGFR have already proven their value for the treatment of several solid tumours, especially in combination with chemotherapeutic treatment regimens. Variable domains of camelid heavy chain-only antibodies (called Nanobodies) have superior properties compared with classical antibodies in that they are small, very stable, easy to produce in large quantities and easy to re-format into multi-valent or multi-specific proteins. Furthermore, they can specifically be selected for a desired function by phage antibody display. In this report, we describe the successful selection and the characterisation of antagonistic anti-EGFR Nanobodies. By using a functional selection strategy, Nanobodies that specifically competed for EGF binding to the EGFR were isolated from "immune" phage Nanobody repertoires. The selected antibody fragments were found to efficiently inhibit EGF binding to the EGFR without acting as receptor agonists themselves. In addition, they blocked EGF-mediated signalling and EGF-induced cell proliferation. In an in vivo murine xenograft model, the Nanobodies were effective in delaying the outgrowth of A431-derived solid tumours. This is the first report describing the successful use of untagged Nanobodies for the in vivo treatment of solid tumours. The results show that functional phage antibody selection, coupled to the rational design of Nanobodies, permits the rapid development of novel anti-cancer antibody-based therapeutics.

Indexed as

AnimalsAntibodiesAntibody FormationAntibody SpecificityCamelids, New WorldCell Line, TumorCell ProliferationDose-Response Relationship, ImmunologicEnzyme-Linked Immunosorbent AssayErbB ReceptorsFemaleHumansImmunoglobulin Heavy ChainsLigandsMiceMice, NudeAntibodiesErbB ReceptorsImmunoglobulin Heavy ChainsLigands

Identifiers

PMID16738850
PMCPMC11030579
OpenAlexW2030205190

What OpenQuestion holds

Textmetadata
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.