Evidence map›Paper›PMID 26847636›Full record

ArticleInternational journal of oncology2016

PET imaging of epidermal growth factor receptor expression in tumours using 89Zr-labelled ZEGFR:2377 affibody molecules.

Javad Garousi, Ken G Andersson, Bogdan Mitran, Marie-Louise Pichl, Stefan Ståhl, Anna Orlova, John Löfblom, Vladimir Tolmachev

Open access · hybridAbstract read
In one paragraph

Article in International journal of oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

33 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Preclinical Evaluation ofInternational journal of radiation oncology, biology, physics · 2023
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Pancreatic Ductal Adenocarcinoma: The Dawn of the Era of Nuclear Medicine?International journal of molecular sciences · 2021
    Review
  11. PET and SPECT Imaging of the EGFR Family (RTK Class I) in Oncology.International journal of molecular sciences · 2021
    Review
  12. Article
  13. Review
  14. Cancers · 2021
    Article
  15. Synthesis of a novelEJNMMI research · 2020
    Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Synthesis and preclinical investigation ofMolecular biology reports · 2019
    Article
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 2 institutions in 1 country.

Javad GarousiInstitute of Immunology, Genetic and Pathology, Uppsala University, SE-75185 Uppsala, Sweden.
Ken G AnderssonDivision of Protein Technology, KTH Royal Institute of Technology, SE-10691 Stockholm, Sweden.
Bogdan MitranDivision of Molecular Imaging, Department of Medicinal Chemistry, Uppsala University, SE-751 83 Uppsala, Sweden.
Marie-Louise PichlInstitute of Immunology, Genetic and Pathology, Uppsala University, SE-75185 Uppsala, Sweden.
Stefan StåhlDivision of Protein Technology, KTH Royal Institute of Technology, SE-10691 Stockholm, Sweden.
Anna OrlovaDivision of Molecular Imaging, Department of Medicinal Chemistry, Uppsala University, SE-751 83 Uppsala, Sweden.
John LöfblomDivision of Protein Technology, KTH Royal Institute of Technology, SE-10691 Stockholm, Sweden.
Vladimir TolmachevInstitute of Immunology, Genetic and Pathology, Uppsala University, SE-75185 Uppsala, Sweden.
Uppsala University · SEKTH Royal Institute of Technology · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidermal growth factor receptor (EGFR) is a transmembrane tyrosine kinase receptor, which is overexpressed in many types of cancer. The use of EGFR-targeting monoclonal antibodies and tyrosine-kinase inhibitors improves significantly survival of patients with colorectal, non-small cell lung cancer and head and neck squamous cell carcinoma. Detection of EGFR overexpression provides important prognostic and predictive information influencing management of the patients. The use of radionuclide molecular imaging would enable non-invasive repeatable determination of EGFR expression in disseminated cancer. Moreover, positron emission tomography (PET) would provide superior sensitivity and quantitation accuracy in EGFR expression imaging. Affibody molecules are a new type of imaging probes, providing high contrast in molecular imaging. In the present study, an EGFR-binding affibody molecule (ZEGFR:2377) was site-specifically conjugated with a deferoxamine (DFO) chelator and labelled under mild conditions (room temperature and neutral pH) with a positron-emitting radionuclide (89)Zr. The (89)Zr-DFO-ZEGFR:2377 tracer demonstrated specific high affinity (160 ± 60 pM) binding to EGFR-expressing A431 epidermoid carcinoma cell line. In mice bearing A431 xenografts, (89)Zr-DFO-ZEGFR:2377 demonstrated specific uptake in tumours and EGFR-expressing tissues. The tracer provided tumour uptake of 2.6 ± 0.5% ID/g and tumour-to-blood ratio of 3.7 ± 0.6 at 24 h after injection. (89)Zr-DFO-ZEGFR:2377 provides higher tumour-to-organ ratios than anti-EGFR antibody (89)Zr-DFO-cetuximab at 48 h after injection. EGFR‑expressing tumours were clearly visualized by microPET using (89)Zr-DFO-ZEGFR:2377 at both 3 and 24 h after injection. In conclusion, 8(9)Zr-DFO-ZEGFR:2377 is a potential probe for PET imaging of EGFR-expression in vivo.

Indexed as

Molecular ImagingAnimalsAntibodies, MonoclonalCarcinoma, Non-Small-Cell LungCell Line, TumorErbB ReceptorsGene Expression Regulation, NeoplasticHumansMicePositron-Emission TomographyXenograft Model Antitumor AssaysZirconiumAntibodies, MonoclonalEGFR protein, humanErbB ReceptorsZirconium

Identifiers

PMID26847636
PMCPMC4777594
OpenAlexW2269299247

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.