Evidence map›Paper›PMID 30679757›Full record

ArticleScientific reports2019

Optimization of HER3 expression imaging using affibody molecules: Influence of chelator for labeling with indium-111.

Sara S Rinne, Charles Dahlsson Leitao, Bogdan Mitran, Tarek Z Bass, Ken G Andersson, Vladimir Tolmachev, Stefan Ståhl, John Löfblom, Anna Orlova

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. New Radiopharmaceutical Tracers in Breast Cancer Diagnosis and Therapy.Anti-cancer agents in medicinal chemistry · 2025
    Review
  4. Review
  5. Article
  6. Review
  7. HER3 PET Imaging:Cancers · 2021
    Article
  8. PET and SPECT Imaging of the EGFR Family (RTK Class I) in Oncology.International journal of molecular sciences · 2021
    Review
  9. Immune Checkpoint Imaging in Oncology: A Game Changer Toward Personalized Immunotherapy?Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. Increase in negative charge ofScientific reports · 2019
    Article
  14. Article
  15. 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

9 authors at 2 institutions in 1 country.

Sara S RinneDepartment of Medicinal Chemistry, Uppsala University, Uppsala, Sweden.
Charles Dahlsson LeitaoDepartment of Protein Science, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.
Bogdan MitranDepartment of Medicinal Chemistry, Uppsala University, Uppsala, Sweden.
Tarek Z BassDepartment of Protein Science, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0003-1598-8894
Ken G AnderssonDepartment of Protein Science, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.
Vladimir TolmachevDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-6122-1734
Stefan StåhlDepartment of Protein Science, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.
John LöfblomDepartment of Protein Science, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0001-9423-0541
Anna OrlovaDepartment of Medicinal Chemistry, Uppsala University, Uppsala, Sweden. anna.orlova@ilk.uu.se.ORCID 0000-0001-6120-2683
KTH Royal Institute of Technology · SEUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radionuclide molecular imaging of human epidermal growth factor receptor 3 (HER3) expression using affibody molecules could be used for patient stratification for HER3-targeted cancer therapeutics. We hypothesized that the properties of HER3-targeting affibody molecules might be improved through modification of the radiometal-chelator complex. Macrocyclic chelators NOTA (1,4,7-triazacyclononane-N,N',N''-triacetic acid), NODAGA (1-(1,3-carboxypropyl)-4,7-carboxymethyl-1,4,7-triazacyclononane), DOTA (1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid), and DOTAGA (1,4,7,10-tetraazacyclododececane,1-(glutaric acid)-4,7,10-triacetic acid) were conjugated to the C-terminus of anti-HER3 affibody molecule Z

Indexed as

Gene Expression RegulationIndium RadioisotopesSingle Photon Emission Computed Tomography Computed TomographyAnimalsCell Line, TumorChelating AgentsHumansIsotope LabelingMiceReceptor, ErbB-3Recombinant ProteinsTissue DistributionChelating AgentsERBB3 protein, humanIndium-111Indium RadioisotopesReceptor, ErbB-3Recombinant Proteins

Identifiers

PMID30679757
PMCPMC6345776
OpenAlexW2921784083

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.