Evidence map›Paper›PMID 29385713›Full record

ArticleInternational journal of molecular sciences2018

Nanobody Based Dual Specific CARs.

Stijn De Munter, Joline Ingels, Glenn Goetgeluk, Sarah Bonte, Melissa Pille, Karin Weening, Tessa Kerre, Hinrich Abken, Bart Vandekerckhove

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% 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

80 citing papers in PubMed, 1 synthesis or guideline pooled it, 117 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Cationic mRNA Lipid Nanoparticles for Ex Vivo NanoCAR-T Cell Engineering.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Application of nanobody‑based CAR‑T in tumor immunotherapy (Review).International journal of molecular medicine · 2025
    Review
  11. Advances in Nanobody-Based Platforms for Precision Cancer Diagnosis and Therapy.Polymer science & technology (Washington, D.C.) · 2025
    Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. [Preparation of Trop2-Targeted CAR-T Cells Based on Nanobodies and Their Antitumor Effects Against Non-Small Cell Lung Cancer].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Article
  20. Article

20 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

9 authors at 3 institutions in 2 countries.

Stijn De MunterDepartment of Clinical Chemistry, Microbiology and Immunology, Ghent University, 9000 Ghent, Belgium. stijn.demunter@ugent.be.ORCID 0000-0003-3821-0620
Joline IngelsDepartment of Clinical Chemistry, Microbiology and Immunology, Ghent University, 9000 Ghent, Belgium. joline.ingels@ugent.be.
Glenn GoetgelukDepartment of Clinical Chemistry, Microbiology and Immunology, Ghent University, 9000 Ghent, Belgium. glenn.goetgeluk@ugent.be.
Sarah BonteDepartment of Clinical Chemistry, Microbiology and Immunology, Ghent University, 9000 Ghent, Belgium. sarahm.bonte@ugent.be.ORCID 0000-0002-0637-4893
Melissa PilleDepartment of Clinical Chemistry, Microbiology and Immunology, Ghent University, 9000 Ghent, Belgium. melissa.pille@ugent.be.
Karin WeeningDepartment of Clinical Chemistry, Microbiology and Immunology, Ghent University, 9000 Ghent, Belgium. karin.weening@ugent.be.
Tessa KerreDepartment of Clinical Chemistry, Microbiology and Immunology, Ghent University, 9000 Ghent, Belgium. tessa.kerre@ugent.be.
Hinrich AbkenCenter for Molecular Medicine Cologne (CMMC) and Departement of Internal Medicine, University of Cologne, 50923 Cologne, Germany. hinrich.abken@uk-koeln.de.
Bart VandekerckhoveDepartment of Clinical Chemistry, Microbiology and Immunology, Ghent University, 9000 Ghent, Belgium. bart.vandekerckhove@ugent.be.
Ghent University Hospital · BEGhent University · BEUniversity of Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent clinical trials have shown that adoptive chimeric antigen receptor (CAR) T cell therapy is a very potent and possibly curative option in the treatment of B cell leukemias and lymphomas. However, targeting a single antigen may not be sufficient, and relapse due to the emergence of antigen negative leukemic cells may occur. A potential strategy to counter the outgrowth of antigen escape variants is to broaden the specificity of the CAR by incorporation of multiple antigen recognition domains in tandem. As a proof of concept, we here describe a bispecific CAR in which the single chain variable fragment (scFv) is replaced by a tandem of two single-antibody domains or nanobodies (nanoCAR). High membrane nanoCAR expression levels are observed in retrovirally transduced T cells. NanoCARs specific for CD20 and HER2 induce T cell activation, cytokine production and tumor lysis upon incubation with transgenic Jurkat cells expressing either antigen or both antigens simultaneously. The use of nanobody technology allows for the production of compact CARs with dual specificity and predefined affinity.

Indexed as

Receptors, Antigen, T-CellRecombinant Fusion ProteinsSingle-Domain AntibodiesHumansJurkat CellsLeukemia, B-CellLymphoma, B-CellT-LymphocytesTransduction, GeneticReceptors, Antigen, T-CellRecombinant Fusion ProteinsSingle-Domain Antibodiesantigen escapeCAR T cellnanobody

Identifiers

PMID29385713
PMCPMC5855625
OpenAlexW2785484365

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.