Evidence map›Paper›PMID 33155272›Full record

ReviewClinical and experimental immunology2021

Isotype selection for antibody-based cancer therapy.

N Vukovic, A van Elsas, J S Verbeek, D M W Zaiss

Open access · hybridAbstract readReview
In one paragraph

Review in Clinical and experimental immunology, 2021. 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
1.2field-weighted citation impact, top 17% 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, 20 citations in OpenAlex.

  1. Article
  2. Protein engineering: status report.Protein engineering, design & selection : PEDS · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. DOTAD: A Database of Therapeutic Antibody Developability.Interdisciplinary sciences, computational life sciences · 2024
    Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
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

4 authors at 2 institutions in 2 countries.

N VukovicInstitute of Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, Ashworth Laboratories, Edinburgh, UK.ORCID 0000-0002-9083-2104
A van ElsasAduro Biotech Europe, Oss, the Netherlands.
J S VerbeekDepartment of Biomedical Engineering, Toin University of Yokohama, Yokohama, Japan.
D M W ZaissInstitute of Immunology and Infection Research, School of Biological Sciences, University of Edinburgh, Ashworth Laboratories, Edinburgh, UK.ORCID 0000-0003-3596-7062
University of Edinburgh · GBToin University of Yokohama · JP

Funding

European Commission Marie Skłodowska-Curie grant agreement No 765394.
6 · The paper itself

Abstract

The clinical application of monoclonal antibodies (mAbs) has revolutionized the field of cancer therapy, as it has enabled the successful treatment of previously untreatable types of cancer. Different mechanisms play a role in the anti-tumour effect of mAbs. These include blocking of tumour-specific growth factor receptors or of immune modulatory molecules as well as complement and cell-mediated tumour cell lysis. Thus, for many mAbs, Fc-mediated effector functions critically contribute to the efficacy of treatment. As immunoglobulin (Ig) isotypes differ in their ability to bind to Fc receptors on immune cells as well as in their ability to activate complement, they differ in the immune responses they activate. Therefore, the choice of antibody isotype for therapeutic mAbs is dictated by its intended mechanism of action. Considering that clinical efficacy of many mAbs is currently achieved only in subsets of patients, optimal isotype selection and Fc optimization during antibody development may represent an important step towards improved patient outcome. Here, we discuss the current knowledge of the therapeutic effector functions of different isotypes and Fc-engineering strategies to improve mAbs application.

Indexed as

Antibodies, MonoclonalCytotoxicity, ImmunologicHumansImmunoglobulin AImmunoglobulin DImmunoglobulin EImmunoglobulin GImmunoglobulin IsotypesImmunoglobulin MNeoplasmsAntibodies, MonoclonalImmunoglobulin AImmunoglobulin DImmunoglobulin EImmunoglobulin GImmunoglobulin IsotypesImmunoglobulin Mcancereffector functionsFc tailisotypemAbs

Identifiers

PMID33155272
PMCPMC7874837
OpenAlexW3097745544

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.