Evidence map›Paper›PMID 28986820›Full record

ReviewProtein & cell2018

IgG Fc engineering to modulate antibody effector functions.

Xinhua Wang, Mary Mathieu, Randall J Brezski

Abstract readReview
In one paragraph

Review in Protein & cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 230 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
230citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

230 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Fc-engineering for improved cancer immunotherapy.Biochemical Society transactions · 2026
    Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Polypharmacology of S-1117, an Fc-fused IgG-selective degrading enzyme, for chronic treatment of autoantibody-mediated diseases.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  17. Article
  18. Review
  19. Review
  20. Article

170 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

3 authors.

Xinhua WangGenentech, Antibody Engineering, South San Francisco, CA, 94080, USA.
Mary MathieuGenentech, Antibody Engineering, South San Francisco, CA, 94080, USA.
Randall J BrezskiGenentech, Antibody Engineering, South San Francisco, CA, 94080, USA. brezski.randall@gene.com.ORCID 0000-0003-4028-4741

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic monoclonal antibodies are among the most effective biotherapeutics to date. An important aspect of antibodies is their ability to bind antigen while at the same time recruit immune effector functions. The majority of approved recombinant monoclonal antibody therapies are of the human IgG1 subclass, which can engage both humoral and cellular components of the immune system. The wealth of information generated about antibodies has afforded investigators the ability to molecularly engineer antibodies to modulate effector functions. Here, we review various antibody engineering efforts intended to improve efficacy and safety relative to the human IgG isotype. Further, we will discuss proposed mechanisms by which engineering approaches led to modified interactions with immune components and provide examples of clinical studies using next generation antibodies.

Indexed as

AnimalsAntibodies, MonoclonalAntigensComplement System ProteinsHumansImmunoglobulin GProtein EngineeringReceptors, FcAntibodies, MonoclonalAntigensComplement System ProteinsImmunoglobulin GReceptors, Fcantibody-dependent cell-mediated cytotoxicityantibody-dependent cellular phagocytosiscomplement-dependent cytotoxicityFc engineeringFc gamma receptormonoclonal antibodyneonatal Fc receptor

Identifiers

PMID28986820
PMCPMC5777978

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.