Evidence map›Paper›PMID 30863404›Full record

ReviewFrontiers in immunology2019

FcγR-Binding Is an Important Functional Attribute for Immune Checkpoint Antibodies in Cancer Immunotherapy.

Xin Chen, Xiaomin Song, Kang Li, Tong Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed, 2 pooled it
14.3field-weighted citation impact, top 1% 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

137 citing papers in PubMed, 2 syntheses or guidelines pooled it, 170 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
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  6. Lymph node fine-tuning FcγR signaling boosts anti-PD-1 therapy.Journal for immunotherapy of cancer · 2026
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  13. Next-generation anti-DLL3 radiopharmaceuticals targeting high-grade neuroendocrine lung and prostate cancers.Proceedings of the National Academy of Sciences of the United States of America · 2026
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77 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

4 authors at 1 institution in 1 country.

Xin ChenBeiGene (Beijing) Co., Ltd., Beijing, China.
Xiaomin SongBeiGene (Beijing) Co., Ltd., Beijing, China.
Kang LiBeiGene (Beijing) Co., Ltd., Beijing, China.
Tong ZhangBeiGene (Beijing) Co., Ltd., Beijing, China.
BeiGene (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T cells play critical roles in anti-tumor immunity. Up-regulation of immune checkpoint molecules (PD-1, PD-L1, CTLA-4, TIM-3, Lag-3, TIGIT, CD73, VISTA, B7-H3) in the tumor microenvironment is an important mechanism that restrains effector T cells from the anti-tumor activity. To date, immune checkpoint antibodies have demonstrated significant clinical benefits for cancer patients treated with mono- or combination immunotherapies. However, many tumors do not respond to the treatment well, and merely blocking the immune suppression pathways by checkpoint-regulatory antibodies may not render optimal tumor growth inhibition. Binding of the antibody Fc-hinge region to Fc gamma receptors (FcγRs) has been shown to exert a profound impact on antibody function and

Indexed as

Antibodies, MonoclonalB7-H1 AntigenCTLA-4 AntigenHumansImmunotherapyNeoplasmsProgrammed Cell Death 1 ReceptorProtein BindingReceptors, IgGT-LymphocytesAntibodies, MonoclonalB7-H1 AntigenCD274 protein, humanCTLA-4 AntigenCTLA4 protein, humanProgrammed Cell Death 1 ReceptorReceptors, IgGantibody therapycancer immunotherapycheckpoint blockadeFcγRIgG isotype

Identifiers

PMID30863404
PMCPMC6399403
OpenAlexW2915355467

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.