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Fc Receptors

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Cover of 'Fc Receptors'

Table of Contents

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    Book Overview
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    Chapter 1 The Old but New IgM Fc Receptor (Fc μ R)
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    Chapter 2 Emerging Roles for the FCRL Family Members in Lymphocyte Biology and Disease.
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    Chapter 3 Intracellular Antibody Immunity and the Cytosolic Fc Receptor TRIM21.
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    Chapter 4 Computational Modeling of the Main Signaling Pathways Involved in Mast Cell Activation
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    Chapter 5 Calcium Channels in Fc Receptor Signaling
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    Chapter 6 Regulation of FcεRI Signaling by Lipid Phosphatases.
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    Chapter 7 Fc receptors as adaptive immunoreceptors.
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    Chapter 8 Glycosylation and fc receptors.
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    Chapter 9 Antibodies as Natural Adjuvants
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    Chapter 10 IgA, IgA Receptors, and Their Anti-inflammatory Properties.
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    Chapter 11 Humanized Mice to Study FcγR Function.
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    Chapter 12 FcRn: From Molecular Interactions to Regulation of IgG Pharmacokinetics and Functions.
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    Chapter 13 Human FcR Polymorphism and Disease
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    Chapter 14 Bridging autoantibodies and arthritis: the role of fc receptors.
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    Chapter 15 The FcγR of Humans and Non-human Primates and Their Interaction with IgG: Implications for Induction of Inflammation, Resistance to Infection and the Use of Therapeutic Monoclonal Antibodies
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    Chapter 16 FcγRIIB as a Key Determinant of Agonistic Antibody Efficacy.
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    Chapter 17 Fc receptor-dependent mechanisms of monoclonal antibody therapy of cancer.
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    Chapter 18 Sweet and Sour: The Role of Glycosylation for the Anti-inflammatory Activity of Immunoglobulin G.
Attention for Chapter 17: Fc receptor-dependent mechanisms of monoclonal antibody therapy of cancer.
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Chapter title
Fc receptor-dependent mechanisms of monoclonal antibody therapy of cancer.
Chapter number 17
Book title
Fc Receptors
Published in
Current topics in microbiology and immunology, August 2014
DOI 10.1007/978-3-319-07911-0_17
Pubmed ID
Book ISBNs
978-3-31-907910-3, 978-3-31-907911-0
Authors

Bakema JE, van Egmond M, Jantine E. Bakema, Marjolein van Egmond, Bakema, Jantine E., Egmond, Marjolein van

Abstract

Targeted therapies like treatment with monoclonal antibodies (mAbs) have entered the arsenal of modern anticancer drugs. mAbs combine specificity with multiple effector functions that can lead to reduction of tumour burden. Direct mechanisms of action, including induction of apoptosis or growth inhibition, depend on the biology of the target antigen. Fc tails of mAbs have furthermore the potential to initiate complement-dependent lysis as well as immune effector cell-mediated tumour cell killing via binding to Fc receptors. Natural killer cells can induce apoptosis via antibody-dependent cellular cytotoxicity (ADCC), whereas macrophages are able to phagocytose mAb-opsonized tumour cells (antibody-dependent cellular phagocytosis; ADCP). Finally, neutrophils can induce non-apoptotic tumour cell death, especially in the presence of immunoglobulin A (IgA) antitumour mAbs. In spite of promising clinical successes in some malignancies, improvement of mAb immunotherapy is required to achieve overall complete remission in cancer patients. New strategies to enhance Fc receptor-mediated mechanisms of action or to overcome the immunosuppressive microenvironment of the tumour in mAb therapy of cancer are therefore currently being explored and will be addressed in this chapter.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 72 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 21%
Student > Ph. D. Student 13 18%
Student > Master 12 16%
Researcher 9 12%
Student > Doctoral Student 4 5%
Other 4 5%
Unknown 16 22%
Readers by discipline Count As %
Immunology and Microbiology 16 22%
Biochemistry, Genetics and Molecular Biology 13 18%
Medicine and Dentistry 11 15%
Agricultural and Biological Sciences 8 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 3 4%
Unknown 20 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 November 2014.
All research outputs
#19,015,492
of 23,577,654 outputs
Outputs from Current topics in microbiology and immunology
#538
of 689 outputs
Outputs of similar age
#150,935
of 211,195 outputs
Outputs of similar age from Current topics in microbiology and immunology
#22
of 35 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 689 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 211,195 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.