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Chemokine Receptor-Specific Antibodies in Cancer Immunotherapy: Achievements and Challenges

Overview of attention for article published in Frontiers in immunology, January 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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1 X user
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4 patents

Citations

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90 Dimensions

Readers on

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133 Mendeley
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Title
Chemokine Receptor-Specific Antibodies in Cancer Immunotherapy: Achievements and Challenges
Published in
Frontiers in immunology, January 2015
DOI 10.3389/fimmu.2015.00012
Pubmed ID
Authors

Maria Vela, Mariana Aris, Mercedes Llorente, Jose A. Garcia-Sanz, Leonor Kremer

Abstract

The 1990s brought a burst of information regarding the structure, expression pattern, and role in leukocyte migration and adhesion of chemokines and their receptors. At that time, the FDA approved the first therapeutic antibodies for cancer treatment. A few years later, it was reported that the chemokine receptors CXCR4 and CCR7 were involved on directing metastases to liver, lung, bone marrow, or lymph nodes, and the over-expression of CCR4, CCR6, and CCR9 by certain tumors. The possibility of inhibiting the interaction of chemokine receptors present on the surface of tumor cells with their ligands emerged as a new therapeutic approach. Therefore, many research groups and companies began to develop small molecule antagonists and specific antibodies, aiming to neutralize signaling from these receptors. Despite great expectations, so far, only one anti-chemokine receptor antibody has been approved for its clinical use, mogamulizumab, an anti-CCR4 antibody, granted in Japan to treat refractory adult T-cell leukemia and lymphoma. Here, we review the main achievements obtained with anti-chemokine receptor antibodies for cancer immunotherapy, including discovery and clinical studies, proposed mechanisms of action, and therapeutic applications.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
United Kingdom 1 <1%
France 1 <1%
Unknown 130 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 20%
Student > Ph. D. Student 22 17%
Student > Master 21 16%
Student > Bachelor 16 12%
Other 14 11%
Other 19 14%
Unknown 15 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 23%
Agricultural and Biological Sciences 31 23%
Medicine and Dentistry 20 15%
Immunology and Microbiology 13 10%
Pharmacology, Toxicology and Pharmaceutical Science 8 6%
Other 13 10%
Unknown 17 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 17 February 2021.
All research outputs
#5,339,368
of 25,374,917 outputs
Outputs from Frontiers in immunology
#5,930
of 31,520 outputs
Outputs of similar age
#70,969
of 361,487 outputs
Outputs of similar age from Frontiers in immunology
#26
of 169 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,520 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 80% of its peers.
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 361,487 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 169 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.