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Progress and Challenges in the Design and Clinical Development of Antibodies for Cancer Therapy

Overview of attention for article published in Frontiers in immunology, January 2018
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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7 X users
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48 patents

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302 Mendeley
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Title
Progress and Challenges in the Design and Clinical Development of Antibodies for Cancer Therapy
Published in
Frontiers in immunology, January 2018
DOI 10.3389/fimmu.2017.01751
Pubmed ID
Authors

Juan C. Almagro, Tracy R. Daniels-Wells, Sonia Mayra Perez-Tapia, Manuel L. Penichet

Abstract

The remarkable progress in engineering and clinical development of therapeutic antibodies in the last 40 years, after the seminal work by Köhler and Milstein, has led to the approval by the United States Food and Drug Administration (FDA) of 21 antibodies for cancer immunotherapy. We review here these approved antibodies, with emphasis on the methods used for their discovery, engineering, and optimization for therapeutic settings. These methods include antibody engineering via chimerization and humanization of non-human antibodies, as well as selection and further optimization of fully human antibodies isolated from human antibody phage-displayed libraries and immunization of transgenic mice capable of generating human antibodies. These technology platforms have progressively led to the development of therapeutic antibodies with higher human content and, thus, less immunogenicity. We also discuss the genetic engineering approaches that have allowed isotype switching and Fc modifications to modulate effector functions and bioavailability (half-life), which together with the technologies for engineering the Fv fragment, have been pivotal in generating more efficacious and better tolerated therapeutic antibodies to treat cancer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 302 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 302 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 56 19%
Student > Ph. D. Student 52 17%
Student > Bachelor 45 15%
Student > Master 16 5%
Student > Doctoral Student 14 5%
Other 34 11%
Unknown 85 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 69 23%
Immunology and Microbiology 37 12%
Agricultural and Biological Sciences 32 11%
Pharmacology, Toxicology and Pharmaceutical Science 18 6%
Medicine and Dentistry 13 4%
Other 43 14%
Unknown 90 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 09 January 2024.
All research outputs
#2,800,523
of 25,658,139 outputs
Outputs from Frontiers in immunology
#2,904
of 32,130 outputs
Outputs of similar age
#60,640
of 452,326 outputs
Outputs of similar age from Frontiers in immunology
#81
of 605 outputs
Altmetric has tracked 25,658,139 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,130 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done particularly well, scoring higher than 90% 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 452,326 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 86% of its contemporaries.
We're also able to compare this research output to 605 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.