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Identification and Characterization of Neoantigens As Well As Respective Immune Responses in Cancer Patients

Overview of attention for article published in Frontiers in immunology, November 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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11 X users
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146 Mendeley
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Title
Identification and Characterization of Neoantigens As Well As Respective Immune Responses in Cancer Patients
Published in
Frontiers in immunology, November 2017
DOI 10.3389/fimmu.2017.01702
Pubmed ID
Authors

Eva Bräunlein, Angela M. Krackhardt

Abstract

Cancer immunotherapy has recently emerged as a powerful tool for the treatment of diverse advanced malignancies. In particular, therapeutic application of immune checkpoint modulators, such as anti-CTLA4 or anti-PD-1/PD-L1 antibodies, have shown efficacy in a broad range of malignant diseases. Although pharmacodynamics of these immune modulators are complex, recent studies strongly support the notion that altered peptide ligands presented on tumor cells representing neoantigens may play an essential role in tumor rejection by T cells activated by anti-CTLA4 and anti-PD-1 antibodies. Neoantigens may have diverse sources as viral and mutated proteins. Moreover, posttranslational modifications and altered antigen processing may also contribute to the neoantigenic peptide ligand landscape. Different approaches of target identification are currently applied in combination with subsequent characterization of autologous and non-self T-cell responses against such neoantigens. Additional efforts are required to elucidate key characteristics and interdependences of neoantigens, immunodominance, respective T-cell responses, and the tumor microenvironment in order to define decisive determinants involved in effective T-cell-mediated tumor rejection. This review focuses on our current knowledge of identification and characterization of such neoantigens as well as respective T-cell responses. It closes with challenges to be addressed in future relevant for further improvement of immunotherapeutic strategies in malignant diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 146 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 18%
Student > Ph. D. Student 26 18%
Student > Bachelor 20 14%
Student > Master 10 7%
Other 8 5%
Other 19 13%
Unknown 36 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 23%
Agricultural and Biological Sciences 21 14%
Medicine and Dentistry 13 9%
Immunology and Microbiology 13 9%
Pharmacology, Toxicology and Pharmaceutical Science 7 5%
Other 20 14%
Unknown 39 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 15 September 2022.
All research outputs
#4,265,957
of 25,703,943 outputs
Outputs from Frontiers in immunology
#4,632
of 32,216 outputs
Outputs of similar age
#83,118
of 447,932 outputs
Outputs of similar age from Frontiers in immunology
#106
of 593 outputs
Altmetric has tracked 25,703,943 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,216 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done well, scoring higher than 85% 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 447,932 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 81% of its contemporaries.
We're also able to compare this research output to 593 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.