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Tumor antigen discovery through translation of the cancer genome

Overview of attention for article published in Immunologic Research, April 2014
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Title
Tumor antigen discovery through translation of the cancer genome
Published in
Immunologic Research, April 2014
DOI 10.1007/s12026-014-8505-4
Pubmed ID
Authors

Michael S. Khodadoust, Ash A. Alizadeh

Abstract

Cancer cells harbor unique mutations that theoretically create corresponding unique tumor-specific antigens. This class of mutated antigens represents an attractive target for cancer immunotherapy, but their identification has been cumbersome. By combining cancer genome sequencing with computational analysis of MHC binding, it is possible to predict and rank all of the possible mutated tumor antigens. This form of antigen screen is being combined with high throughput methods to measure the immune response to each candidate mutated antigen. Using these techniques, it is possible to systematically test each mutated tumor antigens for an associated immune response. Only a small fraction of the putative mutated antigens tested in this manner have been found to elicit an immune response, yet these responses appear to be both robust and durable. It is becoming increasingly clear that these mutated tumor antigens are an important target in the antitumor response. Studies incorporating this approach promise to improve our understanding of the inherent immunogenicity of individual cancers, potentially providing an explanation for the varying clinical responses to novel immunotherapeutic agents.

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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 27%
Student > Bachelor 8 16%
Student > Ph. D. Student 8 16%
Student > Master 7 14%
Professor > Associate Professor 3 6%
Other 2 4%
Unknown 9 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 29%
Medicine and Dentistry 9 18%
Biochemistry, Genetics and Molecular Biology 7 14%
Immunology and Microbiology 5 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 3 6%
Unknown 10 20%
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 07 January 2015.
All research outputs
#19,015,492
of 23,577,654 outputs
Outputs from Immunologic Research
#685
of 928 outputs
Outputs of similar age
#167,197
of 229,679 outputs
Outputs of similar age from Immunologic Research
#28
of 37 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 928 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 16th percentile – i.e., 16% 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 229,679 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.