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Characterization of the immunophenotypes and antigenomes of colorectal cancers reveals distinct tumor escape mechanisms and novel targets for immunotherapy

Overview of attention for article published in Genome Biology, March 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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
7 X users
patent
3 patents
facebook
1 Facebook page
f1000
1 research highlight platform

Citations

dimensions_citation
425 Dimensions

Readers on

mendeley
587 Mendeley
citeulike
3 CiteULike
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Title
Characterization of the immunophenotypes and antigenomes of colorectal cancers reveals distinct tumor escape mechanisms and novel targets for immunotherapy
Published in
Genome Biology, March 2015
DOI 10.1186/s13059-015-0620-6
Pubmed ID
Authors

Mihaela Angelova, Pornpimol Charoentong, Hubert Hackl, Maria L Fischer, Rene Snajder, Anne M Krogsdam, Maximilian J Waldner, Gabriela Bindea, Bernhard Mlecnik, Jerome Galon, Zlatko Trajanoski

Abstract

While large-scale cancer genomic projects are comprehensively characterizing the mutational spectrum of various cancers, so far little attention has been devoted to either define the antigenicity of these mutations or to characterize the immune responses they elicit. Here we present a strategy to characterize the immunophenotypes and the antigen-ome of human colorectal cancer. We apply our strategy to a large colorectal cancer cohort (n = 598) and show that subpopulations of tumor-infiltrating lymphocytes are associated with distinct molecular phenotypes. The characterization of the antigenome shows that a large number of cancer-germline antigens are expressed in all patients. In contrast, neo-antigens are rarely shared between patients, indicating that cancer vaccination requires individualized strategy. Analysis of the genetic basis of the tumors reveals distinct tumor escape mechanisms for the patient subgroups. Hypermutated tumors are depleted of immunosuppressive cells and show upregulation of immunoinhibitory molecules. Non-hypermutated tumors are enriched with immunosuppressive cells, and the expression of immunoinhibitors and MHC molecules is downregulated. Reconstruction of the interaction network of tumor-infiltrating lymphocytes and immunomodulatory molecules followed by a validation with 11 independent cohorts (n = 1,945) identifies BCMA as a novel druggable target. Finally, linear regression modeling identifies major determinants of tumor immunogenicity, which include well-characterized modulators as well as a novel candidate, CCR8, which is then tested in an orthologous immunodeficient mouse model. The immunophenotypes of the tumors and the cancer antigenome remain widely unexplored, and our findings represent a step toward the development of personalized cancer immunotherapies.

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

Geographical breakdown

Country Count As %
United States 8 1%
Netherlands 1 <1%
France 1 <1%
Korea, Republic of 1 <1%
Austria 1 <1%
Germany 1 <1%
Brazil 1 <1%
Israel 1 <1%
United Kingdom 1 <1%
Other 5 <1%
Unknown 566 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 147 25%
Student > Ph. D. Student 117 20%
Student > Master 80 14%
Other 45 8%
Student > Bachelor 34 6%
Other 92 16%
Unknown 72 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 142 24%
Biochemistry, Genetics and Molecular Biology 138 24%
Medicine and Dentistry 112 19%
Immunology and Microbiology 54 9%
Computer Science 21 4%
Other 35 6%
Unknown 85 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 30 March 2024.
All research outputs
#1,444,923
of 25,374,647 outputs
Outputs from Genome Biology
#1,156
of 4,467 outputs
Outputs of similar age
#18,260
of 279,260 outputs
Outputs of similar age from Genome Biology
#13
of 63 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 74% 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 279,260 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.