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Exploiting the Immunogenic Potential of Cancer Cells for Improved Dendritic Cell Vaccines

Overview of attention for article published in Frontiers in immunology, January 2016
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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1 blog
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Citations

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79 Dimensions

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121 Mendeley
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Title
Exploiting the Immunogenic Potential of Cancer Cells for Improved Dendritic Cell Vaccines
Published in
Frontiers in immunology, January 2016
DOI 10.3389/fimmu.2015.00663
Pubmed ID
Authors

Lien Vandenberk, Jochen Belmans, Matthias Van Woensel, Matteo Riva, Stefaan W. Van Gool

Abstract

Cancer immunotherapy is currently the hottest topic in the oncology field, owing predominantly to the discovery of immune checkpoint blockers. These promising antibodies and their attractive combinatorial features have initiated the revival of other effective immunotherapies, such as dendritic cell (DC) vaccinations. Although DC-based immunotherapy can induce objective clinical and immunological responses in several tumor types, the immunogenic potential of this monotherapy is still considered suboptimal. Hence, focus should be directed on potentiating its immunogenicity by making step-by-step protocol innovations to obtain next-generation Th1-driving DC vaccines. We review some of the latest developments in the DC vaccination field, with a special emphasis on strategies that are applied to obtain a highly immunogenic tumor cell cargo to load and to activate the DCs. To this end, we discuss the effects of three immunogenic treatment modalities (ultraviolet light, oxidizing treatments, and heat shock) and five potent inducers of immunogenic cell death [radiotherapy, shikonin, high-hydrostatic pressure, oncolytic viruses, and (hypericin-based) photodynamic therapy] on DC biology and their application in DC-based immunotherapy in preclinical as well as clinical settings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Greece 1 <1%
Korea, Republic of 1 <1%
Canada 1 <1%
Unknown 117 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 19%
Student > Master 18 15%
Student > Ph. D. Student 17 14%
Student > Bachelor 17 14%
Student > Doctoral Student 8 7%
Other 21 17%
Unknown 17 14%
Readers by discipline Count As %
Immunology and Microbiology 26 21%
Medicine and Dentistry 22 18%
Agricultural and Biological Sciences 20 17%
Biochemistry, Genetics and Molecular Biology 12 10%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Other 13 11%
Unknown 23 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 05 March 2016.
All research outputs
#3,561,374
of 25,374,647 outputs
Outputs from Frontiers in immunology
#3,896
of 31,520 outputs
Outputs of similar age
#58,541
of 402,343 outputs
Outputs of similar age from Frontiers in immunology
#18
of 124 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 85th 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 87% 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 402,343 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 85% of its contemporaries.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.