↓ Skip to main content

Metabolic communication in tumors: a new layer of immunoregulation for immune evasion

Overview of attention for article published in Journal for Immunotherapy of Cancer, February 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

dimensions_citation
110 Dimensions

Readers on

mendeley
166 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Metabolic communication in tumors: a new layer of immunoregulation for immune evasion
Published in
Journal for Immunotherapy of Cancer, February 2016
DOI 10.1186/s40425-016-0109-1
Pubmed ID
Authors

Ping-Chih Ho, Pu-Ste Liu

Abstract

The success of cancer immunotherapy reveals the power of host immunity on killing cancer cells and the feasibility to unleash restraints of anti-tumor immunity. However, the immunosuppressive tumor microenvironment and low immunogenicity of cancer cells restrict the therapeutic efficacy of cancer immunotherapies in a small fraction of patients. Therefore deciphering the underlying mechanisms promoting the generation of an immunosuppressive tumor microenvironment is direly needed to better harness host anti-tumor immunity. Early works revealed that deregulated metabolic activities in cancer cells support unrestricted proliferation and survival by producing macromolecules. Intriguingly, recent studies uncovered that metabolic switch in immune and endothelial cells modulate cellular activities and contribute to the progression of several diseases, including cancers. Herein, we review the progress on immunometabolic regulations on fine-tuning activities of immune cells and discuss how metabolic communication between cancer and infiltrating immune cells contributes to cancer immune evasion. Moreover, we would like to discuss how we might exploit this knowledge to improve current immunotherapies and the unresolved issues in this field.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
France 1 <1%
Unknown 164 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 22%
Researcher 36 22%
Student > Master 15 9%
Other 12 7%
Student > Bachelor 12 7%
Other 26 16%
Unknown 28 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 32 19%
Immunology and Microbiology 31 19%
Agricultural and Biological Sciences 30 18%
Medicine and Dentistry 19 11%
Pharmacology, Toxicology and Pharmaceutical Science 6 4%
Other 17 10%
Unknown 31 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 October 2016.
All research outputs
#16,061,963
of 25,394,764 outputs
Outputs from Journal for Immunotherapy of Cancer
#2,688
of 3,428 outputs
Outputs of similar age
#168,127
of 311,711 outputs
Outputs of similar age from Journal for Immunotherapy of Cancer
#12
of 15 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,428 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one is in the 19th percentile – i.e., 19% 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 311,711 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.