| Title |
A nervous tumor microenvironment: the impact of adrenergic stress on cancer cells, immunosuppression, and immunotherapeutic response
|
|---|---|
| Published in |
Cancer Immunology, Immunotherapy, October 2014
|
| DOI | 10.1007/s00262-014-1617-9 |
| Pubmed ID | |
| Authors |
Jason W.-L. Eng, Kathleen M. Kokolus, Chelsey B. Reed, Bonnie L. Hylander, Wen W. Ma, Elizabeth A. Repasky |
| Abstract |
Long conserved mechanisms maintain homeostasis in living creatures in response to a variety of stresses. However, continuous exposure to stress can result in unabated production of stress hormones, especially catecholamines, which can have detrimental health effects. While the long-term effects of chronic stress have well-known physiological consequences, recent discoveries have revealed that stress may affect therapeutic efficacy in cancer. Growing epidemiological evidence reveals strong correlations between progression-free and long-term survival and β-blocker usage in cancer patients. In this review, we summarize the current understanding of how the catecholamines, epinephrine and norepinephrine, affect cancer cell survival and tumor progression. We also highlight new data exploring the potential contributions of stress to immunosuppression in the tumor microenvironment and the implications of these findings for the efficacy of immunotherapies. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | <1% |
| Unknown | 158 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 15% |
| Student > Master | 19 | 12% |
| Researcher | 18 | 11% |
| Student > Bachelor | 18 | 11% |
| Professor | 10 | 6% |
| Other | 32 | 20% |
| Unknown | 38 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 33 | 21% |
| Biochemistry, Genetics and Molecular Biology | 18 | 11% |
| Psychology | 11 | 7% |
| Agricultural and Biological Sciences | 11 | 7% |
| Immunology and Microbiology | 9 | 6% |
| Other | 29 | 18% |
| Unknown | 48 | 30% |
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 10 April 2018.
All research outputs
#14,202,176
of 22,766,595 outputs
Outputs from Cancer Immunology, Immunotherapy
#1,994
of 2,881 outputs
Outputs of similar age
#132,773
of 256,317 outputs
Outputs of similar age from Cancer Immunology, Immunotherapy
#19
of 32 outputs
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