| Title |
Mutations in components of antiviral or microbial defense as a basis for breast cancer
|
|---|---|
| Published in |
Functional & Integrative Genomics, September 2013
|
| DOI | 10.1007/s10142-013-0336-1 |
| Pubmed ID | |
| Authors |
Bernard Friedenson |
| Abstract |
In-depth functional analyses of thousands of breast cancer gene mutations reveals vastly different sets of mutated genes in each of 21 different breast cancer genomes. Despite differences in which genes are mutated, innate immunity pathways and metabolic reactions supporting them are always damaged. These functions depend on many different genes. Mutations may be rare individually but each set of mutations affects some aspect of pathogen recognition and defense, especially those involving viruses. Some mutations cause a dysregulated immune response, which can also increase cancer risks. The frequency of an individual mutation may be less important than its effect on function. This work demonstrates that acquired immune deficiencies and immune dysregulation in cancer can occur because of mutations. Abnormal immune responses represent a hidden variable in breast cancer-viral association studies. Compensating for these abnormalities may open many new opportunities for cancer prevention and therapy. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 6% |
| Egypt | 1 | 6% |
| Unknown | 14 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 19% |
| Researcher | 3 | 19% |
| Professor > Associate Professor | 3 | 19% |
| Student > Postgraduate | 2 | 13% |
| Student > Master | 1 | 6% |
| Other | 3 | 19% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 56% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Medicine and Dentistry | 2 | 13% |
| Unspecified | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 1 | 6% |
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 27 August 2015.
All research outputs
#3,164,467
of 22,731,677 outputs
Outputs from Functional & Integrative Genomics
#12
of 493 outputs
Outputs of similar age
#29,654
of 202,140 outputs
Outputs of similar age from Functional & Integrative Genomics
#1
of 5 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 493 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 97% of its peers.
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