| Title |
Mystery of the brain metastatic disease in breast cancer patients: improved patient stratification, disease prediction and targeted prevention on the horizon?
|
|---|---|
| Published in |
EPMA Journal, March 2017
|
| DOI | 10.1007/s13167-017-0087-5 |
| Pubmed ID | |
| Authors |
Jiri Polivka, Milena Kralickova, Jiri Polivka, Christina Kaiser, Walther Kuhn, Olga Golubnitschaja |
| Abstract |
The breast cancer (BC) diagnosis currently experiences the epidemic evolution with more than half of million deaths each year. Despite screening programmes applied and treatments available, breast cancer patients frequently develop distant metastases. The brain is one of the predominant sites of the metastatic spread recorded for more than 20% of BC patients, in contrast to the general population, where brain tumours are rarely diagnosed. Although highly clinically relevant, the brain tumour mystery in the cohort of breast cancer patients has not been yet adequately explained. This review summarises currently available information on the risk factors predicting brain metastases in BC patients to motivate the relevant scientific areas to explore the data/facts available and elucidate disease-specific mechanisms that are of a great clinical utility. |
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 % |
|---|---|---|
| Portugal | 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 25% |
| Student > Bachelor | 6 | 21% |
| Researcher | 5 | 18% |
| Student > Postgraduate | 3 | 11% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 3 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 25% |
| Biochemistry, Genetics and Molecular Biology | 5 | 18% |
| Computer Science | 3 | 11% |
| Agricultural and Biological Sciences | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
| Other | 1 | 4% |
| Unknown | 8 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 22 August 2017.
All research outputs
#21,498,958
of 23,999,200 outputs
Outputs from EPMA Journal
#278
of 318 outputs
Outputs of similar age
#273,842
of 311,641 outputs
Outputs of similar age from EPMA Journal
#5
of 8 outputs
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