Title |
A genome-wide association study of chemotherapy-induced alopecia in breast cancer patients
|
---|---|
Published in |
Breast Cancer Research, September 2013
|
DOI | 10.1186/bcr3475 |
Pubmed ID | |
Authors |
Suyoun Chung, Siew-Kee Low, Hitoshi Zembutsu, Atsushi Takahashi, Michiaki Kubo, Mitsunori Sasa, Yusuke Nakamura |
Abstract |
Chemotherapy-induced alopecia is one of the most common adverse events caused by conventional cytotoxic chemotherapy, yet there has been very little progress in the prevention or treatment of this side effect. Although this is not a life-threatening event, alopecia is very psychologically difficult for many women to manage. In order to improve the quality of life for these women, it is important to elucidate the molecular mechanisms of chemotherapy-induced alopecia and develop ways to effectively prevent and/or treat it. To identify the genetic risk factors associated with chemotherapy-induced alopecia, we conducted a genome-wide association study (GWAS) using DNA samples from breast cancer patients who were treated with chemotherapy. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Romania | 1 | 25% |
United States | 1 | 25% |
Brazil | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Members of the public | 1 | 25% |
Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Finland | 1 | 1% |
United Kingdom | 1 | 1% |
United States | 1 | 1% |
Unknown | 71 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 14 | 19% |
Other | 10 | 14% |
Researcher | 9 | 12% |
Student > Bachelor | 7 | 9% |
Student > Ph. D. Student | 7 | 9% |
Other | 7 | 9% |
Unknown | 20 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 17 | 23% |
Biochemistry, Genetics and Molecular Biology | 11 | 15% |
Agricultural and Biological Sciences | 10 | 14% |
Nursing and Health Professions | 7 | 9% |
Mathematics | 2 | 3% |
Other | 8 | 11% |
Unknown | 19 | 26% |