Title |
RNA profiling reveals familial aggregation of molecular subtypes in non-BRCA1/2 breast cancer families
|
---|---|
Published in |
BMC Medical Genomics, January 2014
|
DOI | 10.1186/1755-8794-7-9 |
Pubmed ID | |
Authors |
Martin J Larsen, Mads Thomassen, Qihua Tan, Anne-Vibeke Lænkholm, Martin Bak, Kristina P Sørensen, Mette Klarskov Andersen, Torben A Kruse, Anne-Marie Gerdes |
Abstract |
In more than 70% of families with a strong history of breast and ovarian cancers, pathogenic mutation in BRCA1 or BRCA2 cannot be identified, even though hereditary factors are expected to be involved. It has been proposed that tumors with similar molecular phenotypes also share similar underlying pathophysiological mechanisms. In the current study, the aim was to investigate if global RNA profiling can be used to identify functional subgroups within breast tumors from families tested negative for BRCA1/2 germline mutations and how these subgroupings relate to different breast cancer patients within the same family. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 33% |
Denmark | 1 | 33% |
United States | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
Denmark | 1 | 3% |
Egypt | 1 | 3% |
Unknown | 35 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 18% |
Student > Ph. D. Student | 6 | 16% |
Student > Bachelor | 5 | 13% |
Student > Master | 5 | 13% |
Student > Doctoral Student | 2 | 5% |
Other | 6 | 16% |
Unknown | 7 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 10 | 26% |
Agricultural and Biological Sciences | 8 | 21% |
Biochemistry, Genetics and Molecular Biology | 7 | 18% |
Computer Science | 3 | 8% |
Psychology | 1 | 3% |
Other | 1 | 3% |
Unknown | 8 | 21% |