Title |
Lymphatic and Angiogenic Candidate Genes Predict the Development of Secondary Lymphedema following Breast Cancer Surgery
|
---|---|
Published in |
PLOS ONE, April 2013
|
DOI | 10.1371/journal.pone.0060164 |
Pubmed ID | |
Authors |
Christine Miaskowski, Marylin Dodd, Steven M. Paul, Claudia West, Deborah Hamolsky, Gary Abrams, Bruce A. Cooper, Charles Elboim, John Neuhaus, Brian L. Schmidt, Betty Smoot, Bradley E. Aouizerat |
Abstract |
The purposes of this study were to evaluate for differences in phenotypic and genotypic characteristics in women who did and did not develop lymphedema (LE) following breast cancer treatment. Breast cancer patients completed a number of self-report questionnaires. LE was evaluated using bioimpedance spectroscopy. Genotyping was done using a custom genotyping array. No differences were found between patients with (n = 155) and without LE (n = 387) for the majority of the demographic and clinical characteristics. Patients with LE had a significantly higher body mass index, more advanced disease and a higher number of lymph nodes removed. Genetic associations were identified for four genes (i.e., lymphocyte cytosolic protein 2 (rs315721), neuropilin-2 (rs849530), protein tyrosine kinase (rs158689), vascular cell adhesion molecule 1 (rs3176861)) and three haplotypes (i.e., Forkhead box protein C2 (haplotype A03), neuropilin-2 (haplotype F03), vascular endothelial growth factor-C (haplotype B03)) involved in lymphangiogensis and angiogenesis. These genetic associations suggest a role for a number of lymphatic and angiogenic genes in the development of LE following breast cancer treatment. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 38% |
Belgium | 1 | 13% |
Singapore | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Scientists | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Unknown | 95 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 14% |
Researcher | 12 | 13% |
Student > Master | 9 | 9% |
Student > Bachelor | 8 | 8% |
Student > Doctoral Student | 6 | 6% |
Other | 22 | 23% |
Unknown | 26 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 33 | 34% |
Agricultural and Biological Sciences | 11 | 11% |
Nursing and Health Professions | 7 | 7% |
Biochemistry, Genetics and Molecular Biology | 7 | 7% |
Chemistry | 2 | 2% |
Other | 7 | 7% |
Unknown | 29 | 30% |