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Lymphatic and Angiogenic Candidate Genes Predict the Development of Secondary Lymphedema following Breast Cancer Surgery

Overview of attention for article published in PLOS ONE, April 2013
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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.

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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%