Title |
Vascular endothelial growth factor receptor-1 mRNA overexpression in peripheral blood as a useful prognostic marker in breast cancer
|
---|---|
Published in |
Breast Cancer Research, October 2012
|
DOI | 10.1186/bcr3345 |
Pubmed ID | |
Authors |
Yoshimasa Kosaka, Akemi Kataoka, Hiroshi Yamaguchi, Hiroaki Ueo, Sayuri Akiyoshi, Norihiko Sengoku, Masaru Kuranami, Shinji Ohno, Masahiko Watanabe, Koshi Mimori, Masaki Mori |
Abstract |
ABSTRACT: INTRODUCTION: Identification of useful markers associated with poor prognosis in breast cancer patients is critically needed. We previously showed that expression of vascular endothelial growth factor receptor-1 mRNA in peripheral blood may be useful to predict distant metastasis in gastric cancer patients. However, expression of vascular endothelial growth factor receptor-1 mRNA in peripheral blood of breast cancer patients has not yet been studied. METHODS: Real-time reverse transcriptase-PCR was used to analyze vascular endothelial growth factor receptor-1 mRNA expression status with respect to various clinical parameters in 515 patients with breast cancer and 25 controls. RESULTS: Expression of vascular endothelial growth factor receptor-1 mRNA in peripheral blood was higher in breast cancer patients than in controls. Increased vascular endothelial growth factor receptor-1 mRNA expression was associated with large tumor size, lymph node metastasis and clinical stage. Patients with high vascular endothelial growth factor receptor-1 mRNA expression also experienced a poorer survival rate than those with low expression levels, including those patients with triple-negative type and luminal-HER2(-) type disease. CONCLUSIONS: Expression of vascular endothelial growth factor receptor-1 mRNA in peripheral blood may be useful for prediction of poor prognosis in breast cancer, especially in patients with triple-negative type and luminal-HER2(-) type disease. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 5% |
Unknown | 21 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 23% |
Student > Doctoral Student | 3 | 14% |
Student > Bachelor | 3 | 14% |
Other | 2 | 9% |
Professor | 1 | 5% |
Other | 4 | 18% |
Unknown | 4 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 6 | 27% |
Medicine and Dentistry | 4 | 18% |
Biochemistry, Genetics and Molecular Biology | 2 | 9% |
Engineering | 2 | 9% |
Materials Science | 1 | 5% |
Other | 1 | 5% |
Unknown | 6 | 27% |