Title |
Hypoxia-inducible factor 1α promotes primary tumor growth and tumor-initiating cell activity in breast cancer
|
---|---|
Published in |
Breast Cancer Research, January 2012
|
DOI | 10.1186/bcr3087 |
Pubmed ID | |
Authors |
Luciana P Schwab, Danielle L Peacock, Debeshi Majumdar, Jesse F Ingels, Laura C Jensen, Keisha D Smith, Richard C Cushing, Tiffany N Seagroves |
Abstract |
Overexpression of the oxygen-responsive transcription factor hypoxia-inducible factor 1α (HIF-1α) correlates with poor prognosis in breast cancer patients. The mouse mammary tumor virus polyoma virus middle T (MMTV-PyMT) mouse is a widely utilized preclinical mouse model that resembles human luminal breast cancer and is highly metastatic. Prior studies in which the PyMT model was used demonstrated that HIF-1α is essential to promoting carcinoma onset and lung metastasis, although no differences in primary tumor end point size were observed. Using a refined model system, we investigated whether HIF-1α is directly implicated in the regulation of tumor-initiating cells (TICs) in breast cancer. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Greece | 1 | <1% |
Unknown | 176 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 41 | 23% |
Student > Bachelor | 25 | 14% |
Student > Master | 24 | 13% |
Researcher | 21 | 12% |
Student > Doctoral Student | 18 | 10% |
Other | 23 | 13% |
Unknown | 28 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 49 | 27% |
Biochemistry, Genetics and Molecular Biology | 38 | 21% |
Medicine and Dentistry | 26 | 14% |
Immunology and Microbiology | 6 | 3% |
Computer Science | 3 | 2% |
Other | 22 | 12% |
Unknown | 36 | 20% |