Title |
PSMD9 expression predicts radiotherapy response in breast cancer
|
---|---|
Published in |
Molecular Cancer, March 2014
|
DOI | 10.1186/1476-4598-13-73 |
Pubmed ID | |
Authors |
Fiona E Langlands, David Dodwell, Andrew M Hanby, Kieran Horgan, Rebecca A Millican-Slater, Valerie Speirs, Eldo T Verghese, Laura Smith, Thomas A Hughes |
Abstract |
More than 50% of cancer patients are recommended to receive radiotherapy. Recommendations are based mainly on clinical and pathological factors and not intrinsic tumour radio-sensitivity. Use of radiotherapy according to predictive markers would potentially reduce costly over-treatment, and improve the treatment risk-benefit ratio and cancer outcomes. Tumour expression of the 26S proteasome has been reported to predict radiotherapy response: low expression was associated with higher rates of local recurrence after radiotherapy, suggesting that low proteasome expression and activity was associated with radio-resistance. However, this conclusion is at odds with the emerging use of proteasome inhibitors as radio-sensitizers. Our aim was to further analyse the relevance of 26S proteasome expression, focussing specifically on the PSMD9 subunit, in the largest clinical cohort to date, and to investigate the functional role of PSMD9 in radio-sensitivity in breast cancer cell lines. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
Unknown | 36 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 22% |
Student > Master | 8 | 22% |
Researcher | 6 | 16% |
Student > Bachelor | 3 | 8% |
Professor | 2 | 5% |
Other | 1 | 3% |
Unknown | 9 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 24% |
Biochemistry, Genetics and Molecular Biology | 8 | 22% |
Agricultural and Biological Sciences | 8 | 22% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Immunology and Microbiology | 1 | 3% |
Other | 1 | 3% |
Unknown | 9 | 24% |