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PSMD9 expression predicts radiotherapy response in breast cancer

Overview of attention for article published in Molecular Cancer, March 2014
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37 Mendeley
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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

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 March 2014.
All research outputs
#15,298,293
of 22,751,628 outputs
Outputs from Molecular Cancer
#1,041
of 1,717 outputs
Outputs of similar age
#132,205
of 224,799 outputs
Outputs of similar age from Molecular Cancer
#26
of 44 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,717 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 224,799 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.