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Osteopontin splice variants are differential predictors of breast cancer treatment responses

Overview of attention for article published in BMC Cancer, July 2016
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  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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1 X user
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1 patent

Citations

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17 Dimensions

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21 Mendeley
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Title
Osteopontin splice variants are differential predictors of breast cancer treatment responses
Published in
BMC Cancer, July 2016
DOI 10.1186/s12885-016-2484-x
Pubmed ID
Authors

Krzysztof Zduniak, Anil Agrawal, Siddarth Agrawal, Md Monir Hossain, Piotr Ziolkowski, Georg F. Weber

Abstract

Osteopontin is a marker for breast cancer progression, which in previous studies has also been associated with resistance to certain anti-cancer therapies. It is not known which splice variants may mediate treatment resistance. Here we analyze the association of osteopontin variant expression before treatment, differentiated according to immunohistochemistry with antibodies to exon 4 and to the osteopontin-c splice junction respectively, with the ensuing therapy responses in 119 Polish breast cancer patients who presented between 1995 and 2008. We found from Cox hazard models, logrank test and Wilcoxon test that osteopontin exon 4 was associated with a favorable response to tamoxifen, but a poor response to chemotherapy with CMF (cyclophosphamide, methotrexate, fluorouracil). Osteopontin-c is prognostic, but falls short of being a significant predictor for sensitivity to treatment. The addition of osteopontin splice variant immunohistochemistry to standard pathology work-ups has the potential to aid decision making in breast cancer treatment.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 19%
Student > Ph. D. Student 3 14%
Researcher 3 14%
Student > Master 3 14%
Professor 1 5%
Other 1 5%
Unknown 6 29%
Readers by discipline Count As %
Medicine and Dentistry 6 29%
Biochemistry, Genetics and Molecular Biology 3 14%
Nursing and Health Professions 2 10%
Psychology 2 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 1 5%
Unknown 6 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 March 2019.
All research outputs
#7,240,812
of 22,880,691 outputs
Outputs from BMC Cancer
#1,948
of 8,325 outputs
Outputs of similar age
#120,571
of 354,317 outputs
Outputs of similar age from BMC Cancer
#42
of 260 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,325 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 75% of its peers.
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 354,317 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 260 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.