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S100β as a serum marker in endocrine resistant breast cancer

Overview of attention for article published in BMC Medicine, April 2017
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Title
S100β as a serum marker in endocrine resistant breast cancer
Published in
BMC Medicine, April 2017
DOI 10.1186/s12916-017-0836-2
Pubmed ID
Authors

Sara Charmsaz, Éamon Hughes, Fiona T. Bane, Paul Tibbitts, Marie McIlroy, Christopher Byrne, Sinéad Cocchiglia, Jean McBryan, Bryan T. Hennessy, Róisín M. Dwyer, Michael J. Kerin, Arnold D. Hill, Leonie S. Young

Abstract

Endocrine therapy is standard treatment for estrogen receptor (ER)-positive breast cancer. However, its efficacy is limited by intrinsic and acquired resistance. Here the potential of S100β as a biomarker and inhibition of its signaling network as a therapeutic strategy in endocrine treated patients was investigated. The expression of S100β in tissue and serum was assessed by immunohistochemistry and an enzyme-linked immunosorbent assay, respectively. The S100β signaling network was investigated in cell line models of endocrine resistance by western blot, PCR, immunoprecipitation, and chromatin-immunoprecipitation. Endocrine resistant xenografts and tumor explants from patients with resistant tumors were treated with endocrine therapy in the presence and absence of the p-Src kinase inhibitor, dasatinib. Tissue and serum levels of S100β were found to predict poor disease-free survival in endocrine-treated patients (n = 509, HR 2.32, 95% CI is 1.58-3.40, p < 0.0001 and n = 187, HR 4.009, 95% CI is 1.66-9.68, p = 0.002, respectively). Moreover, elevated levels of serum S100β detected during routine surveillance over the patient treatment period significantly associated with subsequent clinically confirmed disease recurrence (p = 0.019). In vivo studies demonstrated that endocrine treatment induced transcriptional regulation of S100β which was successfully disrupted with tyrosine kinase inhibition. In endocrine resistant xenografts and tumor explants from patients with endocrine resistant breast cancer, combined endocrine and dasatinib treatment reduced tumor proliferation and down-regulated S100β protein expression in comparison to endocrine treatment alone. S100β has potential as a new surveillance tool for patients with ER-positive breast cancer to monitor ongoing response to endocrine therapy. Moreover, endocrine resistant breast cancer patients with elevated S100β may benefit from combined endocrine and tyrosine-kinase inhibitor treatment. ClinicalTrials.gov,  NCT01840293 ). Registered on 23 April 2013. Retrospectively registered.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 17%
Student > Master 6 17%
Researcher 5 14%
Professor 3 8%
Other 2 6%
Other 3 8%
Unknown 11 31%
Readers by discipline Count As %
Medicine and Dentistry 8 22%
Biochemistry, Genetics and Molecular Biology 6 17%
Psychology 4 11%
Chemical Engineering 1 3%
Nursing and Health Professions 1 3%
Other 4 11%
Unknown 12 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 May 2017.
All research outputs
#13,547,128
of 22,963,381 outputs
Outputs from BMC Medicine
#2,840
of 3,448 outputs
Outputs of similar age
#159,173
of 310,001 outputs
Outputs of similar age from BMC Medicine
#52
of 61 outputs
Altmetric has tracked 22,963,381 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,448 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.6. This one is in the 16th percentile – i.e., 16% 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 310,001 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.