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Development of a test that measures real-time HER2 signaling function in live breast cancer cell lines and primary cells

Overview of attention for article published in BMC Cancer, March 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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3 X users
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6 patents

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13 Dimensions

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34 Mendeley
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Title
Development of a test that measures real-time HER2 signaling function in live breast cancer cell lines and primary cells
Published in
BMC Cancer, March 2017
DOI 10.1186/s12885-017-3181-0
Pubmed ID
Authors

Yao Huang, David J. Burns, Benjamin E. Rich, Ian A. MacNeil, Abhijit Dandapat, Sajjad M. Soltani, Samantha Myhre, Brian F. Sullivan, Carol A. Lange, Leo T. Furcht, Lance G. Laing

Abstract

Approximately 18-20% of all human breast cancers have overexpressed human epidermal growth factor receptor 2 (HER2). Standard clinical practice is to treat only overexpressed HER2 (HER2+) cancers with targeted anti-HER2 therapies. However, recent analyses of clinical trial data have found evidence that HER2-targeted therapies may benefit a sub-group of breast cancer patients with non-overexpressed HER2. This suggests that measurement of other biological factors associated with HER2 cancer, such as HER2 signaling pathway activity, should be considered as an alternative means of identifying patients eligible for HER2 therapies. A new biosensor-based test (CELx(TM) HSF) that measures HER2 signaling activity in live cells is demonstrated using a set of 19 human HER2+ and HER2- breast cancer reference cell lines and primary cell samples derived from two fresh patient tumor specimens. Pathway signaling is elucidated by use of highly specific agonists and antagonists. The test method relies upon well-established phenotypic, adhesion-related, impedance changes detected by the biosensor. The analytical sensitivity and analyte specificity of this method was demonstrated using ligands with high affinity and specificity for HER1 and HER3. The HER2-driven signaling quantified ranged 50-fold between the lowest and highest cell lines. The HER2+ cell lines were almost equally divided into high and low signaling test result groups, suggesting that little correlation exists between HER2 protein expression and HER2 signaling level. Unexpectedly, the highest HER2-driven signaling level recorded was with a HER2- cell line. Measurement of HER2 signaling activity in the tumor cells of breast cancer patients is a feasible approach to explore as a biomarker to identify HER2-driven cancers not currently diagnosable with genomic techniques. The wide range of HER2-driven signaling levels measured suggests it may be possible to make a distinction between normal and abnormal levels of activity. Analytical validation studies and clinical trials treating HER2- patients with abnormal HER2-driven signaling would be required to evaluate the analytical and clinical validity of using this functional biomarker as a diagnostic test to select patients for treatment with HER2 targeted therapy. In clinical practice, this method would require patient specimens be delivered to and tested in a central lab.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 24%
Student > Bachelor 5 15%
Other 4 12%
Student > Postgraduate 3 9%
Lecturer 2 6%
Other 4 12%
Unknown 8 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 18%
Medicine and Dentistry 6 18%
Agricultural and Biological Sciences 3 9%
Computer Science 3 9%
Engineering 2 6%
Other 6 18%
Unknown 8 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 17 May 2022.
All research outputs
#2,829,252
of 23,605,418 outputs
Outputs from BMC Cancer
#576
of 8,485 outputs
Outputs of similar age
#53,227
of 309,459 outputs
Outputs of similar age from BMC Cancer
#14
of 124 outputs
Altmetric has tracked 23,605,418 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,485 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 93% 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 309,459 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.