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Deregulation of the spindle assembly checkpoint is associated with paclitaxel resistance in ovarian cancer

Overview of attention for article published in Journal of Ovarian Research, April 2018
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Title
Deregulation of the spindle assembly checkpoint is associated with paclitaxel resistance in ovarian cancer
Published in
Journal of Ovarian Research, April 2018
DOI 10.1186/s13048-018-0399-7
Pubmed ID
Authors

Taryne Chong, Amila Sarac, Cindy Q. Yao, Linda Liao, Nicola Lyttle, Paul C. Boutros, John M. S. Bartlett, Melanie Spears

Abstract

Ovarian cancer is the leading gynecologic cancer diagnosed in North America and because related symptoms are not disease specific, this often leads to late detection, an advanced disease state, and the need for chemotherapy. Ovarian cancer is frequently sensitive to chemotherapy at diagnosis but rapid development of drug resistance leads to disease progression and ultimately death in the majority of patients. We have generated paclitaxel resistant ovarian cell lines from their corresponding native cell lines to determine driver mechanisms of drug resistance using gene expression arrays. These paclitaxel resistant ovarian cells demonstrate: (1) Increased IC50for paclitaxel and docetaxel (10 to 75-fold) and cross-resistance to anthracyclines (2) Reduced cell apoptosis in the presence of paclitaxel (3) Gene depletion involving mitotic regulators BUB1 mitotic checkpoint serine/threonine kinase, cyclin BI (CCNB1), centromere protein E (CENPE), and centromere protein F (CENPF), and (4) Functional data validating gene depletion among mitotic regulators. We have generated model systems to explore drug resistance in ovarian cancer, which have revealed a key pathway related to the spindle assembly checkpoint underlying paclitaxel resistance in ovarian cell lines.

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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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Student > Master 4 14%
Student > Doctoral Student 3 11%
Student > Bachelor 3 11%
Lecturer 2 7%
Other 3 11%
Unknown 7 25%
Readers by discipline Count As %
Medicine and Dentistry 7 25%
Biochemistry, Genetics and Molecular Biology 6 21%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Unspecified 1 4%
Agricultural and Biological Sciences 1 4%
Other 3 11%
Unknown 9 32%
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 21 September 2018.
All research outputs
#14,979,439
of 23,041,514 outputs
Outputs from Journal of Ovarian Research
#202
of 601 outputs
Outputs of similar age
#198,826
of 329,124 outputs
Outputs of similar age from Journal of Ovarian Research
#8
of 15 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 601 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 60% 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 329,124 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.