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Cytotoxicity of Paclitaxel in Breast Cancer Is due to Chromosome Missegregation on Multipolar Spindles

Overview of attention for article published in Science Translational Medicine, March 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
2 X users
patent
5 patents
facebook
1 Facebook page
reddit
1 Redditor
f1000
1 research highlight platform

Readers on

mendeley
398 Mendeley
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Article details
Title
Cytotoxicity of Paclitaxel in Breast Cancer Is due to Chromosome Missegregation on Multipolar Spindles
Published in
Science Translational Medicine, March 2014
DOI 10.1126/scitranslmed.3007965
Pubmed ID
Authors
Abstract

The blockbuster chemotherapy drug paclitaxel is widely presumed to cause cell death in tumors as a consequence of mitotic arrest, as it does at concentrations routinely used in cell culture. However, we determine here that paclitaxel levels in primary breast tumors are well below those required to elicit sustained mitotic arrest. Instead, cells in these lower concentrations of drug proceed through mitosis without substantial delay and divide their chromosomes on multipolar spindles, resulting in chromosome missegregation and cell death. Consistent with these cell culture data, most mitotic cells in primary human breast cancers contain multipolar spindles after paclitaxel treatment. Contrary to the previous hypothesis, we find that mitotic arrest is dispensable for tumor regression in patients. These results demonstrate that mitotic arrest is not responsible for the efficacy of paclitaxel, which occurs because of chromosome missegregation on highly abnormal, multipolar spindles. This mechanistic insight may be used to improve selection of future antimitotic drugs and to identify a biomarker with which to select patients likely to benefit from paclitaxel.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 398 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 6 2%
United Kingdom 4 1%
Mexico 1 <1%
Japan 1 <1%
France 1 <1%
Brazil 1 <1%
Unknown 384 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 87 22%
Researcher 66 17%
Student > Bachelor 44 11%
Student > Master 27 7%
Student > Doctoral Student 21 5%
Other 49 12%
Unknown 104 26%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 115 29%
Agricultural and Biological Sciences 65 16%
Medicine and Dentistry 34 9%
Pharmacology, Toxicology and Pharmaceutical Science 16 4%
Chemistry 13 3%
Other 39 10%
Unknown 116 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 45. 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 April 2026.
All research outputs
#1,102,545
of 32,083,093 outputs
Outputs from Science Translational Medicine
#2,305
of 5,689 outputs
Outputs of similar age
#9,041
of 257,324 outputs
Outputs of similar age from Science Translational Medicine
#24
of 86 outputs
Altmetric has tracked 32,083,093 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,689 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 93.5. This one has gotten more attention than average, scoring higher than 59% 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 257,324 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.