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Ibrutinib and venetoclax target distinct subpopulations of CLL cells: implication for residual disease eradication

Overview of attention for article published in Blood Cancer Journal, February 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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2 news outlets
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45 Mendeley
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Article details
Title
Ibrutinib and venetoclax target distinct subpopulations of CLL cells: implication for residual disease eradication
Published in
Blood Cancer Journal, February 2021
DOI 10.1038/s41408-021-00429-z
Pubmed ID
Authors
Abstract

Ibrutinib inhibits Bruton tyrosine kinase while venetoclax is a specific inhibitor of the anti-apoptotic protein BCL2. Both drugs are highly effective as monotherapy against chronic lymphocytic leukemia (CLL), and clinical trials using the combination therapy have produced remarkable results in terms of rate of complete remission and frequency of undetectable minimal residual disease. However, the laboratory rationale behind the success of the drug combination is still lacking. A better understanding of how these two drugs synergize would eventually help develop other rational combination strategies. Using an ex vivo model that promotes CLL proliferation, we show that modeled ibrutinib proliferative responses, but not viability responses, correlate well with patients' actual clinical responses. Importantly, we demonstrate for the first time that ibrutinib and venetoclax act on distinct CLL subpopulations that have different proliferative capacities. While the dividing subpopulation of CLL responds to ibrutinib, the resting subpopulation preferentially responds to venetoclax. The combination of these targeted therapies effectively reduced both the resting and dividing subpopulations in most cases. Our laboratory findings help explain several clinical observations and contribute to the understanding of tumor dynamics. Additionally, our proliferation model may be used to identify novel drug combinations with the potential of eradicating residual disease.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 45 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 %
Unknown 45 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 5 11%
Student > Bachelor 4 9%
Other 3 7%
Unspecified 2 4%
Student > Doctoral Student 2 4%
Other 7 16%
Unknown 22 49%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 20%
Medicine and Dentistry 5 11%
Immunology and Microbiology 3 7%
Unspecified 2 4%
Agricultural and Biological Sciences 2 4%
Other 2 4%
Unknown 22 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 15 June 2021.
All research outputs
#2,174,631
of 28,879,505 outputs
Outputs from Blood Cancer Journal
#264
of 1,555 outputs
Outputs of similar age
#52,955
of 463,779 outputs
Outputs of similar age from Blood Cancer Journal
#12
of 58 outputs
Altmetric has tracked 28,879,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,555 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has done well, scoring higher than 82% 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 463,779 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 88% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.