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Inhibition of Pol I transcription treats murine and human AML by targeting the leukemia-initiating cell population

Overview of attention for article published in Blood, March 2017
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
7 news outlets
twitter
13 X users

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
78 Mendeley
citeulike
1 CiteULike
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Title
Inhibition of Pol I transcription treats murine and human AML by targeting the leukemia-initiating cell population
Published in
Blood, March 2017
DOI 10.1182/blood-2016-05-718171
Pubmed ID
Authors

Nadine Hein, Donald P Cameron, Katherine M Hannan, Nhu-Y N Nguyen, Chun Yew Fong, Jirawas Sornkom, Meaghan Wall, Megan Pavy, Carleen Cullinane, Jeannine Diesch, Jennifer R Devlin, Amee J George, Elaine Sanij, Jaclyn Quin, Gretchen Poortinga, Inge Verbrugge, Adele Baker, Denis Drygin, Simon J Harrison, James D Rozario, Jason A Powell, Stuart M Pitson, Johannes Zuber, Ricky W Johnstone, Mark A Dawson, Mark A Guthridge, Andrew Wei, Grant A McArthur, Richard B Pearson, Ross D Hannan

Abstract

Despite the development of novel drugs, prospects for many patients with acute myeloid leukemia (AML) remain dismal. This study reveals that the selective inhibitor of RNA Polymerase I (Pol I) transcription, CX-5461, effectively treats aggressive AML, including MLL-driven AML, and outperforms standard chemotherapies. In addition to the previously characterized mechanism of action of CX-5461, the induction of p53-dependant apoptotic cell death, inhibition of Pol I transcription also demonstrates potent efficacy in p53null AML in vivo. This significant survival advantage in both p53WT and p53null leukemic mice treated with CX-5461 is associated with activation of the checkpoint kinases CHK1/CHK2, an aberrant G2/M cell cycle progression and induction of myeloid differentiation of the leukemic blasts. The ability to target the leukemic-initiating cell population is thought to be essential for lasting therapeutic benefit. Most strikingly, acute inhibition of Pol I transcription reduces both the leukemic granulocyte-macrophage progenitor and leukemia initiating cell (LIC) populations, and suppresses their clonogenic capacity. This suggests that dysregulated Pol I transcription is essential for the maintenance of their leukemia initiating potential. Together these findings demonstrate the therapeutic utility of this new class of inhibitors to treat highly aggressive AML by targeting leukemia initiating cells.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 18%
Student > Master 11 14%
Student > Bachelor 11 14%
Student > Ph. D. Student 7 9%
Professor 5 6%
Other 14 18%
Unknown 16 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 31%
Medicine and Dentistry 14 18%
Agricultural and Biological Sciences 11 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Chemistry 2 3%
Other 6 8%
Unknown 19 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 56. 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 10 June 2017.
All research outputs
#758,958
of 25,382,440 outputs
Outputs from Blood
#498
of 33,240 outputs
Outputs of similar age
#15,785
of 321,209 outputs
Outputs of similar age from Blood
#11
of 283 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,240 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 98% 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 321,209 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 95% of its contemporaries.
We're also able to compare this research output to 283 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.