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Identification of Selective Lead Compounds for Treatment of High-Ploidy Breast Cancer

Overview of attention for article published in Molecular Cancer Therapeutics, January 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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2 X users
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1 patent
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1 Facebook page

Readers on

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52 Mendeley
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1 CiteULike
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Article details
Title
Identification of Selective Lead Compounds for Treatment of High-Ploidy Breast Cancer
Published in
Molecular Cancer Therapeutics, January 2016
DOI 10.1158/1535-7163.mct-15-0527
Pubmed ID
Authors
Abstract

Increased ploidy is common in tumors but treatments for tumors with excess chromosome sets are not available. Here, we characterize high-ploidy breast cancers and identify potential anticancer compounds selective for the high-ploidy state. Among 354 human breast cancers, 10% have mean chromosome copy number exceeding 3, and this is most common in triple negative and HER2-positive types. Women with high-ploidy breast cancers have higher risk of recurrence and death in two patient cohorts, demonstrating that it represents an important group for improved treatment. Because high-ploidy cancers are aneuploid, rather than triploid or tetraploid, we devised a two-step screen to identify selective compounds. The screen was designed to assure both external validity on diverse karyotypic backgrounds and specificity for high-ploidy cell types. This screen identified novel therapies specific to high-ploidy cells. First, we discovered 8-azaguanine, an antimetabolite that is activated by hypoxanthine phosphoribosyltransferase (HPRT), suggesting an elevated gene-dosage of HPRT in high-ploidy tumors can control sensitivity to this drug. Second, we discovered a novel compound, 2,3-Diphenylbenzo[g]quinoxaline-5,10-dione (DPBQ). DPBQ activates p53 and triggers apoptosis in a polyploid-specific manner, but does not inhibit topoisomerase or bind DNA. Mechanistic analysis demonstrates that DPBQ elicits a hypoxia gene signature and its effect is replicated, in part, by enhancing oxidative stress. Structure-function analysis defines the core benzo[g]quinoxaline-5,10 dione as being necessary for the polyploid-specific effects of DPBQ. We conclude that polyploid breast cancers represent a high-risk subgroup and that DPBQ provides a functional core to develop polyploid-selective therapy.

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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 52 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 52 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 11 21%
Student > Bachelor 7 13%
Researcher 7 13%
Student > Master 3 6%
Professor > Associate Professor 3 6%
Other 5 10%
Unknown 16 31%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 12 23%
Biochemistry, Genetics and Molecular Biology 7 13%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Medicine and Dentistry 3 6%
Nursing and Health Professions 2 4%
Other 8 15%
Unknown 17 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 31 August 2021.
All research outputs
#6,800,577
of 22,833,393 outputs
Outputs from Molecular Cancer Therapeutics
#1,507
of 3,862 outputs
Outputs of similar age
#109,153
of 393,734 outputs
Outputs of similar age from Molecular Cancer Therapeutics
#23
of 111 outputs
Altmetric has tracked 22,833,393 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,862 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. 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 393,734 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 111 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.