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Downregulation of MYCN through PI3K Inhibition in Mouse Models of Pediatric Neural Cancer

Overview of attention for article published in Frontiers in oncology, May 2015
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Title
Downregulation of MYCN through PI3K Inhibition in Mouse Models of Pediatric Neural Cancer
Published in
Frontiers in oncology, May 2015
DOI 10.3389/fonc.2015.00111
Pubmed ID
Authors

Tene Aneka Cage, Yvan Chanthery, Louis Chesler, Matthew Grimmer, Zachary Knight, Kevan Shokat, William A. Weiss, W. Clay Gustafson

Abstract

The MYCN proto-oncogene is associated with poor outcome across a broad range of pediatric tumors. While amplification of MYCN drives subsets of high-risk neuroblastoma and medulloblastoma, dysregulation of MYCN in medulloblastoma (in the absence of amplification) also contributes to pathogenesis. Since PI3K stabilizes MYCN, we have used inhibitors of PI3K to drive degradation. In this study, we show PI3K inhibitors by themselves induce cell cycle arrest, with modest induction of apoptosis. In screening inhibitors of PI3K against MYCN, we identified PIK-75 and its derivative, PW-12, inhibitors of both PI3K and of protein kinases, to be highly effective in destabilizing MYCN. To determine the effects of PW-12 treatment in vivo, we analyzed a genetically engineered mouse model for MYCN-driven neuroblastoma and a model of MYCN-driven medulloblastoma. PW-12 showed significant activity in both models, inducing vascular collapse and regression of medulloblastoma with prominent apoptosis in both models. These results demonstrate that inhibitors of lipid and protein kinases can drive apoptosis in MYCN-driven cancers and support the importance of MYCN as a therapeutic target.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 24%
Student > Master 4 14%
Researcher 4 14%
Professor > Associate Professor 2 7%
Other 2 7%
Other 3 10%
Unknown 7 24%
Readers by discipline Count As %
Medicine and Dentistry 9 31%
Agricultural and Biological Sciences 7 24%
Biochemistry, Genetics and Molecular Biology 5 17%
Physics and Astronomy 1 3%
Economics, Econometrics and Finance 1 3%
Other 0 0%
Unknown 6 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 June 2015.
All research outputs
#20,712,696
of 26,311,549 outputs
Outputs from Frontiers in oncology
#9,720
of 22,970 outputs
Outputs of similar age
#195,335
of 280,055 outputs
Outputs of similar age from Frontiers in oncology
#43
of 71 outputs
Altmetric has tracked 26,311,549 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,970 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 280,055 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.