↓ Skip to main content

A chemical-genetic screen reveals a mechanism of resistance to PI3K inhibitors in cancer

Overview of attention for article published in Nature Chemical Biology, September 2011
Altmetric Badge

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 (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

twitter
1 X user
patent
5 patents

Citations

dimensions_citation
155 Dimensions

Readers on

mendeley
160 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A chemical-genetic screen reveals a mechanism of resistance to PI3K inhibitors in cancer
Published in
Nature Chemical Biology, September 2011
DOI 10.1038/nchembio.695
Pubmed ID
Authors

Markus K Muellner, Iris Z Uras, Bianca V Gapp, Claudia Kerzendorfer, Michal Smida, Hannelore Lechtermann, Nils Craig-Mueller, Jacques Colinge, Gerhard Duernberger, Sebastian M B Nijman

Abstract

Linking the molecular aberrations of cancer to drug responses could guide treatment choice and identify new therapeutic applications. However, there has been no systematic approach for analyzing gene-drug interactions in human cells. Here we establish a multiplexed assay to study the cellular fitness of a panel of engineered isogenic cancer cells in response to a collection of drugs, enabling the systematic analysis of thousands of gene-drug interactions. Applying this approach to breast cancer revealed various synthetic-lethal interactions and drug-resistance mechanisms, some of which were known, thereby validating the method. NOTCH pathway activation, which occurs frequently in breast cancer, unexpectedly conferred resistance to phosphoinositide 3-kinase (PI3K) inhibitors, which are currently undergoing clinical trials in breast cancer patients. NOTCH1 and downstream induction of c-MYC over-rode the dependency of cells on the PI3K-mTOR pathway for proliferation. These data reveal a new mechanism of resistance to PI3K inhibitors with direct clinical implications.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
Austria 2 1%
United Kingdom 2 1%
Italy 1 <1%
Sweden 1 <1%
Australia 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 148 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 28%
Student > Ph. D. Student 29 18%
Professor > Associate Professor 12 8%
Student > Master 12 8%
Other 9 6%
Other 29 18%
Unknown 25 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 37%
Biochemistry, Genetics and Molecular Biology 29 18%
Medicine and Dentistry 23 14%
Chemistry 17 11%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 3 2%
Unknown 25 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 July 2020.
All research outputs
#4,481,216
of 22,653,392 outputs
Outputs from Nature Chemical Biology
#1,831
of 3,052 outputs
Outputs of similar age
#25,235
of 131,164 outputs
Outputs of similar age from Nature Chemical Biology
#18
of 37 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,052 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.3. This one is in the 39th percentile – i.e., 39% 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 131,164 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 80% of its contemporaries.
We're also able to compare this research output to 37 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 51% of its contemporaries.