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Genomic Determinants of PI3K Pathway Inhibitor Response in Cancer

Overview of attention for article published in Frontiers in oncology, January 2012
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Title
Genomic Determinants of PI3K Pathway Inhibitor Response in Cancer
Published in
Frontiers in oncology, January 2012
DOI 10.3389/fonc.2012.00109
Pubmed ID
Authors

Britta Weigelt, Julian Downward

Abstract

The phosphoinositide 3-kinase (PI3K) pathway is frequently activated in cancer as a result of genetic (e.g., amplifications, mutations, deletions) and epigenetic (e.g., methylation, regulation by non-coding RNAs) aberrations targeting its key components. Several lines of evidence demonstrate that tumors from different anatomical sites depend on the continued activation of this pathway for the maintenance of their malignant phenotype. The PI3K pathway therefore is an attractive candidate for therapeutic intervention, and inhibitors targeting different components of this pathway are in various stages of clinical development. Burgeoning data suggest that the genomic features of a given tumor determine its response to targeted small molecule inhibitors. Importantly, alterations of different components of the PI3K pathway may result in distinct types of dependencies and response to specific therapeutic agents. In this review, we will focus on the genomic determinants of response to PI3K, dual PI3K/mechanistic target of rapamycin (mTOR), mTOR, and AKT inhibitors in cancer identified in preclinical models and clinical trials to date, and the development of molecular tools for the stratification of cancer patients.

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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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Austria 1 <1%
Unknown 112 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 24%
Student > Master 21 18%
Researcher 17 15%
Student > Bachelor 14 12%
Other 4 4%
Other 14 12%
Unknown 17 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 27%
Biochemistry, Genetics and Molecular Biology 26 23%
Medicine and Dentistry 25 22%
Immunology and Microbiology 4 4%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 7 6%
Unknown 17 15%
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 31 August 2012.
All research outputs
#22,778,604
of 25,394,764 outputs
Outputs from Frontiers in oncology
#15,927
of 22,440 outputs
Outputs of similar age
#228,625
of 250,240 outputs
Outputs of similar age from Frontiers in oncology
#100
of 161 outputs
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So far Altmetric has tracked 22,440 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 161 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.