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Therapeutic control and resistance of the EGFR-driven signaling network in glioblastoma

Overview of attention for article published in Cell Communication and Signaling, March 2015
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Title
Therapeutic control and resistance of the EGFR-driven signaling network in glioblastoma
Published in
Cell Communication and Signaling, March 2015
DOI 10.1186/s12964-015-0098-6
Pubmed ID
Authors

Francisco Azuaje, Katja Tiemann, Simone P Niclou

Abstract

The alteration of the epidermal growth factor receptor (EGFR)-driven signaling network is a characteristic feature of glioblastomas (GBM), and its inhibition represents a treatment strategy. However, EGFR-targeted interventions have been largely ineffective. Complex perturbations in this system are likely to be central to tumor cells with high adaptive capacity and resistance to therapies. We review key concepts and mechanisms relevant to EGFR-targeted treatment resistance at a systems level. Our understanding of treatment resistance as a systems-level phenomenon is necessary to develop effective therapeutic options for GBM patients. This is allowing us to go beyond the notion of therapeutic targets as single molecular components, into strategies that can weaken cancer signaling robustness and boost inherent network-level vulnerabilities.

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

Geographical breakdown

Country Count As %
Portugal 1 2%
Brazil 1 2%
Unknown 41 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 30%
Researcher 7 16%
Student > Bachelor 6 14%
Student > Master 6 14%
Student > Doctoral Student 2 5%
Other 4 9%
Unknown 5 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 28%
Agricultural and Biological Sciences 9 21%
Medicine and Dentistry 8 19%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Chemistry 2 5%
Other 4 9%
Unknown 5 12%
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 22 September 2015.
All research outputs
#20,292,660
of 22,829,083 outputs
Outputs from Cell Communication and Signaling
#917
of 991 outputs
Outputs of similar age
#224,038
of 264,653 outputs
Outputs of similar age from Cell Communication and Signaling
#9
of 11 outputs
Altmetric has tracked 22,829,083 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 991 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% 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 264,653 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 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.