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FGFR Genetic Alterations Predict for Sensitivity to NVP-BGJ398, a Selective Pan-FGFR Inhibitor

Overview of attention for article published in Cancer Discovery, December 2012
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
patent
13 patents

Citations

dimensions_citation
297 Dimensions

Readers on

mendeley
213 Mendeley
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Title
FGFR Genetic Alterations Predict for Sensitivity to NVP-BGJ398, a Selective Pan-FGFR Inhibitor
Published in
Cancer Discovery, December 2012
DOI 10.1158/2159-8290.cd-12-0210
Pubmed ID
Authors

Vito Guagnano, Audrey Kauffmann, Simon Wöhrle, Christelle Stamm, Moriko Ito, Louise Barys, Astrid Pornon, Yao Yao, Fang Li, Yun Zhang, Zhi Chen, Christopher J. Wilson, Vincent Bordas, Mickaël Le Douget, L. Alex Gaither, Jason Borawski, John E. Monahan, Kavitha Venkatesan, Thomas Brümmendorf, David M. Thomas, Carlos Garcia-Echeverria, Francesco Hofmann, William R. Sellers, Diana Graus-Porta

Abstract

Patient stratification biomarkers that enable the translation of cancer genetic knowledge into clinical use are essential for the successful and rapid development of emerging targeted anticancer therapeutics. Here, we describe the identification of patient stratification biomarkers for NVP-BGJ398, a novel and selective fibroblast growth factor receptor (FGFR) inhibitor. By intersecting genome-wide gene expression and genomic alteration data with cell line-sensitivity data across an annotated collection of cancer cell lines called the Cancer Cell Line Encyclopedia, we show that genetic alterations for FGFR family members predict for sensitivity to NVP-BGJ398. For the first time, we report oncogenic FGFR1 amplification in osteosarcoma as a potential patient selection biomarker. Furthermore, we show that cancer cell lines harboring FGF19 copy number gain at the 11q13 amplicon are sensitive to NVP-BGJ398 only when concomitant expression of β-klotho occurs. Thus, our findings provide the rationale for the clinical development of FGFR inhibitors in selected patients with cancer harboring tumors with the identified predictors of sensitivity. The success of a personalized medicine approach using targeted therapies ultimately depends on being able to identify the patients who will benefit the most from any given drug. To this end, we have integrated the molecular profiles for more than 500 cancer cell lines with sensitivity data for the novel anticancer drug NVP-BGJ398 and showed that FGFR genetic alterations are the most significant predictors for sensitivity. This work has ultimately endorsed the incorporation of specific patient selection biomakers in the clinical trials for NVP-BGJ398.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Argentina 1 <1%
Switzerland 1 <1%
Unknown 209 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 69 32%
Student > Ph. D. Student 36 17%
Student > Master 15 7%
Other 12 6%
Student > Doctoral Student 10 5%
Other 33 15%
Unknown 38 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 23%
Biochemistry, Genetics and Molecular Biology 47 22%
Medicine and Dentistry 42 20%
Chemistry 11 5%
Pharmacology, Toxicology and Pharmaceutical Science 10 5%
Other 10 5%
Unknown 43 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 03 October 2023.
All research outputs
#1,948,370
of 23,342,092 outputs
Outputs from Cancer Discovery
#850
of 3,740 outputs
Outputs of similar age
#18,690
of 281,567 outputs
Outputs of similar age from Cancer Discovery
#7
of 54 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,740 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.1. This one has done well, scoring higher than 77% 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 281,567 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.