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Evolution and clinical impact of co-occurring genetic alterations in advanced-stage EGFR-mutant lung cancers

Overview of attention for article published in Nature Genetics, November 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
16 news outlets
twitter
156 X users
patent
2 patents
facebook
3 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
428 Dimensions

Readers on

mendeley
298 Mendeley
Title
Evolution and clinical impact of co-occurring genetic alterations in advanced-stage EGFR-mutant lung cancers
Published in
Nature Genetics, November 2017
DOI 10.1038/ng.3990
Pubmed ID
Authors

Collin M Blakely, Thomas B K Watkins, Wei Wu, Beatrice Gini, Jacob J Chabon, Caroline E McCoach, Nicholas McGranahan, Gareth A Wilson, Nicolai J Birkbak, Victor R Olivas, Julia Rotow, Ashley Maynard, Victoria Wang, Matthew A Gubens, Kimberly C Banks, Richard B Lanman, Aleah F Caulin, John St John, Anibal R Cordero, Petros Giannikopoulos, Andrew D Simmons, Philip C Mack, David R Gandara, Hatim Husain, Robert C Doebele, Jonathan W Riess, Maximilian Diehn, Charles Swanton, Trever G Bivona

Abstract

A widespread approach to modern cancer therapy is to identify a single oncogenic driver gene and target its mutant-protein product (for example, EGFR-inhibitor treatment in EGFR-mutant lung cancers). However, genetically driven resistance to targeted therapy limits patient survival. Through genomic analysis of 1,122 EGFR-mutant lung cancer cell-free DNA samples and whole-exome analysis of seven longitudinally collected tumor samples from a patient with EGFR-mutant lung cancer, we identified critical co-occurring oncogenic events present in most advanced-stage EGFR-mutant lung cancers. We defined new pathways limiting EGFR-inhibitor response, including WNT/β-catenin alterations and cell-cycle-gene (CDK4 and CDK6) mutations. Tumor genomic complexity increases with EGFR-inhibitor treatment, and co-occurring alterations in CTNNB1 and PIK3CA exhibit nonredundant functions that cooperatively promote tumor metastasis or limit EGFR-inhibitor response. This study calls for revisiting the prevailing single-gene driver-oncogene view and links clinical outcomes to co-occurring genetic alterations in patients with advanced-stage EGFR-mutant lung cancer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 156 X users 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 298 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 298 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 65 22%
Student > Ph. D. Student 43 14%
Student > Master 27 9%
Student > Bachelor 14 5%
Student > Doctoral Student 13 4%
Other 45 15%
Unknown 91 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 65 22%
Medicine and Dentistry 60 20%
Agricultural and Biological Sciences 34 11%
Pharmacology, Toxicology and Pharmaceutical Science 10 3%
Computer Science 5 2%
Other 24 8%
Unknown 100 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 206. 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 05 August 2021.
All research outputs
#188,959
of 25,315,460 outputs
Outputs from Nature Genetics
#292
of 7,554 outputs
Outputs of similar age
#3,927
of 338,499 outputs
Outputs of similar age from Nature Genetics
#8
of 56 outputs
Altmetric has tracked 25,315,460 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.0. This one has done particularly well, scoring higher than 96% 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 338,499 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 98% of its contemporaries.
We're also able to compare this research output to 56 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.